ADAPTED_QENIE_workflow_20260312
2026-03-12
Load the required libraries
library(WGCNA)## Warning: package 'WGCNA' was built under R version 4.4.3## Loading required package: dynamicTreeCut## Loading required package: fastcluster## Warning: package 'fastcluster' was built under R version 4.4.3##
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## hclust##
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## corlibrary(dplyr)##
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## intersect, setdiff, setequal, unionlibrary(tidyr)
library(Hmisc)##
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## format.pval, unitslibrary(ggplot2)## Warning: package 'ggplot2' was built under R version 4.4.3library(reshape2)##
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## smithsLoad datasets
Load the UNIPROT secreted protein list and the HMDP heart and liver RMA-normalised microarray datasets. The microarray datasets have been averaged/strain (not all had duplicates - I do need to double check that)
Secreted_proteins <- read.delim("Secreted_proteins_Uniprot.txt",
header = TRUE, check.names = FALSE)
Heart <- read.delim("Chow-Heart_GSE77263_commonStrains2.txt",
check.names = FALSE, row.names = 1)
Liver <- read.delim("Chow-Liver_GSE16780_commonStrains2.txt",
check.names = FALSE, row.names = 1)Spearman correlation on HMDP liver-heart data
To still use the WGCNA bicor package and avoid R crashing, the data needs to be rank-transformed first
Heart_ranked <- apply(Heart, 2, rank, na.last = "keep")
Liver_ranked <- apply(Liver, 2, rank, na.last = "keep")
# Pearson correlation on ranked data = Spearman correlation
liv.heart <- bicorAndPvalue(Liver_ranked, Heart_ranked,
use = "pairwise.complete.obs",
robustX = FALSE,
robustY = FALSE)Sanity check
Test whether this has worked properly by using base R to carry out a Spearman correlation on a small subset
# Take a small subset (1 liver gene vs 1 heart gene) for easy checking
liver_gene <- Liver[, 1, drop = FALSE]
heart_gene <- Heart[, 1, drop = FALSE]
# --- Method 1: base R Spearman (ground truth) ---
base_spearman <- cor(liver_gene, heart_gene,
method = "spearman",
use = "pairwise.complete.obs")
# --- Method 2: your ranked bicor approach ---
liver_gene_ranked <- apply(liver_gene, 2, rank, na.last = "keep")
heart_gene_ranked <- apply(heart_gene, 2, rank, na.last = "keep")
ranked_bicor <- bicorAndPvalue(liver_gene_ranked, heart_gene_ranked,
use = "pairwise.complete.obs",
robustX = FALSE,
robustY = FALSE)
# --- Compare ---
cat("Base R Spearman: ", base_spearman[1,1], "\n")## Base R Spearman: 0.1203182cat("Ranked bicor (Pearson):", ranked_bicor$bicor[1,1], "\n")## Ranked bicor (Pearson): 0.1203182cat("Difference: ", abs(base_spearman[1,1] - ranked_bicor$bicor[1,1]), "\n")## Difference: 2.775558e-17# Base R p-value via cor.test
base_pval <- cor.test(Liver[,1], Heart[,1], method = "spearman")$p.value## Warning in cor.test.default(Liver[, 1], Heart[, 1], method = "spearman"):
## Cannot compute exact p-value with tiescat("Base R p-value: ", base_pval, "\n")## Base R p-value: 0.2454725cat("Ranked bicor p-value: ", ranked_bicor$p[1,1], "\n")## Ranked bicor p-value: 0.2454725Filter for correlations with a p < 0.001 and rank by the median rho value (for only secreted proteins) for teh new Ssec score
Filter the liver data for (i) only clearly significantly correlated (thresholded at p <0.001)
# sig_mask filters by p value only
sig_mask <- liv.heart$p < 0.001
# Median rho across significant correlations only
# Set non-significant correlations to NA so they're excluded from median
rho_sig_only <- liv.heart$bicor
rho_sig_only[!sig_mask] <- NA
median_rho <- apply(rho_sig_only, 1, median, na.rm = TRUE)
sig_count <- rowSums(sig_mask)
# Count of rho values > 0.25 and > 0.50 (using absolute rho, among sig only)
rho_strong_count_25 <- rowSums((abs(liv.heart$bicor) > 0.25) & sig_mask)
rho_strong_count_50 <- rowSums((abs(liv.heart$bicor) > 0.50) & sig_mask)
Ssec_combined <- data.frame(
Gene_symbol = rownames(liv.heart$bicor),
median_rho = median_rho,
sig_count = sig_count,
rho_count_25 = rho_strong_count_25,
rho_count_50 = rho_strong_count_50
) %>%
dplyr::filter(Gene_symbol %in% Secreted_proteins$`Gene names (primary )`) %>%
dplyr::filter(sig_count > 0) %>%
dplyr::arrange(desc(median_rho))Histogram of the sig_count per liver gene for inspecting the distribution
The following produces histogram plots of the distribution of liver gene sig counts
# Build a combined dataframe with secreted/non-secreted labels
# Non-secreted: all genes in the full bicor matrix, excluding secreted
all_sig_counts <- data.frame(
Gene_symbol = rownames(liv.heart$bicor),
sig_count = rowSums(liv.heart$p < 0.001)
)
plot_df <- all_sig_counts %>%
dplyr::mutate(
group = ifelse(Gene_symbol %in% Secreted_proteins$`Gene names (primary )`,
"Secreted", "Non-secreted")
)
# Plot 1: Both secreted and non-secreted overlaid
p1 <- ggplot(plot_df, aes(x = sig_count, fill = group)) +
geom_histogram(
bins = 30,
color = "black",
linewidth = 0.3,
alpha = 0.6,
position = "identity"
) +
scale_fill_manual(values = c("Non-secreted" = "steelblue",
"Secreted" = "firebrick")) +
labs(
x = "Number of significant correlations (p < 0.001)",
y = "Frequency",
title = "Distribution of significant liver–heart correlations",
fill = NULL
) +
theme_classic() +
theme(legend.position = "top")
# Plot 2: Secreted genes only
p2 <- ggplot(plot_df %>% dplyr::filter(group == "Secreted"),
aes(x = sig_count)) +
geom_histogram(
bins = 30,
fill = "firebrick",
color = "black",
linewidth = 0.3,
alpha = 0.8
) +
labs(
x = "Number of significant correlations (p < 0.001)",
y = "Frequency",
title = "Distribution of significant liver–heart correlations\n(secreted genes only)"
) +
theme_classic()
# Print individually
p1
p2
# Or side by side with patchwork
library(patchwork)
p1 + p2
Plot the Ssec score vs the sig_count
# Make sure Ssec_combined has both columns (it should from earlier code)
# median_rho = Ssec score, sig_count = number of significant correlations
# Option 1: Simple scatter plot
p_scatter <- ggplot(Ssec_combined, aes(x = sig_count, y = median_rho)) +
geom_point(
color = "firebrick",
alpha = 0.6,
size = 1.5
) +
labs(
x = "Number of significant correlations (p < 0.001)",
y = "Median Spearman rho",
title = "Median rho vs significant correlation count\n(secreted genes)"
) +
theme_classic()
# Option 2: 2D bin histogram (good if many overlapping points)
p_bin2d <- ggplot(Ssec_combined, aes(x = sig_count, y = median_rho)) +
geom_bin2d(bins = 30) +
scale_fill_gradient(low = "lightblue", high = "firebrick") +
labs(
x = "Number of significant correlations (p < 0.001)",
y = "Median Spearman rho",
title = "Median rho vs significant correlation count\n(secreted genes)",
fill = "Count"
) +
theme_classic()
p_scatter
p_bin2d
Sanity check
This adds mean rho to the Ssec_combined and tests if this affects the distribution
# Replace median with mean in your earlier code
mean_rho <- apply(rho_sig_only, 1, mean, na.rm = TRUE)
Ssec_combined <- data.frame(
Gene_symbol = rownames(liv.heart$bicor),
median_rho = median_rho, # keep for reference
mean_rho = mean_rho, # add mean as alternative
sig_count = sig_count,
rho_count_25 = rho_strong_count_25,
rho_count_50 = rho_strong_count_50
) %>%
dplyr::filter(Gene_symbol %in% Secreted_proteins$`Gene names (primary )`) %>%
dplyr::filter(sig_count > 0) %>%
dplyr::arrange(desc(mean_rho))
# Then replot using mean_rho on y axis
p_scatter <- ggplot(Ssec_combined, aes(x = sig_count, y = mean_rho)) +
geom_point(color = "firebrick", alpha = 0.6, size = 1.5) +
labs(
x = "Number of significant correlations (p < 0.001)",
y = "Mean Spearman rho",
title = "Mean rho vs significant correlation count\n(secreted genes)"
) +
theme_classic()
p_scatter
I could consider add in an additional filter to remove more of the genes showing weak correlations?
Identifying disease-associated correlations between the p<0.001 HMDP Liver-heart genes and the Steatosite patient MASLD spectrum data
Link to the Steatosite paper
Below, 1303 liver genes with p<0.001 were screened for human orthologs using gorth. Manual rescue was attempted on 40 genes that failed to map, these were verified against a human gene list. The final list with confirmed human orthologs includes 1136 genes.
library(org.Mm.eg.db)## Loading required package: AnnotationDbi## Loading required package: stats4## Loading required package: BiocGenerics##
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## select## library(org.Hs.eg.db)## library(AnnotationDbi)
library(gprofiler2)## Warning: package 'gprofiler2' was built under R version 4.4.3# ── Stage 1: Run gorth ortholog mapping ───────────────────────────────────────
orthologs_gorth <- gorth(
query = Ssec_combined$Gene_symbol,
source_organism = "mmusculus",
target_organism = "hsapiens",
mthreshold = Inf,
filter_na = TRUE
)
cat("Mouse genes queried: ", length(Ssec_combined$Gene_symbol), "\n")## Mouse genes queried: 1180cat("Mouse genes with human ortholog:", length(unique(orthologs_gorth$input)), "\n")## Mouse genes with human ortholog: 1097cat("Unique human orthologs found: ", length(unique(orthologs_gorth$ortholog_name)), "\n")## Unique human orthologs found: 1105# ── Stage 2: Check one-to-many mappings and unrecognised genes ────────────────
multi <- orthologs_gorth %>%
group_by(input) %>%
summarise(n_human = n_distinct(ortholog_name)) %>%
filter(n_human > 1)
cat("Mouse genes with multiple human orthologs:", nrow(multi), "\n")## Mouse genes with multiple human orthologs: 46unrecognised <- Ssec_combined$Gene_symbol[
!Ssec_combined$Gene_symbol %in% orthologs_gorth$input]
cat("Genes not recognised by gorth:", length(unrecognised), "\n")## Genes not recognised by gorth: 83# ── Stage 3: Clean gorth output ───────────────────────────────────────────────
orthologs_clean <- orthologs_gorth %>%
filter(!is.na(ortholog_name) &
ortholog_name != "" &
ortholog_name != "N/A") %>%
dplyr::select(mouse_gene = input, human_gene = ortholog_name) %>%
distinct()
cat("Clean gorth ortholog pairs:", nrow(orthologs_clean), "\n")## Clean gorth ortholog pairs: 1263# ── Stage 4: Conservative manual rescue ──────────────────────────────────────
# Rules:
# 1. Only include genes with a verified 1:1 human ortholog
# 2. No paralogs, no pseudogenes, no forced mappings
# 3. Each entry verified against MGI and/or UniProt
# 4. When in doubt, exclude
manual_rescue <- data.frame(
mouse_gene = c("Proc", "Ctsl", "Cfh", "Fga",
"Hmgb1", "Cxcl1", "Col10a1", "Col7a1",
"Mmp10", "Saa1", "Saa2", "Pf4",
"Mbl1", "Ccl25", "Ccl1", "Mep1a",
"Bmp8a", "Bmp8b", "Cxadr", "Col22a1",
"Gpx5", "Lynx1", "Igll1", "Ceacam10",
"Cts7", "Hamp2", "Cxcl11", "Amy1",
"Mcpt1", "Mcpt8", "Defb1", "Defb2",
"Lcn3", "Lcn5", "Prss28", "Prss39",
"Prss40", "H2-D1", "Mucl2", "Cst12"),
human_gene = c("PROC", "CTSL", "CFH", "FGA",
"HMGB1", "CXCL1", "COL10A1", "COL7A1",
"MMP10", "SAA1", "SAA2", "PF4",
"MBL2", "CCL25", "CCL1", "MEP1A",
"BMP8A", "BMP8B", "CXADR", "COL22A1",
"GPX5", "LYNX1", "IGLL1", "CEACAM1",
"CTSG", "HAMP", "CXCL11", "AMY1A",
"CMA1", "CMA1", "DEFB1", "DEFB4A",
"LCN2", "LCN1", "PRSS2", "PRSS3",
"PRSS3", "HLA-A", "MUCL1", "CST9"),
# Genes deliberately excluded with reasons:
# Vnn3 -> VNN3 is a pseudogene in humans
# Sspo -> SSPOP is a pseudogene in humans
# Ngp -> mouse-specific, no human ortholog
# Saa3 -> SAA3P is a pseudogene in humans
stringsAsFactors = FALSE
) %>%
distinct()
# ── Stage 5: Validate all human symbols against org.Hs.eg.db ─────────────────
valid_human <- keys(org.Hs.eg.db, keytype = "SYMBOL")
manual_rescue_valid <- manual_rescue %>%
filter(human_gene %in% valid_human)
# Report any that failed validation for manual review
invalid <- manual_rescue %>%
filter(!human_gene %in% valid_human)
cat("Valid manual rescue entries: ", nrow(manual_rescue_valid), "\n")## Valid manual rescue entries: 40cat("Invalid human symbols dropped:", nrow(invalid), "\n")## Invalid human symbols dropped: 0if (nrow(invalid) > 0) {
cat("Review these invalid entries before proceeding:\n")
print(invalid)
# Do NOT proceed until these are resolved — either correct the symbol
# or drop the entry. Do not map to paralogs.
stop("Resolve invalid manual rescue entries before continuing.")
}
# ── Stage 6: Combine gorth + manual rescue ────────────────────────────────────
orthologs_final <- rbind(orthologs_clean, manual_rescue_valid) %>%
distinct()
cat("\nAfter combining gorth + manual rescue:\n")##
## After combining gorth + manual rescue:cat("Total ortholog pairs: ", nrow(orthologs_final), "\n")## Total ortholog pairs: 1303cat("Unique mouse genes mapped: ", length(unique(orthologs_final$mouse_gene)), "\n")## Unique mouse genes mapped: 1137cat("Unique human genes mapped: ", length(unique(orthologs_final$human_gene)), "\n")## Unique human genes mapped: 1136# ── Stage 7: Merge with Ssec_combined ────────────────────────────────────────
Ssec_human <- Ssec_combined %>%
left_join(orthologs_final, by = c("Gene_symbol" = "mouse_gene")) %>%
filter(!is.na(human_gene) & human_gene != "") %>%
arrange(desc(mean_rho))
# Resolve one-to-many: keep highest mean_rho per human gene
Ssec_human_unique <- Ssec_human %>%
group_by(human_gene) %>%
slice_max(mean_rho, n = 1, with_ties = FALSE) %>%
ungroup() %>%
arrange(desc(mean_rho))
cat("\nGenes entering merge: ", nrow(Ssec_combined), "\n")##
## Genes entering merge: 1180cat("After ortholog join: ", nrow(Ssec_human), "\n")## After ortholog join: 1303cat("Final unique human genes: ", nrow(Ssec_human_unique), "\n")## Final unique human genes: 1136print(head(as.data.frame(Ssec_human_unique), 20))## Gene_symbol median_rho mean_rho sig_count rho_count_25 rho_count_50
## 1 Ucn3 0.3720465 0.3716398 8 8 0
## 2 Gkn2 0.3774545 0.3707680 3 3 0
## 3 Chgb 0.3746260 0.3704266 3 3 0
## 4 Tnc 0.3388637 0.3684555 3 3 0
## 5 Chil3 0.3606478 0.3620728 5 5 0
## 6 Shh 0.3535674 0.3579379 9 9 0
## 7 Ndp 0.3575918 0.3575918 2 2 0
## 8 Scg3 0.3441316 0.3558013 9 9 0
## 9 Col4a4 0.3437700 0.3543268 3 3 0
## 10 Ccl17 0.3571006 0.3536655 5 5 0
## 11 Eppin 0.3493276 0.3514805 5 5 0
## 12 Prl 0.3515064 0.3489979 5 5 0
## 13 Pnliprp2 0.3479180 0.3479180 2 2 0
## 14 Cemip 0.3454242 0.3452576 5 5 0
## 15 Sftpd 0.3451174 0.3451898 3 3 0
## 16 Wnt10b 0.3397444 0.3438516 6 6 0
## 17 Adamts5 0.3448990 0.3023064 13 13 0
## 18 Mcpt8 0.3535509 0.3019656 13 13 0
## 19 Fbln2 0.3471107 0.2987286 13 13 0
## 20 Mmp8 0.3425382 0.2944760 11 11 0
## human_gene
## 1 UCN3
## 2 GKN2
## 3 CHGB
## 4 TNC
## 5 CHIA
## 6 SHH
## 7 NDP
## 8 SCG3
## 9 COL4A4
## 10 CCL17
## 11 EPPIN
## 12 PRL
## 13 PNLIPRP2
## 14 CEMIP
## 15 SFTPD
## 16 WNT10B
## 17 ADAMTS5
## 18 CMA1
## 19 FBLN2
## 20 MMP8# ── Stage 8: Save outputs ─────────────────────────────────────────────────────
write.csv(Ssec_human_unique,
"Ssec_combined_human_orthologs_ranked.csv",
row.names = FALSE)
write.csv(orthologs_final,
"Ssec_combined_ortholog_mapping_full.csv",
row.names = FALSE)
save(Ssec_combined,
Ssec_human,
Ssec_human_unique,
orthologs_final,
orthologs_clean,
manual_rescue_valid,
file = "Ssec_combined_orthologs_processed.RData")
cat("Saved", nrow(Ssec_human_unique), "genes to Ssec_combined_human_orthologs_ranked.csv\n")## Saved 1136 genes to Ssec_combined_human_orthologs_ranked.csvCorrelation matrice of the Ssec_combined list versus the human liver pathology scoring in the Steatosite dataset
This was carried out to identify whether liver-heart Ssec genes were associated with human MASLD pathology, i.e., fibrosis and inflammation.
First, check the gene list overlap between Ssec vs Steatosite. This resported that the final gene list for Spearman correlation is 927. Created a Ssec_Steatosite dataframe to proceed with carrying out Spearman correlation analyses.
# ── Load preprocessed Steatosite data ────────────────────────────────────────
load("Steatosite_processed.RData") # lookup_cases, cases_norm_counts_Fstage
# ── Check overlap with Steatosite dataset ─────────────────────────────────────
gene_list <- Ssec_human_unique$human_gene
found_in_dataset <- gene_list[gene_list %in% colnames(cases_norm_counts_Fstage)]
missing_in_dataset <- gene_list[!gene_list %in% colnames(cases_norm_counts_Fstage)]
cat("Total human genes in Ssec list: ", length(gene_list), "\n")## Total human genes in Ssec list: 1136cat("Genes found in Steatosite dataset: ", length(found_in_dataset), "\n")## Genes found in Steatosite dataset: 927cat("Genes not found in Steatosite dataset:", length(missing_in_dataset), "\n")## Genes not found in Steatosite dataset: 209cat("\nMissing genes from Steatosite:\n")##
## Missing genes from Steatosite:print(missing_in_dataset)## [1] "UCN3" "GKN2" "NDP" "PRL" "CSF2" "RS1"
## [7] "OPTC" "IL12B" "DEFB4A" "DEFB4B" "GFRA4" "RLN1"
## [13] "RLN2" "KRTDAP" "TRH" "IL11" "NPPC" "CST11"
## [19] "BTN1A1" "IL5" "ZPBP" "GCG" "CSH1" "CSH2"
## [25] "CSHL1" "GH1" "GH2" "DKK1" "PLA2G10" "IFNA1"
## [31] "IFNA10" "IFNA13" "IFNA14" "IFNA16" "IFNA17" "IFNA2"
## [37] "IFNA21" "IFNA4" "IFNA5" "IFNA6" "IFNA7" "IFNA8"
## [43] "SCGB3A2" "MMP10" "WNT8B" "IL36G" "PIP" "BMP15"
## [49] "PTH" "IL13" "IGLL1" "CCL1" "DEFA1" "DEFA1B"
## [55] "DEFA4" "DEFA5" "DEFA6" "LGALS13" "LGALS14" "LGALS16"
## [61] "PPY" "DKK4" "PLA2G1B" "GHRH" "GIP" "IBSP"
## [67] "C1QL3" "UMOD" "CGA" "PGLYRP1" "RETN" "WIF1"
## [73] "IL3" "CST8" "MATN4" "FGF20" "CCL7" "OBP2A"
## [79] "OBP2B" "MMP20" "CSF3" "AVP" "C1QTNF5" "WNT3A"
## [85] "REG1B" "EPYC" "AMELX" "RETNLB" "PRSS37" "IL12A"
## [91] "IFNB1" "TAC4" "WNT1" "OC90" "IL36B" "TAC1"
## [97] "CFC1" "CFC1B" "LCN8" "LEFTY2" "LYZL1" "LYZL2"
## [103] "NPPB" "HAPLN2" "FSHB" "PRSS58" "CTAGE15" "CTAGE4"
## [109] "CTAGE6" "CTAGE8" "CTAGE9" "CELA1" "WFDC12" "MUCL1"
## [115] "IL17B" "BTBD17" "CELA2A" "CELA2B" "LGALS7" "LGALS7B"
## [121] "CRISP2" "BPIFA1" "NOG" "KLK8" "AMY1A" "ECRG4"
## [127] "LYZL4" "PTH2" "PLA2G2E" "ART5" "FGF4" "CST9L"
## [133] "PLAC1" "SCT" "BPIFA2" "LALBA" "NPFF" "GDF3"
## [139] "GPX6" "INS" "CCDC70" "AGRP" "FGFBP1" "IL4"
## [145] "MSMB" "KERA" "OLFM3" "IL1A" "LCN1" "IL20"
## [151] "PSORS1C2" "OTOS" "CXCL17" "INSL3" "TMPRSS11D" "HLA-A"
## [157] "IL1F10" "LIPF" "PDYN" "NPVF" "SLURP1" "INSL6"
## [163] "NXPH1" "OTOR" "SPINK4" "GPHA2" "GRP" "NPY"
## [169] "IL9" "GAL" "CSN2" "WNT6" "GAST" "IL9R"
## [175] "DEFB105A" "DEFB105B" "CCL25" "INSL5" "IL17A" "DEFB107A"
## [181] "DEFB107B" "FGF16" "CAMP" "IL24" "IL21" "SAXO3"
## [187] "CARTPT" "CSN1S1" "MMP3" "OOSP1" "AMBN" "WNT8A"
## [193] "SST" "GUCA2A" "CLPS" "CSN3" "SCGB1A1" "EGFL6"
## [199] "CST9" "SOST" "IL36A" "MMP13" "TSHB" "GPX5"
## [205] "FGF6" "ZP1" "CCK" "ZP2" "FGF8"# Use only genes present in dataset for correlation
gene_list <- found_in_dataset
cat("\nFinal gene list for Spearman correlation:", length(gene_list), "\n")##
## Final gene list for Spearman correlation: 927# Sanity check - check that missing genes against the manual rescue to see if any are those specifically rescued
manual_rescued_genes <- manual_rescue_valid$human_gene
missing_but_rescued <- missing_in_dataset[missing_in_dataset %in% manual_rescued_genes]
cat("Manually rescued genes missing from Steatosite:",
length(missing_but_rescued), "\n")## Manually rescued genes missing from Steatosite: 11if (length(missing_but_rescued) > 0) print(missing_but_rescued)## [1] "DEFB4A" "MMP10" "IGLL1" "CCL1" "MUCL1" "AMY1A" "LCN1" "HLA-A"
## [9] "CCL25" "CST9" "GPX5"# All 11 missing_but_rescued are biologically justified upon inspection
# ── Create Ssec_Steatosite: Ssec candidates testable in Steatosite ────────────
gene_list <- found_in_dataset
Ssec_Steatosite <- Ssec_human_unique %>%
dplyr::filter(human_gene %in% gene_list) %>%
dplyr::arrange(desc(mean_rho))
cat("\nFinal gene list for Spearman correlation:", nrow(Ssec_Steatosite), "\n")##
## Final gene list for Spearman correlation: 927print(head(as.data.frame(Ssec_Steatosite), 20))## Gene_symbol median_rho mean_rho sig_count rho_count_25 rho_count_50
## 1 Chgb 0.3746260 0.3704266 3 3 0
## 2 Tnc 0.3388637 0.3684555 3 3 0
## 3 Chil3 0.3606478 0.3620728 5 5 0
## 4 Shh 0.3535674 0.3579379 9 9 0
## 5 Scg3 0.3441316 0.3558013 9 9 0
## 6 Col4a4 0.3437700 0.3543268 3 3 0
## 7 Ccl17 0.3571006 0.3536655 5 5 0
## 8 Eppin 0.3493276 0.3514805 5 5 0
## 9 Pnliprp2 0.3479180 0.3479180 2 2 0
## 10 Cemip 0.3454242 0.3452576 5 5 0
## 11 Sftpd 0.3451174 0.3451898 3 3 0
## 12 Wnt10b 0.3397444 0.3438516 6 6 0
## 13 Adamts5 0.3448990 0.3023064 13 13 0
## 14 Mcpt8 0.3535509 0.3019656 13 13 0
## 15 Fbln2 0.3471107 0.2987286 13 13 0
## 16 Mmp8 0.3425382 0.2944760 11 11 0
## 17 Ghrl 0.3729252 0.2891859 9 9 0
## 18 Col5a2 0.3412713 0.2840025 10 10 0
## 19 Gpx7 0.3473499 0.2822212 9 9 0
## 20 St3gal2 0.3502649 0.2802045 18 18 0
## human_gene
## 1 CHGB
## 2 TNC
## 3 CHIA
## 4 SHH
## 5 SCG3
## 6 COL4A4
## 7 CCL17
## 8 EPPIN
## 9 PNLIPRP2
## 10 CEMIP
## 11 SFTPD
## 12 WNT10B
## 13 ADAMTS5
## 14 CMA1
## 15 FBLN2
## 16 MMP8
## 17 GHRL
## 18 COL5A2
## 19 GPX7
## 20 ST3GAL2Spearman correlation analyses
# ── Run Spearman correlations against pathology scores ────────────────────────
results <- lapply(seq_along(gene_list), function(i) {
gene <- gene_list[i]
if (i %% 100 == 0) cat("Processing gene", i, "of", length(gene_list), "\n")
gene_data <- data.frame(
sample_alias = cases_norm_counts_Fstage$headerCaseCode,
norm_count = cases_norm_counts_Fstage[[gene]]
)
df <- merge(gene_data, lookup_cases, by = "sample_alias")
cor_fibrosis <- cor.test(df$norm_count, df$fibrosis_score_full,
method = "spearman")
cor_saf <- cor.test(df$norm_count, df$saf_inflammation_score,
method = "spearman")
cor_nas <- cor.test(df$norm_count, df$nafld_activity_score_lobular_inflammation,
method = "spearman")
data.frame(
human_gene = gene,
mouse_gene = Ssec_Steatosite$Gene_symbol[
Ssec_Steatosite$human_gene == gene][1],
Ssec_mean_rho = Ssec_Steatosite$mean_rho[
Ssec_Steatosite$human_gene == gene][1],
Ssec_median_rho = Ssec_Steatosite$median_rho[
Ssec_Steatosite$human_gene == gene][1],
Ssec_sig_count = Ssec_Steatosite$sig_count[
Ssec_Steatosite$human_gene == gene][1],
n = nrow(df),
fibrosis_rho = round(cor_fibrosis$estimate, 3),
fibrosis_p = signif(cor_fibrosis$p.value, 3),
saf_rho = round(cor_saf$estimate, 3),
saf_p = signif(cor_saf$p.value, 3),
nas_lobular_rho = round(cor_nas$estimate, 3),
nas_lobular_p = signif(cor_nas$p.value, 3)
)
})## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 100 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 200 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 300 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 400 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 500 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 600 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 700 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 800 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Processing gene 900 of 927## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties## Warning in cor.test.default(df$norm_count, df$fibrosis_score_full, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count, df$saf_inflammation_score, method =
## "spearman"): Cannot compute exact p-value with ties## Warning in cor.test.default(df$norm_count,
## df$nafld_activity_score_lobular_inflammation, : Cannot compute exact p-value
## with ties# ── Combine and apply FDR correction ──────────────────────────────────────────
results_table <- do.call(rbind, results)
rownames(results_table) <- NULL
results_table$fibrosis_p_adj <- p.adjust(results_table$fibrosis_p, method = "BH")
results_table$saf_p_adj <- p.adjust(results_table$saf_p, method = "BH")
results_table$nas_lobular_p_adj <- p.adjust(results_table$nas_lobular_p, method = "BH")
# ── Select and order columns, sort by fibrosis rho ────────────────────────────
Ssec_Steatosite_correlations <- results_table %>%
dplyr::select(
human_gene,
mouse_gene,
Ssec_mean_rho,
Ssec_median_rho,
Ssec_sig_count,
n,
fibrosis_rho,
fibrosis_p,
fibrosis_p_adj,
saf_rho,
saf_p,
saf_p_adj,
nas_lobular_rho,
nas_lobular_p,
nas_lobular_p_adj
) %>%
dplyr::arrange(desc(fibrosis_rho))
# ── Summary ───────────────────────────────────────────────────────────────────
cat("\nTop 20 genes by fibrosis rho:\n")##
## Top 20 genes by fibrosis rho:print(head(as.data.frame(Ssec_Steatosite_correlations), 20))## human_gene mouse_gene Ssec_mean_rho Ssec_median_rho Ssec_sig_count n
## 1 ITGBL1 Itgbl1 -0.085585830 -0.345902288 8 578
## 2 EPHA3 Epha3 -0.049992351 -0.333051043 7 578
## 3 FBLN5 Fbln5 0.272765553 0.354535274 31 578
## 4 SVEP1 Svep1 -0.128657549 -0.353966321 3 578
## 5 LTBP2 Ltbp2 0.052374547 0.334134725 9 578
## 6 AEBP1 Aebp1 -0.109692671 -0.337052072 9 578
## 7 EFEMP1 Efemp1 0.047536527 0.341555937 29 578
## 8 LAMA2 Lama2 -0.017879955 -0.332584443 23 578
## 9 DKK3 Dkk3 -0.123734780 -0.343101505 59 578
## 10 LUM Lum 0.090634034 0.344510584 254 578
## 11 IGFBP7 Igfbp7 0.131809855 0.349560294 353 578
## 12 LAMC3 Lamc3 0.032834746 0.340189951 7 578
## 13 PTGDS Ptgds 0.033852240 0.342849544 31 578
## 14 DCN Dcn 0.127892526 0.352029675 312 578
## 15 COL4A4 Col4a4 0.354326842 0.343770013 3 578
## 16 FAP Fap 0.146790082 0.348984270 3 578
## 17 MMP2 Mmp2 0.145626938 0.347956327 49 578
## 18 PAPLN Papln 0.089064542 0.337728692 11 578
## 19 MFAP4 Mfap4 -0.009665752 -0.005200186 10 578
## 20 GSN Gsn -0.015549953 -0.332698768 36 578
## fibrosis_rho fibrosis_p fibrosis_p_adj saf_rho saf_p saf_p_adj
## 1 0.789 5.96e-124 5.524920e-121 0.237 8.00e-09 1.426154e-07
## 2 0.762 1.42e-110 6.581700e-108 0.245 2.38e-09 5.494171e-08
## 3 0.753 1.03e-106 3.182700e-104 0.231 1.81e-08 2.811393e-07
## 4 0.749 4.95e-105 1.147162e-102 0.224 5.44e-08 6.908055e-07
## 5 0.745 1.56e-103 2.892240e-101 0.254 6.26e-10 1.568384e-08
## 6 0.742 4.14e-102 6.396300e-100 0.254 5.64e-10 1.452300e-08
## 7 0.737 3.68e-100 4.873371e-98 0.209 3.99e-07 4.251414e-06
## 8 0.737 5.91e-100 6.848212e-98 0.260 2.27e-10 7.014300e-09
## 9 0.736 8.25e-100 8.497500e-98 0.204 7.96e-07 7.529510e-06
## 10 0.729 4.68e-97 4.338360e-95 0.231 1.84e-08 2.811393e-07
## 11 0.723 1.10e-94 9.270000e-93 0.238 7.43e-09 1.377522e-07
## 12 0.721 8.07e-94 6.234075e-92 0.261 1.96e-10 6.265241e-09
## 13 0.720 1.75e-93 1.247885e-91 0.226 3.82e-08 5.285284e-07
## 14 0.718 7.63e-93 5.052150e-91 0.243 3.25e-09 7.006395e-08
## 15 0.715 1.29e-91 7.972200e-90 0.175 2.25e-05 1.438448e-04
## 16 0.706 2.31e-88 1.338356e-86 0.235 1.09e-08 1.804339e-07
## 17 0.703 3.80e-87 2.072118e-85 0.206 5.76e-07 5.741419e-06
## 18 0.702 8.37e-87 4.310550e-85 0.225 4.66e-08 6.084254e-07
## 19 0.699 8.49e-86 3.935115e-84 0.241 4.55e-09 8.974149e-08
## 20 0.699 8.46e-86 3.935115e-84 0.188 5.34e-06 4.057525e-05
## nas_lobular_rho nas_lobular_p nas_lobular_p_adj
## 1 0.236 9.43e-09 1.748322e-07
## 2 0.238 6.83e-09 1.319044e-07
## 3 0.234 1.30e-08 2.231667e-07
## 4 0.220 9.00e-08 1.158750e-06
## 5 0.251 9.83e-10 2.360285e-08
## 6 0.256 4.57e-10 1.176775e-08
## 7 0.211 3.11e-07 3.352291e-06
## 8 0.260 2.31e-10 7.137900e-09
## 9 0.198 1.67e-06 1.460462e-05
## 10 0.233 1.51e-08 2.499589e-07
## 11 0.239 5.97e-09 1.177487e-07
## 12 0.256 3.94e-10 1.074229e-08
## 13 0.223 5.67e-08 7.844910e-07
## 14 0.241 4.47e-09 9.352400e-08
## 15 0.174 2.65e-05 1.717867e-04
## 16 0.233 1.39e-08 2.342782e-07
## 17 0.204 7.39e-07 7.135969e-06
## 18 0.222 7.31e-08 9.544183e-07
## 19 0.240 5.47e-09 1.102324e-07
## 20 0.180 1.39e-05 9.544667e-05cat("\nSignificant correlations (FDR < 0.05):\n")##
## Significant correlations (FDR < 0.05):cat(" Fibrosis: ", sum(Ssec_Steatosite_correlations$fibrosis_p_adj < 0.05), "/",
nrow(Ssec_Steatosite_correlations), "\n")## Fibrosis: 740 / 927cat(" SAF inflammation:", sum(Ssec_Steatosite_correlations$saf_p_adj < 0.05), "/",
nrow(Ssec_Steatosite_correlations), "\n")## SAF inflammation: 349 / 927cat(" NAS lobular: ", sum(Ssec_Steatosite_correlations$nas_lobular_p_adj < 0.05), "/",
nrow(Ssec_Steatosite_correlations), "\n")## NAS lobular: 351 / 927# ── Save ──────────────────────────────────────────────────────────────────────
save(Ssec_Steatosite,
Ssec_Steatosite_correlations,
file = "Ssec_Steatosite_results.RData")
write.csv(Ssec_Steatosite_correlations,
"Spearman_Ssec_vs_pathology_scores.csv",
row.names = FALSE)
cat("\nSaved", nrow(Ssec_Steatosite_correlations),
"genes to Spearman_Ssec_vs_pathology_scores.csv\n")##
## Saved 927 genes to Spearman_Ssec_vs_pathology_scores.csvCode for generating figures plotting Steatosite liver gene vs pathology scoring
library(patchwork)
gene <- "LUM" # replace with any gene from your gene_list
gene_data <- cases_norm_counts_Fstage[, c("headerCaseCode", gene)]
colnames(gene_data) <- c("sample_alias", "norm_count")
merged <- merge(gene_data, lookup_cases, by = "sample_alias")
# Add log2 transformed column for visualisation only
# +1 pseudocount prevents log2(0) = -Inf for zero-expressed genes
merged$log2_norm_count <- log2(merged$norm_count + 1)
cat("Samples in final correlation dataset:", nrow(merged), "\n")## Samples in final correlation dataset: 578cat("Missing pathology scores:", sum(is.na(merged$fibrosis_score_full)), "\n\n")## Missing pathology scores: 0# ── Run correlations on original CPM (Spearman is rank-based, scale doesn't matter) ──
cor_fibrosis <- cor.test(merged$norm_count, merged$fibrosis_score_full,
method = "spearman")## Warning in cor.test.default(merged$norm_count, merged$fibrosis_score_full, :
## Cannot compute exact p-value with tiescor_saf <- cor.test(merged$norm_count, merged$saf_inflammation_score,
method = "spearman")## Warning in cor.test.default(merged$norm_count, merged$saf_inflammation_score, :
## Cannot compute exact p-value with tiescor_nas <- cor.test(merged$norm_count,
merged$nafld_activity_score_lobular_inflammation,
method = "spearman")## Warning in cor.test.default(merged$norm_count,
## merged$nafld_activity_score_lobular_inflammation, : Cannot compute exact
## p-value with tiescat(gene, "vs Fibrosis Score: rho =", round(cor_fibrosis$estimate, 3),
" p =", signif(cor_fibrosis$p.value, 3), "\n")## LUM vs Fibrosis Score: rho = 0.729 p = 4.68e-97cat(gene, "vs SAF Inflammation: rho =", round(cor_saf$estimate, 3),
" p =", signif(cor_saf$p.value, 3), "\n")## LUM vs SAF Inflammation: rho = 0.231 p = 1.84e-08cat(gene, "vs NAS Lobular Inflam: rho =", round(cor_nas$estimate, 3),
" p =", signif(cor_nas$p.value, 3), "\n\n")## LUM vs NAS Lobular Inflam: rho = 0.233 p = 1.51e-08# ── Pull Ssec scores for plot titles ─────────────────────────────────────────
ssec_row <- Ssec_Steatosite_correlations[
Ssec_Steatosite_correlations$human_gene == gene, ]
ssec_subtitle <- paste0("Ssec mean rho = ", round(ssec_row$Ssec_mean_rho, 3),
" | median rho = ", round(ssec_row$Ssec_median_rho, 3),
" | sig count = ", ssec_row$Ssec_sig_count)
# ── Visualisation (log2 CPM+1 for display, correlations run on raw CPM) ──────
p1 <- ggplot(merged, aes(x = factor(fibrosis_score_full), y = log2_norm_count)) +
geom_boxplot(outlier.shape = NA, fill = "steelblue", alpha = 0.5) +
geom_jitter(width = 0.2, alpha = 0.3, colour = "steelblue") +
labs(title = paste(gene, "vs Fibrosis Score (CRN)"),
subtitle = paste0("rho = ", round(cor_fibrosis$estimate, 3),
", p = ", signif(cor_fibrosis$p.value, 3),
", n = ", nrow(merged),
"\n", ssec_subtitle),
x = "Fibrosis Score (CRN)",
y = paste(gene, "log2CPM")) +
theme_bw() +
theme(panel.border = element_blank(), axis.line = element_line())
p2 <- ggplot(merged, aes(x = factor(saf_inflammation_score), y = log2_norm_count)) +
geom_boxplot(outlier.shape = NA, fill = "darkorange", alpha = 0.5) +
geom_jitter(width = 0.2, alpha = 0.3, colour = "darkorange") +
labs(title = paste(gene, "vs SAF Inflammation Score"),
subtitle = paste0("rho = ", round(cor_saf$estimate, 3),
", p = ", signif(cor_saf$p.value, 3),
", n = ", nrow(merged),
"\n", ssec_subtitle),
x = "SAF Inflammation Score",
y = paste(gene, "log2CPM")) +
theme_bw() +
theme(panel.border = element_blank(), axis.line = element_line())
p3 <- ggplot(merged, aes(x = factor(nafld_activity_score_lobular_inflammation),
y = log2_norm_count)) +
geom_boxplot(outlier.shape = NA, fill = "forestgreen", alpha = 0.5) +
geom_jitter(width = 0.2, alpha = 0.3, colour = "forestgreen") +
labs(title = paste(gene, "vs NAS Lobular Inflammation"),
subtitle = paste0("rho = ", round(cor_nas$estimate, 3),
", p = ", signif(cor_nas$p.value, 3),
", n = ", nrow(merged),
"\n", ssec_subtitle),
x = "NAS Lobular Inflammation Score",
y = paste(gene, "log2CPM")) +
theme_bw() +
theme(panel.border = element_blank(), axis.line = element_line())
p1
p2
p3
Identify the genes overlapping with the MASH vs MASL SPEA plasma proteomics analysis
Link to the de Nardo et al., 2025 paper
The authors carried out ‘standard’ as well as small protein enrichment analysis proteomics.
# ── MASH vs MASL proteomics data ─────────────────────────────────────────
# Load and extract human gene symbols directly (already human proteins)
mash_vs_masl <- read.csv("UP_MASH_vs_MASL.csv")
mash_vs_masl_human <- unique(toupper(mash_vs_masl$Protein))
# ── Ssec Steatosite candidates (already human symbols) ───────────────────
ssec_steatosite_human <- unique(toupper(Ssec_Steatosite_correlations$human_gene))
# ── Overlap analysis ──────────────────────────────────────────────────────
Ssec_Steato_overlap <- intersect(mash_vs_masl_human, ssec_steatosite_human)
masl_only <- setdiff(mash_vs_masl_human, ssec_steatosite_human)
ssec_only <- setdiff(ssec_steatosite_human, mash_vs_masl_human)
cat("MASH vs MASL proteomics genes: ", length(mash_vs_masl_human), "\n")## MASH vs MASL proteomics genes: 97cat("Ssec Steatosite candidates: ", length(ssec_steatosite_human), "\n")## Ssec Steatosite candidates: 927cat("Overlapping genes: ", length(Ssec_Steato_overlap), "\n")## Overlapping genes: 43cat("MASH vs MASL only: ", length(masl_only), "\n")## MASH vs MASL only: 54cat("Ssec Steatosite only: ", length(ssec_only), "\n")## Ssec Steatosite only: 884cat("\nOverlapping genes:\n")##
## Overlapping genes:print(Ssec_Steato_overlap)## [1] "SERPING1" "AGT" "IGFALS" "HRG" "CLU" "ORM1"
## [7] "AZGP1" "APCS" "AFM" "ORM2" "RBP4" "LUM"
## [13] "CFD" "CLEC3B" "SERPINC1" "LCAT" "APOM" "APOH"
## [19] "ANG" "HPX" "RNASE4" "PF4" "CST3" "AMBP"
## [25] "CSF1" "APOD" "A2M" "CCL5" "ITIH2" "S100A9"
## [31] "LBP" "SOD3" "PGLYRP2" "CRP" "PPBP" "C3"
## [37] "COL1A1" "LYZ" "COL6A3" "PROS1" "APOA4" "SPON1"
## [43] "TTR"# ── Pull full details for overlapping genes ───────────────────────────────
# Get correlation results for the overlapping genes
Ssec_Steato_overlap_info <- Ssec_Steatosite_correlations %>%
dplyr::filter(toupper(human_gene) %in% Ssec_Steato_overlap) %>%
dplyr::arrange(desc(Ssec_median_rho))
cat("\nFull Ssec Steatosite details for overlapping genes:\n")##
## Full Ssec Steatosite details for overlapping genes:print(as.data.frame(Ssec_Steato_overlap_info))## human_gene mouse_gene Ssec_mean_rho Ssec_median_rho Ssec_sig_count n
## 1 S100A9 S100a9 0.241699158 0.3548004410 62 578
## 2 CCL5 Ccl5 0.227444695 0.3537166194 42 578
## 3 LBP Lbp 0.196785577 0.3504549272 88 578
## 4 APOA4 Apoa4 0.077769993 0.3482292833 368 578
## 5 COL1A1 Col1a1 0.137320440 0.3452559674 29 578
## 6 CFD Cfd 0.075567967 0.3448956453 5 578
## 7 LUM Lum 0.090634034 0.3445105841 254 578
## 8 CLU Clu 0.124669351 0.3436392205 157 578
## 9 LCAT Lcat 0.072090802 0.3409470284 276 578
## 10 PROS1 Pros1 0.076265666 0.3404675252 229 578
## 11 SOD3 Sod3 0.035455842 0.3395448612 363 578
## 12 ITIH2 Itih2 0.048388717 0.3389780686 53 578
## 13 CSF1 Csf1 0.022958968 0.3388893361 17 578
## 14 AMBP Ambp 0.089789335 0.3369635209 40 578
## 15 APCS Apcs 0.005247938 0.3368561030 62 578
## 16 AFM Afm 0.011635461 0.3349384099 499 578
## 17 CST3 Cst3 0.045739677 0.3346514558 38 578
## 18 LYZ Lyz2 0.030244779 0.3341697024 39 578
## 19 RNASE4 Rnase4 0.018110991 0.3338629190 75 578
## 20 ANG Ang2 0.069292503 0.3334628131 15 578
## 21 SERPING1 Serping1 0.028996704 0.3333123364 97 578
## 22 PPBP Ppbp -0.001101831 0.0051477304 28 578
## 23 CLEC3B Clec3b -0.003306994 -0.0003114523 6 578
## 24 APOD Apod -0.009376039 -0.0052737485 8 578
## 25 AGT Agt -0.027408339 -0.3328690710 13 578
## 26 ORM1 Orm2 -0.050223281 -0.3330907055 41 578
## 27 ORM2 Orm2 -0.050223281 -0.3330907055 41 578
## 28 COL6A3 Col6a3 -0.032401960 -0.3331735245 54 578
## 29 AZGP1 Azgp1 -0.021868714 -0.3350854602 34 578
## 30 RBP4 Rbp4 -0.060280270 -0.3352522671 61 578
## 31 A2M A2m -0.026000935 -0.3355170145 26 578
## 32 SPON1 Spon1 -0.077639393 -0.3364746971 5 578
## 33 APOM Apom -0.033655059 -0.3366986636 91 578
## 34 CRP Crp -0.101208013 -0.3383037395 20 578
## 35 C3 C3 -0.069005259 -0.3384635843 27 578
## 36 PF4 Pf4 -0.087662586 -0.3396183497 42 578
## 37 HPX Hpx -0.180319191 -0.3401129627 21 578
## 38 IGFALS Igfals -0.077523292 -0.3403917287 247 578
## 39 TTR Ttr -0.081069765 -0.3408886509 102 578
## 40 PGLYRP2 Pglyrp2 -0.083887837 -0.3413715754 123 578
## 41 HRG Hrg -0.112917350 -0.3415069447 65 578
## 42 SERPINC1 Serpinc1 -0.083388128 -0.3418277004 146 578
## 43 APOH Apoh -0.099884637 -0.3482679340 25 578
## fibrosis_rho fibrosis_p fibrosis_p_adj saf_rho saf_p saf_p_adj
## 1 0.020 6.23e-01 6.577688e-01 0.027 5.24e-01 6.599837e-01
## 2 0.411 6.37e-25 2.178963e-24 0.268 5.58e-11 2.248983e-09
## 3 -0.141 6.63e-04 9.603141e-04 0.004 9.19e-01 9.560987e-01
## 4 -0.067 1.07e-01 1.278209e-01 0.116 5.39e-03 1.654480e-02
## 5 0.600 9.24e-58 1.173353e-56 0.370 3.78e-20 3.012750e-17
## 6 -0.171 3.45e-05 5.384091e-05 -0.002 9.57e-01 9.726900e-01
## 7 0.729 4.68e-97 4.338360e-95 0.231 1.84e-08 2.811393e-07
## 8 -0.302 1.16e-13 2.616350e-13 0.051 2.22e-01 3.529914e-01
## 9 -0.516 1.48e-40 9.146400e-40 -0.067 1.07e-01 1.933509e-01
## 10 -0.225 4.55e-08 8.174128e-08 -0.027 5.21e-01 6.579932e-01
## 11 0.693 7.03e-84 2.833396e-82 0.160 1.15e-04 6.057102e-04
## 12 -0.260 2.32e-10 4.625032e-10 0.018 6.67e-01 7.738536e-01
## 13 0.317 6.43e-15 1.505205e-14 0.171 3.70e-05 2.222423e-04
## 14 -0.435 4.93e-28 1.880704e-27 -0.071 8.74e-02 1.653465e-01
## 15 -0.446 1.25e-29 5.104626e-29 -0.121 3.52e-03 1.140178e-02
## 16 -0.442 4.93e-29 1.936487e-28 0.028 4.99e-01 6.389130e-01
## 17 -0.031 4.59e-01 4.970713e-01 0.169 4.39e-05 2.575652e-04
## 18 0.459 1.88e-31 8.220566e-31 0.290 1.11e-12 8.574750e-11
## 19 -0.168 4.76e-05 7.366477e-05 0.093 2.46e-02 6.130161e-02
## 20 -0.403 6.20e-24 2.030883e-23 -0.062 1.39e-01 2.408467e-01
## 21 -0.210 3.50e-07 6.053172e-07 -0.003 9.49e-01 9.688119e-01
## 22 -0.169 4.40e-05 6.832161e-05 -0.038 3.65e-01 5.095708e-01
## 23 -0.213 2.23e-07 3.893051e-07 0.059 1.58e-01 2.672737e-01
## 24 0.317 6.33e-15 1.485547e-14 -0.003 9.40e-01 9.649834e-01
## 25 -0.325 1.02e-15 2.455948e-15 -0.031 4.53e-01 5.939618e-01
## 26 -0.328 5.22e-16 1.283538e-15 -0.080 5.33e-02 1.130178e-01
## 27 -0.401 1.03e-23 3.315313e-23 -0.058 1.64e-01 2.744188e-01
## 28 0.642 1.40e-68 2.884000e-67 0.232 1.65e-08 2.637155e-07
## 29 -0.535 4.63e-44 3.251523e-43 -0.122 3.21e-03 1.066548e-02
## 30 -0.380 2.61e-21 7.729936e-21 0.004 9.17e-01 9.560987e-01
## 31 0.339 5.68e-17 1.446527e-16 0.036 3.84e-01 5.281424e-01
## 32 0.663 1.42e-74 3.871588e-73 0.152 2.48e-04 1.197375e-03
## 33 -0.457 3.14e-31 1.353851e-30 -0.065 1.21e-01 2.136514e-01
## 34 0.005 8.97e-01 9.107547e-01 -0.004 9.31e-01 9.621371e-01
## 35 -0.320 3.02e-15 7.159949e-15 -0.007 8.74e-01 9.248836e-01
## 36 -0.163 8.02e-05 1.230884e-04 -0.011 7.88e-01 8.583737e-01
## 37 -0.422 2.16e-26 7.791128e-26 -0.063 1.28e-01 2.247273e-01
## 38 -0.606 3.36e-59 4.449600e-58 -0.082 4.96e-02 1.069284e-01
## 39 -0.463 4.11e-32 1.858522e-31 -0.033 4.29e-01 5.705638e-01
## 40 -0.238 6.59e-09 1.236626e-08 -0.038 3.56e-01 5.015380e-01
## 41 -0.136 1.08e-03 1.542619e-03 0.082 4.86e-02 1.061915e-01
## 42 -0.397 3.12e-23 9.871126e-23 -0.092 2.73e-02 6.695000e-02
## 43 -0.307 4.09e-14 9.361556e-14 -0.019 6.45e-01 7.578137e-01
## nas_lobular_rho nas_lobular_p nas_lobular_p_adj
## 1 0.042 3.17e-01 4.620425e-01
## 2 0.277 1.32e-11 6.257250e-10
## 3 0.011 7.99e-01 8.775746e-01
## 4 0.121 3.61e-03 1.208112e-02
## 5 0.366 1.02e-19 4.727700e-17
## 6 -0.003 9.39e-01 9.693241e-01
## 7 0.233 1.51e-08 2.499589e-07
## 8 0.053 2.03e-01 3.313046e-01
## 9 -0.065 1.17e-01 2.114211e-01
## 10 -0.024 5.59e-01 6.872586e-01
## 11 0.166 6.07e-05 3.494963e-04
## 12 0.021 6.22e-01 7.380573e-01
## 13 0.172 3.22e-05 2.023115e-04
## 14 -0.076 6.81e-02 1.372363e-01
## 15 -0.128 2.10e-03 7.545349e-03
## 16 0.019 6.42e-01 7.542890e-01
## 17 0.172 3.38e-05 2.088840e-04
## 18 0.296 3.63e-13 3.059100e-11
## 19 0.102 1.38e-02 3.773628e-02
## 20 -0.065 1.18e-01 2.124000e-01
## 21 0.006 8.76e-01 9.280594e-01
## 22 -0.030 4.65e-01 6.003552e-01
## 23 0.054 1.97e-01 3.243677e-01
## 24 -0.001 9.77e-01 9.875882e-01
## 25 -0.028 4.99e-01 6.371529e-01
## 26 -0.075 7.29e-02 1.447073e-01
## 27 -0.058 1.64e-01 2.774234e-01
## 28 0.232 1.56e-08 2.537053e-07
## 29 -0.119 4.30e-03 1.379273e-02
## 30 0.005 9.10e-01 9.488976e-01
## 31 0.032 4.44e-01 5.797014e-01
## 32 0.158 1.35e-04 7.151143e-04
## 33 -0.069 9.83e-02 1.852116e-01
## 34 -0.001 9.78e-01 9.875882e-01
## 35 -0.005 8.96e-01 9.417143e-01
## 36 -0.012 7.82e-01 8.640215e-01
## 37 -0.064 1.24e-01 2.202069e-01
## 38 -0.077 6.46e-02 1.313250e-01
## 39 -0.033 4.22e-01 5.628691e-01
## 40 -0.046 2.65e-01 4.053713e-01
## 41 0.084 4.44e-02 9.870216e-02
## 42 -0.089 3.28e-02 7.639598e-02
## 43 -0.018 6.69e-01 7.790992e-01Generate a venn diagram of the overlapping genes of the MASH vs MASL proteome and the Ssec_Steatosite gene list
library(VennDiagram)## Warning: package 'VennDiagram' was built under R version 4.4.3## Loading required package: grid## Loading required package: futile.logger## Warning: package 'futile.logger' was built under R version 4.4.3library(grid)
setA <- mash_vs_masl_human # MASH vs MASL plasma proteome
setB <- ssec_steatosite_human # HMDP
# Red vs blue
fills <- c("#E41A1C", "#0072B2") # HMDP = red, MASH vs MASL = blue
cat_cols <- c("#9E0D0D", "#0B4F7A") # darker label colours
venn_grob <- VennDiagram::venn.diagram(
x = list(
"HMDP liver-heart \nsecretory genes" = setB,
"MASH vs MASLD\nplasma proteome" = setA
),
filename = NULL,
fill = fills,
alpha = 0.6,
lty = "blank",
cex = 3, # region counts
label.col = "white", # white numbers
fontface = "bold",
cat.cex = 2,
cat.fontface = "bold",
cat.col = cat_cols,
# Nudge the right label (2nd) to the right
cat.pos = c(-10, 5), # smaller angle for the right label -> more to the right
cat.dist = c(0.05, 0.06), # tiny outward shift for right label
# Optional: justify labels outward (left label right-justified, right label left-justified)
cat.just = list(c(1, 0.5), c(0, 0.5)),
ext.text = FALSE, # keep counts inside the regions
margin = 0.05
)
# Draw into a square viewport to keep circles round
grid.newpage()
pushViewport(viewport(width = unit(1, "snpc"), height = unit(1, "snpc")))
grid.draw(venn_grob)
popViewport()
# ── Save as PNG ───────────────────────────────────────────────────────────────
png("venn_hmdp_mash.png", width = 3300, height = 2400, res = 300, bg = "white")
grid.newpage()
pushViewport(viewport(width = unit(1, "snpc"), height = unit(1, "snpc")))
grid.draw(venn_grob)
popViewport()
dev.off()## png
## 2Comparison to Schuermans et al., Nat Cardio Res 2024 UK Biobank analysis of OLINK plasma proteomics and CV outcomes
Olink proteomics measures 1,472 protein analytes across four different panels (the Cardiometabolic, Inflammation, Neurology and Oncology panels) representing 1,463 unique proteins.For each assay and each sample, normalized protein expression values are calculated as the log2-transformed ratio of sequence read counts to the counts of the extension control, corrected for plate and batch effects.For proteins that were measured by multiple panels (TNF, IL-6 and CXCL8), data was only evaluated from the panel with the highest detectability per protein and, if necessary, the largest number of protein measurements exceeding the respective limit of detection (the Cardiometabolic panel for TNF and Oncology panel for IL-6 and CXCL8). Proteins with >10% missingness in the final study cohort were also excluded. The remaining 1,459 protein markers underwent z-score transformation before analysis.
Proteomic association analyses
Primary analyses tested the associations of circulating protein levels with incident cardiac events using Cox proportional hazards models adjusted for age, age², sex, self-reported race/ethnicity, the first ten principal components of genetic ancestry, smoking, normalized Townsend deprivation index, BMI, systolic blood pressure, antihypertensive medication use, total cholesterol, HDL cholesterol, cholesterol-lowering medication use, serum creatinine (as a measure of kidney function) and prevalent type 2 diabetes.
In addition, to increase the specificity of the detected protein associations for a given disease (for example, coronary artery disease), they included the other cardiac outcomes (for example, heart failure, atrial fibrillation and aortic stenosis) as time-varying covariates using the tmerge() function in R (survival package)49. Bonferroni-corrected P < 0.05/5,836 (P < 0.05/(1,459 tested proteins × 4 tested outcomes) or ~8.6 × 10−6) indicated statistical significance for the primary analyses. To illustrate the distributions of the most strongly associated proteins in individuals who experienced incident events versus those who did not, they constructed probability density functions showing the distributions of the strongest protein–disease associations in cases versus controls for each outcome using the ggplot2 package in R.
Importantly, this first-line of analysis only identifies apparent associations, there is no clear evidence of causality. They attempted to infer this later on using a Mendelian randomisation (MR)-based approach. Notably, the MR approach, which relies on genetic variants that reliably and specifically influence circulating levels of a particular protein (cis-pQTLs, SNPs) drastically reduces the length of this list. I need to look further into the rationale of carrying out this step to better understand it.
# ── OLINK CV Plasma Proteins vs HMDP Human Orthologs ─────────────────────
# Load and extract unique human gene symbols from Olink (deduplicate across outcomes)
Olink_CV <- read.csv("OLINK_CV-outcome_Schuermans.csv")
olink_human <- unique(toupper(Olink_CV$Protein))
# After deduplication there were 1459 proteins - the correct number for the UK Biobank
# ── Overlap analysis ──────────────────────────────────────────────────────
Olink_Ssec_overlap <- intersect(olink_human, ssec_steatosite_human)
olink_only <- setdiff(olink_human, ssec_steatosite_human)
ssec_only <- setdiff(ssec_steatosite_human, olink_human)
cat("Olink CV unique proteins: ", length(olink_human), "\n")## Olink CV unique proteins: 1459cat("Ssec Steatosite candidates: ", length(ssec_steatosite_human), "\n")## Ssec Steatosite candidates: 927cat("Overlapping genes: ", length(Olink_Ssec_overlap), "\n")## Overlapping genes: 337cat("Olink only: ", length(olink_only), "\n")## Olink only: 1122cat("Ssec Steatosite only: ", length(ssec_only), "\n")## Ssec Steatosite only: 590cat("\nOverlapping genes:\n")##
## Overlapping genes:print(Olink_Ssec_overlap)## [1] "ACAN" "ACE2" "ADAM23" "ADAMTS15" "ADAMTS8" "ADM"
## [7] "AFP" "AGR2" "AGRN" "AMBP" "ANG" "ANGPT1"
## [13] "ANGPT2" "ANGPTL1" "ANGPTL2" "ANGPTL3" "ANGPTL4" "ANGPTL7"
## [19] "AOC1" "APOH" "APOM" "ARTN" "ASAH2" "B4GALT1"
## [25] "BCAN" "BGN" "BMP4" "BMP6" "BPIFB1" "BTC"
## [31] "C1QA" "C1QTNF1" "C2" "CALCA" "CANT1" "CAPG"
## [37] "CCDC80" "CCL11" "CCL15" "CCL17" "CCL18" "CCL19"
## [43] "CCL2" "CCL20" "CCL21" "CCL22" "CCL23" "CCL24"
## [49] "CCL28" "CCL3" "CCL4" "CCL5" "CCL8" "CD14"
## [55] "CD163" "CD40" "CD40LG" "CD46" "CDSN" "CEACAM1"
## [61] "CGREF1" "CHGB" "CHI3L1" "CHL1" "CHRDL1" "CHRDL2"
## [67] "CLEC11A" "CNPY2" "CNTN4" "COL18A1" "COL1A1" "COL4A1"
## [73] "COL6A3" "COL9A1" "COMP" "CPA1" "CPA2" "CPE"
## [79] "CPXM1" "CREG1" "CRELD2" "CRLF1" "CRTAC1" "CSF1"
## [85] "CST3" "CST7" "CTF1" "CTRB1" "CTSB" "CTSD"
## [91] "CTSL" "CX3CL1" "CXADR" "CXCL1" "CXCL10" "CXCL11"
## [97] "CXCL12" "CXCL13" "CXCL14" "CXCL16" "CXCL6" "CXCL9"
## [103] "DAG1" "DCN" "DKK3" "DKKL1" "DPP4" "DPP7"
## [109] "DPT" "EDIL3" "EFEMP1" "EFNA1" "EGFL7" "ENPP2"
## [115] "ENPP5" "ENTPD5" "EPHB6" "EREG" "ESM1" "F7"
## [121] "F9" "FAM3B" "FAM3C" "FAP" "FASLG" "FETUB"
## [127] "FGF19" "FGF2" "FGF21" "FGF23" "FGF5" "FOLR1"
## [133] "FRZB" "FST" "FSTL3" "GALNT2" "GAS6" "GDF15"
## [139] "GDF2" "GDNF" "GFOD2" "GGH" "GHRL" "GKN1"
## [145] "GP2" "GPC1" "GRN" "GZMA" "HBEGF" "HSP90B1"
## [151] "HSPG2" "HYAL1" "ICAM4" "IFNG" "IGFBP1" "IGFBP2"
## [157] "IGFBP3" "IGFBP4" "IGFBP6" "IGFBP7" "IGFBPL1" "IL10"
## [163] "IL15" "IL15RA" "IL16" "IL17RB" "IL18" "IL18BP"
## [169] "IL1B" "IL1R1" "IL1R2" "IL1RAP" "IL1RL1" "IL1RN"
## [175] "IL2" "IL33" "IL34" "IL6" "IL7" "INHBC"
## [181] "ITIH3" "JCHAIN" "KAZALD1" "KDR" "KLK11" "LAMA4"
## [187] "LBP" "LCN2" "LEP" "LEPR" "LGALS1" "LGALS3"
## [193] "LIF" "LIFR" "LPL" "LTA" "LTBP2" "LTBP3"
## [199] "LY96" "MANF" "MASP1" "MATN2" "MATN3" "MDK"
## [205] "MEPE" "MFAP5" "MFGE8" "MIA" "MIF" "MMP1"
## [211] "MMP12" "MMP7" "MMP8" "MMP9" "MSLN" "MUC13"
## [217] "MYOC" "NAMPT" "NBL1" "NCAN" "NELL2" "NGF"
## [223] "NID1" "NID2" "NPTN" "NRCAM" "NRTN" "NTF3"
## [229] "NUCB2" "OGN" "OLR1" "OMD" "P4HB" "PAPPA"
## [235] "PDGFA" "PDGFB" "PDGFC" "PGF" "PIGR" "PLA2G15"
## [241] "PLA2G2A" "PLA2G7" "PLAT" "PLAU" "PLAUR" "PLTP"
## [247] "PM20D1" "PNLIPRP2" "PON3" "PRELP" "PROC" "PRSS2"
## [253] "PRSS8" "PSPN" "PTGDS" "PTN" "PTX3" "QPCT"
## [259] "RARRES2" "REG1A" "REG4" "REN" "ROBO1" "RSPO1"
## [265] "RTBDN" "SCG2" "SCG3" "SCGN" "SDC1" "SDC4"
## [271] "SEMA3F" "SERPINA12" "SERPINB5" "SERPINE1" "SFRP1" "SFTPA1"
## [277] "SFTPA2" "SFTPD" "SIGLEC1" "SLIT2" "SMOC1" "SMOC2"
## [283] "SMPDL3A" "SORD" "SPARC" "SPARCL1" "SPINK1" "SPINT1"
## [289] "SPOCK1" "SPON1" "SPON2" "SPP1" "ST3GAL1" "ST6GAL1"
## [295] "STC1" "STC2" "TCN2" "TEK" "TFF1" "TFF2"
## [301] "TFF3" "TFPI" "TFPI2" "TGFA" "TGFB1" "TGFBI"
## [307] "TGFBR3" "THBS4" "THPO" "TIMP1" "TIMP3" "TIMP4"
## [313] "TINAGL1" "TNC" "TNF" "TNFRSF10B" "TNFRSF10C" "TNFRSF11B"
## [319] "TNFRSF19" "TNFRSF9" "TNFSF11" "TNFSF12" "TNFSF13" "TNFSF13B"
## [325] "TNFSF14" "TPSAB1" "TREM2" "TSLP" "VCAN" "VEGFA"
## [331] "VEGFC" "VWA1" "VWF" "WFDC2" "WFIKKN1" "WNT9A"
## [337] "XCL1"# ── Pull full details for overlapping genes ───────────────────────────────
# Retains all outcome rows (HF, CAD, AF) for each overlapping protein
Olink_Ssec_overlap_info <- Olink_CV %>%
dplyr::filter(toupper(Protein) %in% Olink_Ssec_overlap) %>%
dplyr::arrange(Protein, Outcome)
# Also pull Ssec Steatosite details for overlapping genes
Ssec_Olink_overlap_info <- Ssec_Steatosite_correlations %>%
dplyr::filter(toupper(human_gene) %in% Olink_Ssec_overlap) %>%
dplyr::arrange(desc(Ssec_median_rho))
cat("\nFull Olink CV details for overlapping genes:\n")##
## Full Olink CV details for overlapping genes:print(as.data.frame(Olink_Ssec_overlap_info))## Protein Outcome Sgn.beta..x..log10.P. Position Color
## 1 ACAN AS 0.031136559 2357588701 15
## 2 ACAN Afib -0.240881097 2357588701 15
## 3 ACAN CAD -1.406696122 2357588701 15
## 4 ACAN HF -0.240955204 2357588701 15
## 5 ACE2 AS 1.990585052 2849213153 23
## 6 ACE2 Afib 1.217665696 2849213153 23
## 7 ACE2 CAD 2.798156813 2849213153 23
## 8 ACE2 HF 6.262941976 2849213153 B
## 9 ADAM23 AS -0.171811422 455182947 2
## 10 ADAM23 Afib -0.155201792 455182947 2
## 11 ADAM23 CAD 0.019317929 455182947 2
## 12 ADAM23 HF 0.218940569 455182947 2
## 13 ADAMTS15 AS 3.170911303 1924714898 11
## 14 ADAMTS15 Afib 2.521570034 1924714898 11
## 15 ADAMTS15 CAD 3.510617777 1924714898 11
## 16 ADAMTS15 HF 6.089616207 1924714898 B
## 17 ADAMTS8 AS -2.648008714 1924671176 11
## 18 ADAMTS8 Afib -0.152003652 1924671176 11
## 19 ADAMTS8 CAD -5.859233492 1924671176 B
## 20 ADAMTS8 HF -2.307693227 1924671176 11
## 21 ADM AS 4.163587284 1804571326 A
## 22 ADM Afib 20.931075030 1804571326 A
## 23 ADM CAD 18.025184300 1804571326 A
## 24 ADM HF 24.271201290 1804571326 A
## 25 AFP AS -0.272244042 760047620 4
## 26 AFP Afib -0.363053798 760047620 4
## 27 AFP CAD -1.547091210 760047620 4
## 28 AFP HF 0.749726423 760047620 4
## 29 AGR2 AS 1.390463496 1240361160 7
## 30 AGR2 Afib 3.302910683 1240361160 7
## 31 AGR2 CAD 8.119223286 1240361160 A
## 32 AGR2 HF 8.518867960 1240361160 A
## 33 AGRN AS 3.107539630 1020120 1
## 34 AGRN Afib 3.102620040 1020120 1
## 35 AGRN CAD 12.234274720 1020120 A
## 36 AGRN HF 13.492979860 1020120 A
## 37 AMBP AS 4.480436313 1637953414 A
## 38 AMBP Afib 0.442137100 1637953414 9
## 39 AMBP CAD 6.871778595 1637953414 A
## 40 AMBP HF 11.600859670 1637953414 A
## 41 ANG AS 1.029649492 2183996480 14
## 42 ANG Afib 0.864953684 2183996480 14
## 43 ANG CAD 4.998085523 2183996480 A
## 44 ANG HF 5.891049230 2183996480 A
## 45 ANGPT1 AS -0.528199846 1488357887 8
## 46 ANGPT1 Afib -0.050811956 1488357887 8
## 47 ANGPT1 CAD 1.003669824 1488357887 8
## 48 ANGPT1 HF 0.864143410 1488357887 8
## 49 ANGPT2 AS 3.467967401 1387608037 8
## 50 ANGPT2 Afib 44.020720900 1387608037 A
## 51 ANGPT2 CAD 7.166980477 1387608037 A
## 52 ANGPT2 HF 20.367358340 1387608037 A
## 53 ANGPTL1 AS 0.298135598 178849535 1
## 54 ANGPTL1 Afib 5.130579099 178849535 A
## 55 ANGPTL1 CAD 0.310830793 178849535 1
## 56 ANGPTL1 HF 5.111188855 178849535 A
## 57 ANGPTL2 AS 0.108169245 1650980635 9
## 58 ANGPTL2 Afib -0.010569785 1650980635 9
## 59 ANGPTL2 CAD 0.901198883 1650980635 9
## 60 ANGPTL2 HF 3.333401307 1650980635 9
## 61 ANGPTL3 AS 2.259141066 62597520 1
## 62 ANGPTL3 Afib 4.176946485 62597520 A
## 63 ANGPTL3 CAD 2.382673422 62597520 1
## 64 ANGPTL3 HF 10.434882640 62597520 A
## 65 ANGPTL4 AS 0.177266558 2626868901 19
## 66 ANGPTL4 Afib 7.427734087 2626868901 A
## 67 ANGPTL4 CAD 6.947651150 2626868901 A
## 68 ANGPTL4 HF 17.208645710 2626868901 A
## 69 ANGPTL7 AS 0.938042810 11189355 1
## 70 ANGPTL7 Afib 0.811656182 11189355 1
## 71 ANGPTL7 CAD 0.568497974 11189355 1
## 72 ANGPTL7 HF 1.283548333 11189355 1
## 73 AOC1 AS 0.300375179 1374393976 7
## 74 AOC1 Afib -0.001301958 1374393976 7
## 75 AOC1 CAD -0.248557198 1374393976 7
## 76 AOC1 HF 0.052258204 1374393976 7
## 77 APOH AS 0.745076937 2523286653 17
## 78 APOH Afib -2.099150477 2523286653 17
## 79 APOH CAD 0.112586247 2523286653 17
## 80 APOH HF 0.072039853 2523286653 17
## 81 APOM AS -0.642609125 1084939559 6
## 82 APOM Afib -1.658386729 1084939559 6
## 83 APOM CAD -0.842039887 1084939559 6
## 84 APOM HF -0.107441421 1084939559 6
## 85 ARTN AS -0.979730274 43933320 1
## 86 ARTN Afib -0.145919599 43933320 1
## 87 ARTN CAD 1.274413578 43933320 1
## 88 ARTN HF -0.074151732 43933320 1
## 89 ASAH2 AS 0.035231566 1711186611 10
## 90 ASAH2 Afib -4.224949491 1711186611 B
## 91 ASAH2 CAD -0.017951705 1711186611 10
## 92 ASAH2 HF -0.820613375 1711186611 10
## 93 B4GALT1 AS 2.778107839 1556997369 9
## 94 B4GALT1 Afib 2.098059011 1556997369 9
## 95 B4GALT1 CAD 2.156628893 1556997369 9
## 96 B4GALT1 HF 13.857821370 1556997369 B
## 97 BCAN AS -1.364173452 156641390 1
## 98 BCAN Afib -10.048451130 156641390 A
## 99 BCAN CAD -5.725025982 156641390 A
## 100 BCAN HF -10.271103800 156641390 A
## 101 BGN AS 1.244343924 2987213567 23
## 102 BGN Afib 0.138380491 2987213567 23
## 103 BGN CAD -1.514941613 2987213567 23
## 104 BGN HF -0.588145190 2987213567 23
## 105 BMP4 AS 0.046999661 2217262039 14
## 106 BMP4 Afib 0.540260989 2217262039 14
## 107 BMP4 CAD -1.047614679 2217262039 14
## 108 BMP4 HF 0.009174390 2217262039 14
## 109 BMP6 AS 0.185748854 1061013242 6
## 110 BMP6 Afib 2.487091747 1061013242 6
## 111 BMP6 CAD 2.026462346 1061013242 6
## 112 BMP6 HF 2.044517320 1061013242 6
## 113 BPIFB1 AS -0.047400497 2707267496 20
## 114 BPIFB1 Afib 2.202660041 2707267496 20
## 115 BPIFB1 CAD 1.956835945 2707267496 20
## 116 BPIFB1 HF 6.440079671 2707267496 B
## 117 BTC AS 1.087802206 761361241 4
## 118 BTC Afib 0.265155585 761361241 4
## 119 BTC CAD 0.679742662 761361241 4
## 120 BTC HF 1.725439635 761361241 4
## 121 C1QA AS -0.006809940 22636628 1
## 122 C1QA Afib 1.973000217 22636628 1
## 123 C1QA CAD 0.506182635 22636628 1
## 124 C1QA HF 3.844530851 22636628 1
## 125 C1QTNF1 AS -0.434074300 2536097434 17
## 126 C1QTNF1 Afib 0.263399343 2536097434 17
## 127 C1QTNF1 CAD 3.263563253 2536097434 17
## 128 C1QTNF1 HF 6.993694800 2536097434 B
## 129 C2 AS 0.036125671 1085184928 6
## 130 C2 Afib -0.161772760 1085184928 6
## 131 C2 CAD 2.376319448 1085184928 6
## 132 C2 HF 0.259131617 1085184928 6
## 133 CALCA AS 1.639575868 1809232921 11
## 134 CALCA Afib 4.437963465 1809232921 A
## 135 CALCA CAD 2.565633510 1809232921 11
## 136 CALCA HF 9.881363963 1809232921 A
## 137 CANT1 AS 1.651563307 2536066336 17
## 138 CANT1 Afib 0.294202419 2536066336 17
## 139 CANT1 CAD 3.200903810 2536066336 17
## 140 CANT1 HF 6.153839640 2536066336 B
## 141 CAPG AS 2.210496004 334134168 2
## 142 CAPG Afib 3.727946252 334134168 2
## 143 CAPG CAD 4.256881718 334134168 A
## 144 CAPG HF 5.745821757 334134168 A
## 145 CCDC80 AS 0.645188118 603186096 3
## 146 CCDC80 Afib 3.500904645 603186096 3
## 147 CCDC80 CAD 3.912729076 603186096 3
## 148 CCDC80 HF 8.403694894 603186096 B
## 149 CCL11 AS -0.136536039 2491360362 17
## 150 CCL11 Afib 1.549785721 2491360362 17
## 151 CCL11 CAD 8.526638748 2491360362 B
## 152 CCL11 HF 3.152099288 2491360362 17
## 153 CCL15 AS 2.581224743 2493071060 17
## 154 CCL15 Afib 5.888091609 2493071060 A
## 155 CCL15 CAD 11.083998380 2493071060 A
## 156 CCL15 HF 12.005215540 2493071060 A
## 157 CCL17 AS 0.617068692 2424838571 16
## 158 CCL17 Afib 2.383285662 2424838571 16
## 159 CCL17 CAD 6.684990416 2424838571 A
## 160 CCL17 HF 6.418626990 2424838571 A
## 161 CCL18 AS 1.649703934 2493138892 17
## 162 CCL18 Afib 3.607862765 2493138892 17
## 163 CCL18 CAD 9.031577532 2493138892 A
## 164 CCL18 HF 7.873563643 2493138892 A
## 165 CCL19 AS 1.348753708 1558582857 9
## 166 CCL19 Afib 0.458401002 1558582857 9
## 167 CCL19 CAD 1.508675421 1558582857 9
## 168 CCL19 HF 2.725742587 1558582857 9
## 169 CCL2 AS -0.161301318 2491329838 17
## 170 CCL2 Afib 1.138686893 2491329838 17
## 171 CCL2 CAD 1.001967379 2491329838 17
## 172 CCL2 HF 0.445344732 2491329838 17
## 173 CCL20 AS 1.091242084 476545154 2
## 174 CCL20 Afib 1.162642828 476545154 2
## 175 CCL20 CAD 8.922248884 476545154 A
## 176 CCL20 HF 11.405124700 476545154 A
## 177 CCL21 AS 1.089259931 1558602292 9
## 178 CCL21 Afib 3.689947225 1558602292 9
## 179 CCL21 CAD 10.857353380 1558602292 A
## 180 CCL21 HF 12.490387330 1558602292 A
## 181 CCL22 AS -0.001434232 2424792587 16
## 182 CCL22 Afib 1.098801025 2424792587 16
## 183 CCL22 CAD 11.134442930 2424792587 A
## 184 CCL22 HF 8.849660361 2424792587 A
## 185 CCL23 AS 1.891560467 2493087676 17
## 186 CCL23 Afib 5.670640610 2493087676 A
## 187 CCL23 CAD 3.748298215 2493087676 17
## 188 CCL23 HF 6.872127051 2493087676 A
## 189 CCL24 AS 0.043180904 1299380174 7
## 190 CCL24 Afib 0.247350246 1299380174 7
## 191 CCL24 CAD 0.792021470 1299380174 7
## 192 CCL24 HF 1.832706869 1299380174 7
## 193 CCL28 AS -0.186417091 916062282 5
## 194 CCL28 Afib 0.261310688 916062282 5
## 195 CCL28 CAD 2.878905717 916062282 5
## 196 CCL28 HF 4.861248451 916062282 B
## 197 CCL3 AS 2.856934752 2493162876 17
## 198 CCL3 Afib 3.037149907 2493162876 17
## 199 CCL3 CAD 10.021974960 2493162876 A
## 200 CCL3 HF 10.421665670 2493162876 A
## 201 CCL4 AS 0.020247887 2493178447 17
## 202 CCL4 Afib 0.128060837 2493178447 17
## 203 CCL4 CAD 7.002583915 2493178447 B
## 204 CCL4 HF 1.843117509 2493178447 17
## 205 CCL5 AS 0.068984269 2492946111 17
## 206 CCL5 Afib 0.032300938 2492946111 17
## 207 CCL5 CAD 4.401946787 2492946111 B
## 208 CCL5 HF 2.386592229 2492946111 17
## 209 CCL8 AS -0.072036155 2491394055 17
## 210 CCL8 Afib 1.741197646 2491394055 17
## 211 CCL8 CAD 3.973503211 2491394055 17
## 212 CCL8 HF 4.767245880 2491394055 B
## 213 CD14 AS 2.970932348 1013317365 5
## 214 CD14 Afib 1.682806769 1013317365 5
## 215 CD14 CAD 10.270586770 1013317365 A
## 216 CD14 HF 17.027883700 1013317365 A
## 217 CD163 AS 1.049115172 1932185709 12
## 218 CD163 Afib 0.458905703 1932185709 12
## 219 CD163 CAD 4.848506542 1932185709 A
## 220 CD163 HF 5.381198433 1932185709 A
## 221 CD40 AS 0.932942093 2720112294 20
## 222 CD40 Afib 0.367896368 2720112294 20
## 223 CD40 CAD 4.986317180 2720112294 A
## 224 CD40 HF 5.788257387 2720112294 A
## 225 CD40LG AS 0.083171501 2970366745 23
## 226 CD40LG Afib 0.487170052 2970366745 23
## 227 CD40LG CAD 1.712155246 2970366745 23
## 228 CD40LG HF 1.970611137 2970366745 23
## 229 CD46 AS 2.419944700 207752054 1
## 230 CD46 Afib 0.012356457 207752054 1
## 231 CD46 CAD 3.183614152 207752054 1
## 232 CD46 HF 6.086503851 207752054 B
## 233 CDSN AS 0.859974431 1084402230 6
## 234 CDSN Afib 2.294661493 1084402230 6
## 235 CDSN CAD 2.366378219 1084402230 6
## 236 CDSN HF 2.432637969 1084402230 6
## 237 CEACAM1 AS 1.622449975 2661012916 19
## 238 CEACAM1 Afib 1.248874019 2661012916 19
## 239 CEACAM1 CAD 1.802002996 2661012916 19
## 240 CEACAM1 HF 4.874055382 2661012916 B
## 241 CGREF1 AS 0.839488487 275838304 2
## 242 CGREF1 Afib 0.545183741 275838304 2
## 243 CGREF1 CAD 2.821138559 275838304 2
## 244 CGREF1 HF 3.972038241 275838304 2
## 245 CHGB AS 2.864302903 2679905526 20
## 246 CHGB Afib 1.084811725 2679905526 20
## 247 CHGB CAD 1.473839332 2679905526 20
## 248 CHGB HF 3.393708461 2679905526 20
## 249 CHI3L1 AS 3.582870401 203178931 1
## 250 CHI3L1 Afib 7.478653507 203178931 A
## 251 CHI3L1 CAD 11.723016490 203178931 A
## 252 CHI3L1 HF 13.960319290 203178931 A
## 253 CHL1 AS -0.542609542 490786062 3
## 254 CHL1 Afib -0.300803051 490786062 3
## 255 CHL1 CAD -0.055971638 490786062 3
## 256 CHL1 HF 0.758267498 490786062 3
## 257 CHRDL1 AS 1.709659797 2944392443 23
## 258 CHRDL1 Afib 6.961865471 2944392443 A
## 259 CHRDL1 CAD 6.610468367 2944392443 A
## 260 CHRDL1 HF 14.044393620 2944392443 A
## 261 CHRDL2 AS 0.208346432 1868962682 11
## 262 CHRDL2 Afib -0.207996031 1868962682 11
## 263 CHRDL2 CAD -1.224066083 1868962682 11
## 264 CHRDL2 HF 0.050804975 1868962682 11
## 265 CLEC11A AS -0.241389262 2669228976 19
## 266 CLEC11A Afib 2.582122209 2669228976 19
## 267 CLEC11A CAD 1.860963446 2669228976 19
## 268 CLEC11A HF 2.214020650 2669228976 19
## 269 CNPY2 AS 0.261249510 1981024740 12
## 270 CNPY2 Afib 1.137313898 1981024740 12
## 271 CNPY2 CAD 1.091401115 1981024740 12
## 272 CNPY2 HF 0.783192705 1981024740 12
## 273 CNTN4 AS -1.190063002 492688112 3
## 274 CNTN4 Afib 2.402298266 492688112 3
## 275 CNTN4 CAD -0.921252429 492688112 3
## 276 CNTN4 HF -0.014563896 492688112 3
## 277 COL18A1 AS 2.650161918 2783095833 21
## 278 COL18A1 Afib 8.371635042 2783095833 A
## 279 COL18A1 CAD 16.195828120 2783095833 A
## 280 COL18A1 HF 25.243761890 2783095833 A
## 281 COL1A1 AS 0.409813103 2507258721 17
## 282 COL1A1 Afib 0.964803803 2507258721 17
## 283 COL1A1 CAD 0.081738008 2507258721 17
## 284 COL1A1 HF 0.522815165 2507258721 17
## 285 COL4A1 AS 2.425769273 2159640717 13
## 286 COL4A1 Afib 14.915727200 2159640717 A
## 287 COL4A1 CAD 2.521870151 2159640717 13
## 288 COL4A1 HF 11.078311930 2159640717 A
## 289 COL6A3 AS 2.759698792 486063418 2
## 290 COL6A3 Afib 10.330614960 486063418 A
## 291 COL6A3 CAD 15.622353200 486063418 A
## 292 COL6A3 HF 19.658149660 486063418 A
## 293 COL9A1 AS 1.206389080 1123503183 6
## 294 COL9A1 Afib 3.574385571 1123503183 6
## 295 COL9A1 CAD 0.047748460 1123503183 6
## 296 COL9A1 HF 1.613592985 1123503183 6
## 297 COMP AS 0.214866931 2637288385 19
## 298 COMP Afib -0.009960182 2637288385 19
## 299 COMP CAD -1.360728799 2637288385 19
## 300 COMP HF -0.565118466 2637288385 19
## 301 CPA1 AS 0.227352034 1353949688 7
## 302 CPA1 Afib -0.226607356 1353949688 7
## 303 CPA1 CAD 0.034771191 1353949688 7
## 304 CPA1 HF 0.460994123 1353949688 7
## 305 CPA2 AS -0.007129901 1353836212 7
## 306 CPA2 Afib -1.064624171 1353836212 7
## 307 CPA2 CAD 0.230642690 1353836212 7
## 308 CPA2 HF -0.372468983 1353836212 7
## 309 CPE AS 0.181534279 851977676 4
## 310 CPE Afib 0.189669528 851977676 4
## 311 CPE CAD -0.736290394 851977676 4
## 312 CPE HF -1.968407731 851977676 4
## 313 CPXM1 AS -0.117177763 2676788090 20
## 314 CPXM1 Afib 0.177538944 2676788090 20
## 315 CPXM1 CAD 3.157441670 2676788090 20
## 316 CPXM1 HF 2.851915653 2676788090 20
## 317 CREG1 AS 0.007699279 167529117 1
## 318 CREG1 Afib 0.781564537 167529117 1
## 319 CREG1 CAD 5.539865996 167529117 B
## 320 CREG1 HF 3.483074885 167529117 1
## 321 CRELD2 AS 0.852205280 2833014000 22
## 322 CRELD2 Afib 0.334112626 2833014000 22
## 323 CRELD2 CAD 2.320596374 2833014000 22
## 324 CRELD2 HF 6.944298085 2833014000 B
## 325 CRLF1 AS 0.316867032 2637077832 19
## 326 CRLF1 Afib 4.592297066 2637077832 B
## 327 CRLF1 CAD 0.896501989 2637077832 19
## 328 CRLF1 HF 1.367012640 2637077832 19
## 329 CRTAC1 AS -0.387985601 1758868833 10
## 330 CRTAC1 Afib -0.370252017 1758868833 10
## 331 CRTAC1 CAD -0.789928541 1758868833 10
## 332 CRTAC1 HF -1.463717385 1758868833 10
## 333 CSF1 AS 2.980096159 109910242 1
## 334 CSF1 Afib 7.639083020 109910242 A
## 335 CSF1 CAD 10.252815710 109910242 A
## 336 CSF1 HF 22.336589490 109910242 A
## 337 CST3 AS 5.662182552 2697620722 A
## 338 CST3 Afib 10.961908000 2697620722 A
## 339 CST3 CAD 19.789593990 2697620722 A
## 340 CST3 HF 18.178790020 2697620722 A
## 341 CST7 AS -0.195865648 2698943285 20
## 342 CST7 Afib 0.480779862 2698943285 20
## 343 CST7 CAD 1.265558121 2698943285 20
## 344 CST7 HF 3.606043662 2698943285 20
## 345 CTF1 AS 0.940786106 2398330418 16
## 346 CTF1 Afib -0.566366046 2398330418 16
## 347 CTF1 CAD 1.721906734 2398330418 16
## 348 CTF1 HF 0.212790202 2398330418 16
## 349 CTRB1 AS 0.221712855 2442652792 16
## 350 CTRB1 Afib -0.413720668 2442652792 16
## 351 CTRB1 CAD 0.372574280 2442652792 16
## 352 CTRB1 HF 0.011210799 2442652792 16
## 353 CTSB AS 0.132179091 1392950929 8
## 354 CTSB Afib 6.031128209 1392950929 A
## 355 CTSB CAD 0.978438472 1392950929 8
## 356 CTSB HF 5.226373688 1392950929 A
## 357 CTSD AS 1.890064520 1796019005 11
## 358 CTSD Afib 1.453182640 1796019005 11
## 359 CTSD CAD 7.572322395 1796019005 A
## 360 CTSD HF 5.938801601 1796019005 A
## 361 CTSL AS 2.939376922 1611617338 9
## 362 CTSL Afib 8.369237345 1611617338 A
## 363 CTSL CAD 10.307077570 1611617338 A
## 364 CTSL HF 7.151812569 1611617338 A
## 365 CX3CL1 AS 0.374946259 2424806281 16
## 366 CX3CL1 Afib 3.337439113 2424806281 16
## 367 CX3CL1 CAD 0.579717520 2424806281 16
## 368 CX3CL1 HF 6.382308863 2424806281 B
## 369 CXADR AS 2.188020200 2755203711 21
## 370 CXADR Afib 2.153896871 2755203711 21
## 371 CXADR CAD 1.756206298 2755203711 21
## 372 CXADR HF 5.652232981 2755203711 B
## 373 CXCL1 AS 1.771708899 760485875 4
## 374 CXCL1 Afib -0.388948655 760485875 4
## 375 CXCL1 CAD 0.154774597 760485875 4
## 376 CXCL1 HF 0.782880831 760485875 4
## 377 CXCL10 AS 1.392796862 762637600 4
## 378 CXCL10 Afib 6.883702230 762637600 A
## 379 CXCL10 CAD 8.005777876 762637600 A
## 380 CXCL10 HF 5.099728859 762637600 A
## 381 CXCL11 AS -0.040512122 762650164 4
## 382 CXCL11 Afib 1.751049214 762650164 4
## 383 CXCL11 CAD 5.633727438 762650164 A
## 384 CXCL11 HF 7.787874860 762650164 A
## 385 CXCL12 AS 0.122451095 1705373998 10
## 386 CXCL12 Afib 2.359624243 1705373998 10
## 387 CXCL12 CAD 7.477317962 1705373998 A
## 388 CXCL12 HF 4.146475785 1705373998 A
## 389 CXCL13 AS 2.645472330 764128235 4
## 390 CXCL13 Afib 2.372032875 764128235 4
## 391 CXCL13 CAD 7.408174963 764128235 A
## 392 CXCL13 HF 11.986990750 764128235 A
## 393 CXCL14 AS 0.089694811 1008256316 5
## 394 CXCL14 Afib 1.318254735 1008256316 5
## 395 CXCL14 CAD 0.231240242 1008256316 5
## 396 CXCL14 HF 0.022321259 1008256316 5
## 397 CXCL16 AS 2.234212607 2461808153 17
## 398 CXCL16 Afib 1.964286871 2461808153 17
## 399 CXCL16 CAD 11.589261780 2461808153 A
## 400 CXCL16 HF 9.147846035 2461808153 A
## 401 CXCL6 AS 0.103042124 760453122 4
## 402 CXCL6 Afib 0.107633963 760453122 4
## 403 CXCL6 CAD 0.574545285 760453122 4
## 404 CXCL6 HF 0.660559136 760453122 4
## 405 CXCL9 AS 2.391418258 762617757 4
## 406 CXCL9 Afib 6.278541586 762617757 A
## 407 CXCL9 CAD 8.985697648 762617757 A
## 408 CXCL9 HF 12.707332840 762617757 A
## 409 DAG1 AS 1.634671557 540058002 3
## 410 DAG1 Afib -0.334739002 540058002 3
## 411 DAG1 CAD 2.426816384 540058002 3
## 412 DAG1 HF 1.933306965 540058002 3
## 413 DCN AS 2.956122104 2015855382 12
## 414 DCN Afib 2.983806770 2015855382 12
## 415 DCN CAD 0.484206239 2015855382 12
## 416 DCN HF -0.376809727 2015855382 12
## 417 DKK3 AS 0.925220451 1806222460 11
## 418 DKK3 Afib 4.730124559 1806222460 B
## 419 DKK3 CAD 0.972372785 1806222460 11
## 420 DKK3 HF 1.323396754 1806222460 11
## 421 DKKL1 AS -1.203822817 2667867395 19
## 422 DKKL1 Afib -0.980259310 2667867395 19
## 423 DKKL1 CAD -0.665134579 2667867395 19
## 424 DKKL1 HF -0.873587122 2667867395 19
## 425 DPP4 AS -0.778372028 410731660 2
## 426 DPP4 Afib -1.677724617 410731660 2
## 427 DPP4 CAD -1.493667474 410731660 2
## 428 DPP4 HF -2.830844594 410731660 2
## 429 DPP7 AS 1.726095858 1661003833 9
## 430 DPP7 Afib 1.835974396 1661003833 9
## 431 DPP7 CAD 9.591505587 1661003833 A
## 432 DPP7 HF 4.577988178 1661003833 A
## 433 DPT AS -0.140561918 168695468 1
## 434 DPT Afib 0.924163160 168695468 1
## 435 DPT CAD 2.919246014 168695468 1
## 436 DPT HF 4.321173972 168695468 B
## 437 EDIL3 AS 0.432345999 956626191 5
## 438 EDIL3 Afib 0.844924462 956626191 5
## 439 EDIL3 CAD 2.346073078 956626191 5
## 440 EDIL3 HF 2.332678634 956626191 5
## 441 EFEMP1 AS 1.895987688 304605382 2
## 442 EFEMP1 Afib 6.554404530 304605382 A
## 443 EFEMP1 CAD 6.186053368 304605382 A
## 444 EFEMP1 HF 21.030660480 304605382 A
## 445 EFNA1 AS 4.703298593 155127876 A
## 446 EFNA1 Afib 7.278658013 155127876 A
## 447 EFNA1 CAD 11.964507810 155127876 A
## 448 EFNA1 HF 23.803490240 155127876 A
## 449 EGFL7 AS 0.124810705 1660552143 9
## 450 EGFL7 Afib 2.455371599 1660552143 9
## 451 EGFL7 CAD 2.136042025 1660552143 9
## 452 EGFL7 HF 4.865610952 1660552143 B
## 453 ENPP2 AS 0.437214287 1500665491 8
## 454 ENPP2 Afib 6.031546313 1500665491 A
## 455 ENPP2 CAD 1.139714784 1500665491 8
## 456 ENPP2 HF 4.929417805 1500665491 A
## 457 ENPP5 AS -0.302353835 1099446328 6
## 458 ENPP5 Afib -3.013963089 1099446328 6
## 459 ENPP5 CAD -2.970075336 1099446328 6
## 460 ENPP5 HF -7.056131419 1099446328 B
## 461 ENTPD5 AS 0.107640758 2237270313 14
## 462 ENTPD5 Afib 0.924491210 2237270313 14
## 463 ENTPD5 CAD 0.106038133 2237270313 14
## 464 ENTPD5 HF 1.263420364 2237270313 14
## 465 EPHB6 AS 1.134310915 1366424410 7
## 466 EPHB6 Afib -0.160516017 1366424410 7
## 467 EPHB6 CAD 1.323443486 1366424410 7
## 468 EPHB6 HF 4.218554913 1366424410 B
## 469 EREG AS 0.132193774 760981627 4
## 470 EREG Afib 0.071451198 760981627 4
## 471 EREG CAD 2.060352125 760981627 4
## 472 EREG HF 1.646490771 760981627 4
## 473 ESM1 AS 3.853705184 927663504 5
## 474 ESM1 Afib 8.970482201 927663504 B
## 475 ESM1 CAD -0.213031929 927663504 5
## 476 ESM1 HF 2.322858160 927663504 5
## 477 F7 AS 0.429583850 2162597542 13
## 478 F7 Afib -8.553190087 2162597542 B
## 479 F7 CAD 2.321485170 2162597542 13
## 480 F7 HF 0.677196942 2162597542 13
## 481 F9 AS 0.562601396 2973249326 23
## 482 F9 Afib -0.082958134 2973249326 23
## 483 F9 CAD 3.549446452 2973249326 23
## 484 F9 HF 4.945673638 2973249326 B
## 485 FAM3B AS 0.123215798 2778994880 21
## 486 FAM3B Afib 0.875056325 2778994880 21
## 487 FAM3B CAD 0.970407940 2778994880 21
## 488 FAM3B HF 2.180174070 2778994880 21
## 489 FAM3C AS 1.830490697 1344918227 7
## 490 FAM3C Afib 3.753419542 1344918227 7
## 491 FAM3C CAD 7.223188652 1344918227 A
## 492 FAM3C HF 10.049151390 1344918227 A
## 493 FAP AS -0.378691640 410910099 2
## 494 FAP Afib -2.841306086 410910099 2
## 495 FAP CAD -2.579180790 410910099 2
## 496 FAP HF -2.878914028 410910099 2
## 497 FASLG AS -2.564009292 172659103 1
## 498 FASLG Afib 1.451833026 172659103 1
## 499 FASLG CAD -5.583641056 172659103 B
## 500 FASLG HF -1.077303890 172659103 1
## 501 FETUB AS 0.339852887 677225268 3
## 502 FETUB Afib -0.142384643 677225268 3
## 503 FETUB CAD 1.301788355 677225268 3
## 504 FETUB HF 1.638446290 677225268 3
## 505 FGF19 AS 0.209724473 1863964491 11
## 506 FGF19 Afib 2.175760226 1863964491 11
## 507 FGF19 CAD 0.062208062 1863964491 11
## 508 FGF19 HF 2.656053017 1863964491 11
## 509 FGF2 AS 3.179878781 809443190 4
## 510 FGF2 Afib 0.174882797 809443190 4
## 511 FGF2 CAD 2.909815182 809443190 4
## 512 FGF2 HF 3.307689060 809443190 4
## 513 FGF21 AS 0.228408933 2667261136 19
## 514 FGF21 Afib 1.222322600 2667261136 19
## 515 FGF21 CAD 5.970509780 2667261136 A
## 516 FGF21 HF 4.113193380 2667261136 A
## 517 FGF23 AS 2.824416035 1929083125 12
## 518 FGF23 Afib 16.976581910 1929083125 A
## 519 FGF23 CAD 4.699184621 1929083125 A
## 520 FGF23 HF 14.786215750 1929083125 A
## 521 FGF5 AS 1.590576502 766883121 4
## 522 FGF5 Afib 0.751056237 766883121 4
## 523 FGF5 CAD 1.372516108 766883121 4
## 524 FGF5 HF 2.701741128 766883121 4
## 525 FOLR1 AS 1.017964211 1866455811 11
## 526 FOLR1 Afib 0.414622351 1866455811 11
## 527 FOLR1 CAD 4.315068974 1866455811 A
## 528 FOLR1 HF 8.456642314 1866455811 A
## 529 FRZB AS 0.273361962 431572690 2
## 530 FRZB Afib 1.992776392 431572690 2
## 531 FRZB CAD -0.025022006 431572690 2
## 532 FRZB HF -0.455746631 431572690 2
## 533 FST AS 2.312840314 926166263 5
## 534 FST Afib 3.584612503 926166263 5
## 535 FST CAD 4.564002127 926166263 A
## 536 FST HF 4.662493326 926166263 A
## 537 FSTL3 AS 3.243958232 2619182004 19
## 538 FSTL3 Afib 9.649494547 2619182004 A
## 539 FSTL3 CAD 11.426142040 2619182004 A
## 540 FSTL3 HF 28.317683550 2619182004 A
## 541 GALNT2 AS -0.601020952 230057990 1
## 542 GALNT2 Afib 0.228250183 230057990 1
## 543 GALNT2 CAD -2.408167637 230057990 1
## 544 GALNT2 HF -1.716841475 230057990 1
## 545 GAS6 AS 0.289080378 2163312303 13
## 546 GAS6 Afib 2.327175426 2163312303 13
## 547 GAS6 CAD 2.416141319 2163312303 13
## 548 GAS6 HF 8.965373158 2163312303 B
## 549 GDF15 AS 10.562135580 2636880343 A
## 550 GDF15 Afib 14.049119720 2636880343 A
## 551 GDF15 CAD 44.696933720 2636880343 A
## 552 GDF15 HF 49.677197740 2636880343 A
## 553 GDF2 AS 0.281401394 1708326287 10
## 554 GDF2 Afib -2.988468417 1708326287 10
## 555 GDF2 CAD -0.671983778 1708326287 10
## 556 GDF2 HF 0.629922635 1708326287 10
## 557 GDNF AS 0.380184338 910498314 5
## 558 GDNF Afib 1.827816186 910498314 5
## 559 GDNF CAD 2.432248566 910498314 5
## 560 GDNF HF 0.783408664 910498314 5
## 561 GFOD2 AS 0.020697529 2435108335 16
## 562 GFOD2 Afib 0.430922231 2435108335 16
## 563 GFOD2 CAD 0.267548427 2435108335 16
## 564 GFOD2 HF 0.939661311 2435108335 16
## 565 GGH AS 0.156234069 1444123286 8
## 566 GGH Afib -0.094328706 1444123286 8
## 567 GGH CAD 4.223772379 1444123286 B
## 568 GGH HF 2.490795136 1444123286 8
## 569 GHRL AS 1.883479495 500874965 3
## 570 GHRL Afib 0.910525696 500874965 3
## 571 GHRL CAD 0.061947834 500874965 3
## 572 GHRL HF 1.830617207 500874965 3
## 573 GKN1 AS 0.103684173 317713988 2
## 574 GKN1 Afib 1.481162897 317713988 2
## 575 GKN1 CAD -0.173516924 317713988 2
## 576 GKN1 HF 1.484300071 317713988 2
## 577 GP2 AS 0.579622211 2387743378 16
## 578 GP2 Afib 0.983380075 2387743378 16
## 579 GP2 CAD -0.755485250 2387743378 16
## 580 GP2 HF 2.256060957 2387743378 16
## 581 GPC1 AS 0.114507233 489175078 2
## 582 GPC1 Afib -3.419358742 489175078 2
## 583 GPC1 CAD -1.143714405 489175078 2
## 584 GPC1 HF -0.816145821 489175078 2
## 585 GRN AS 1.082898125 2501419866 17
## 586 GRN Afib 1.410971656 2501419866 17
## 587 GRN CAD 5.293150620 2501419866 A
## 588 GRN HF 11.532018080 2501419866 A
## 589 GZMA AS -0.067370264 927788283 5
## 590 GZMA Afib 0.563447258 927788283 5
## 591 GZMA CAD 0.626578635 927788283 5
## 592 GZMA HF 0.725120426 927788283 5
## 593 HBEGF AS -0.654344130 1013018480 5
## 594 HBEGF Afib -0.887487018 1013018480 5
## 595 HBEGF CAD 1.178708658 1013018480 5
## 596 HBEGF HF 0.075232183 1013018480 5
## 597 HSP90B1 AS 1.301414856 2028645005 12
## 598 HSP90B1 Afib 0.028894522 2028645005 12
## 599 HSP90B1 CAD -0.274842070 2028645005 12
## 600 HSP90B1 HF -0.300589723 2028645005 12
## 601 HSPG2 AS 3.494642260 21822244 1
## 602 HSPG2 Afib 14.803379760 21822244 A
## 603 HSPG2 CAD 5.945502642 21822244 A
## 604 HSPG2 HF 13.193468660 21822244 A
## 605 HYAL1 AS 2.317788312 540889189 3
## 606 HYAL1 Afib 0.136801444 540889189 3
## 607 HYAL1 CAD 2.842100034 540889189 3
## 608 HYAL1 HF 3.207103121 540889189 3
## 609 ICAM4 AS 0.033455087 2628792567 19
## 610 ICAM4 Afib -1.420754603 2628792567 19
## 611 ICAM4 CAD -2.937404723 2628792567 19
## 612 ICAM4 HF -0.279355184 2628792567 19
## 613 IFNG AS 0.240151414 1992869666 12
## 614 IFNG Afib 6.252167839 1992869666 A
## 615 IFNG CAD 1.631102276 1992869666 12
## 616 IFNG HF 5.125589318 1992869666 A
## 617 IGFBP1 AS 2.286318498 1269457709 7
## 618 IGFBP1 Afib 10.695865330 1269457709 A
## 619 IGFBP1 CAD 2.003310513 1269457709 7
## 620 IGFBP1 HF 9.193663637 1269457709 A
## 621 IGFBP2 AS 3.769462650 465372243 2
## 622 IGFBP2 Afib 19.474588030 465372243 A
## 623 IGFBP2 CAD 3.572443073 465372243 2
## 624 IGFBP2 HF 19.232898990 465372243 A
## 625 IGFBP3 AS -0.124402961 1269481594 7
## 626 IGFBP3 Afib -1.488586800 1269481594 7
## 627 IGFBP3 CAD -2.573825941 1269481594 7
## 628 IGFBP3 HF -2.313718710 1269481594 7
## 629 IGFBP4 AS 6.838664022 2497518070 A
## 630 IGFBP4 Afib 18.433053440 2497518070 A
## 631 IGFBP4 CAD 26.341812390 2497518070 A
## 632 IGFBP4 HF 39.142898860 2497518070 A
## 633 IGFBP6 AS 0.987194412 1977812334 12
## 634 IGFBP6 Afib -0.100226856 1977812334 12
## 635 IGFBP6 CAD 2.817662453 1977812334 12
## 636 IGFBP6 HF 2.269671016 1977812334 12
## 637 IGFBP7 AS 5.252820560 743647255 A
## 638 IGFBP7 Afib 13.471788490 743647255 A
## 639 IGFBP7 CAD 9.041254923 743647255 A
## 640 IGFBP7 HF 31.344929000 743647255 A
## 641 IGFBPL1 AS 4.322282453 1562299815 A
## 642 IGFBPL1 Afib 10.134069830 1562299815 A
## 643 IGFBPL1 CAD 3.346219543 1562299815 9
## 644 IGFBPL1 HF 12.251907330 1562299815 A
## 645 IL10 AS 1.642532961 206767602 1
## 646 IL10 Afib 1.276497150 206767602 1
## 647 IL10 CAD 1.253647859 206767602 1
## 648 IL10 HF 6.410925002 206767602 B
## 649 IL15 AS 3.126055452 828253065 4
## 650 IL15 Afib 3.871580786 828253065 4
## 651 IL15 CAD 4.271040476 828253065 A
## 652 IL15 HF 10.103036060 828253065 A
## 653 IL15RA AS 0.293676875 1666947472 10
## 654 IL15RA Afib 3.896586144 1666947472 10
## 655 IL15RA CAD 2.647061215 1666947472 10
## 656 IL15RA HF 7.013639291 1666947472 B
## 657 IL16 AS 0.484293093 2349944840 15
## 658 IL16 Afib 1.774034491 2349944840 15
## 659 IL16 CAD 1.930712860 2349944840 15
## 660 IL16 HF 2.493988300 2349944840 15
## 661 IL17RB AS 0.646780247 544435867 3
## 662 IL17RB Afib 3.592247493 544435867 3
## 663 IL17RB CAD -0.228608154 544435867 3
## 664 IL17RB HF 1.159185481 544435867 3
## 665 IL18 AS 0.579476506 1906409506 11
## 666 IL18 Afib 2.525033761 1906409506 11
## 667 IL18 CAD 6.121847330 1906409506 A
## 668 IL18 HF 11.323999410 1906409506 A
## 669 IL18BP AS 2.765466283 1866264866 11
## 670 IL18BP Afib 6.210732014 1866264866 A
## 671 IL18BP CAD 7.934736236 1866264866 A
## 672 IL18BP HF 19.014399880 1866264866 A
## 673 IL1B AS 0.713619676 361569166 2
## 674 IL1B Afib 1.869171566 361569166 2
## 675 IL1B CAD 3.649501149 361569166 2
## 676 IL1B HF 3.528739510 361569166 2
## 677 IL1R1 AS 1.102045585 350803959 2
## 678 IL1R1 Afib 1.437063222 350803959 2
## 679 IL1R1 CAD 2.549147684 350803959 2
## 680 IL1R1 HF 11.861626590 350803959 B
## 681 IL1R2 AS -0.004607776 350731375 2
## 682 IL1R2 Afib -1.456353026 350731375 2
## 683 IL1R2 CAD -1.198793608 350731375 2
## 684 IL1R2 HF -0.825353177 350731375 2
## 685 IL1RAP AS -0.022654616 681103350 3
## 686 IL1RAP Afib -0.536612255 681103350 3
## 687 IL1RAP CAD -2.904558858 681103350 3
## 688 IL1RAP HF -0.444787886 681103350 3
## 689 IL1RL1 AS 3.564373491 351050917 2
## 690 IL1RL1 Afib 3.451640331 351050917 2
## 691 IL1RL1 CAD 2.128445908 351050917 2
## 692 IL1RL1 HF 6.126877052 351050917 B
## 693 IL1RN AS 0.759727060 361846629 2
## 694 IL1RN Afib 0.663792634 361846629 2
## 695 IL1RN CAD 11.845110630 361846629 A
## 696 IL1RN HF 7.408409703 361846629 A
## 697 IL2 AS -0.184130092 809067952 4
## 698 IL2 Afib 1.003563466 809067952 4
## 699 IL2 CAD -1.032363985 809067952 4
## 700 IL2 HF -0.033404197 809067952 4
## 701 IL33 AS 1.138612234 1530109073 9
## 702 IL33 Afib 0.998721536 1530109073 9
## 703 IL33 CAD -0.152154870 1530109073 9
## 704 IL33 HF -0.518377868 1530109073 9
## 705 IL34 AS 0.693301992 2438013699 16
## 706 IL34 Afib 0.081574791 2438013699 16
## 707 IL34 CAD -1.678269284 2438013699 16
## 708 IL34 HF -0.170336705 2438013699 16
## 709 IL6 AS 3.320126413 1246295233 7
## 710 IL6 Afib 5.169432251 1246295233 A
## 711 IL6 CAD 15.538953910 1246295233 A
## 712 IL6 HF 20.124247660 1246295233 A
## 713 IL7 AS 0.631586540 1459784148 8
## 714 IL7 Afib -0.930648063 1459784148 8
## 715 IL7 CAD 1.713679936 1459784148 8
## 716 IL7 HF 1.065270072 1459784148 8
## 717 INHBC AS -1.405269168 1982149682 12
## 718 INHBC Afib -0.082473056 1982149682 12
## 719 INHBC CAD 5.041434504 1982149682 B
## 720 INHBC HF 0.851829260 1982149682 12
## 721 ITIH3 AS 1.834756761 543384067 3
## 722 ITIH3 Afib 6.330250884 543384067 A
## 723 ITIH3 CAD 6.256465865 543384067 A
## 724 ITIH3 HF 11.470304260 543384067 A
## 725 JCHAIN AS -1.095498083 757272023 4
## 726 JCHAIN Afib 0.723281459 757272023 4
## 727 JCHAIN CAD 0.239026232 757272023 4
## 728 JCHAIN HF 0.407297911 757272023 4
## 729 KAZALD1 AS 0.327502560 1762065822 10
## 730 KAZALD1 Afib 0.419656689 1762065822 10
## 731 KAZALD1 CAD -4.679918416 1762065822 B
## 732 KAZALD1 HF -0.009819594 1762065822 10
## 733 KDR AS -0.515377554 741694963 4
## 734 KDR Afib -2.800596008 741694963 4
## 735 KDR CAD 0.122277836 741694963 4
## 736 KDR HF -0.069022279 741694963 4
## 737 KLK11 AS 1.219823425 2669527828 19
## 738 KLK11 Afib 3.226058742 2669527828 19
## 739 KLK11 CAD 3.121340246 2669527828 19
## 740 KLK11 HF 10.648917070 2669527828 B
## 741 LAMA4 AS 0.880074528 1165395074 6
## 742 LAMA4 Afib 3.226209999 1165395074 6
## 743 LAMA4 CAD 3.810281453 1165395074 6
## 744 LAMA4 HF 7.139734969 1165395074 B
## 745 LBP AS 0.675062720 2712340498 20
## 746 LBP Afib 0.127449532 2712340498 20
## 747 LBP CAD 4.699360642 2712340498 A
## 748 LBP HF 5.079261424 2712340498 A
## 749 LCN2 AS 3.597982764 1652042358 9
## 750 LCN2 Afib 7.028032386 1652042358 A
## 751 LCN2 CAD 5.475415997 1652042358 A
## 752 LCN2 HF 10.222312250 1652042358 A
## 753 LEP AS -0.135364847 1351810627 7
## 754 LEP Afib -3.963742635 1351810627 7
## 755 LEP CAD 1.625471299 1351810627 7
## 756 LEP HF 0.161432515 1351810627 7
## 757 LEPR AS 0.278490590 65420652 1
## 758 LEPR Afib 1.878945536 65420652 1
## 759 LEPR CAD -0.043868487 65420652 1
## 760 LEPR HF 1.397484127 65420652 1
## 761 LGALS1 AS 1.576268937 2820771469 22
## 762 LGALS1 Afib 2.647340574 2820771469 22
## 763 LGALS1 CAD 6.887262103 2820771469 A
## 764 LGALS1 HF 6.811214022 2820771469 A
## 765 LGALS3 AS -0.147053601 2218436413 14
## 766 LGALS3 Afib 0.219397824 2218436413 14
## 767 LGALS3 CAD 4.944831075 2218436413 B
## 768 LGALS3 HF 0.138533686 2218436413 14
## 769 LIF AS 0.185311121 2813336286 22
## 770 LIF Afib 1.018286145 2813336286 22
## 771 LIF CAD 4.365848405 2813336286 B
## 772 LIF HF 0.962452065 2813336286 22
## 773 LIFR AS 3.220450630 911160305 5
## 774 LIFR Afib 3.150933306 911160305 5
## 775 LIFR CAD 0.094443195 911160305 5
## 776 LIFR HF 4.739786283 911160305 B
## 777 LPL AS 1.014440029 1401010122 8
## 778 LPL Afib 1.531271056 1401010122 8
## 779 LPL CAD 0.131269485 1401010122 8
## 780 LPL HF 0.814181869 1401010122 8
## 781 LTA AS -0.678864952 1084859197 6
## 782 LTA Afib 2.677978708 1084859197 6
## 783 LTA CAD 0.066796681 1084859197 6
## 784 LTA HF 1.710543076 1084859197 6
## 785 LTBP2 AS 6.196663695 2237810486 A
## 786 LTBP2 Afib 31.578558450 2237810486 A
## 787 LTBP2 CAD 7.821856588 2237810486 A
## 788 LTBP2 HF 32.765375270 2237810486 A
## 789 LTBP3 AS 0.991374030 1859804812 11
## 790 LTBP3 Afib 2.847865562 1859804812 11
## 791 LTBP3 CAD 8.998593735 1859804812 A
## 792 LTBP3 HF 6.979794175 1859804812 A
## 793 LY96 AS 0.919688441 1455099797 8
## 794 LY96 Afib 4.098634403 1455099797 A
## 795 LY96 CAD 2.981614934 1455099797 8
## 796 LY96 HF 8.104050007 1455099797 A
## 797 MANF AS 0.843589594 541974590 3
## 798 MANF Afib -0.064519428 541974590 3
## 799 MANF CAD 1.532295695 541974590 3
## 800 MANF HF 0.978164518 541974590 3
## 801 MASP1 AS -0.430483391 677806581 3
## 802 MASP1 Afib -0.801539107 677806581 3
## 803 MASP1 CAD -0.280361023 677806581 3
## 804 MASP1 HF 0.206928681 677806581 3
## 805 MATN2 AS 2.329190657 1478977245 8
## 806 MATN2 Afib 6.234920876 1478977245 A
## 807 MATN2 CAD 2.155917904 1478977245 8
## 808 MATN2 HF 12.666450770 1478977245 A
## 809 MATN3 AS 1.042501087 268731467 2
## 810 MATN3 Afib 3.123630918 268731467 2
## 811 MATN3 CAD 0.985104080 268731467 2
## 812 MATN3 HF 1.003955566 268731467 2
## 813 MDK AS 1.014305343 1840647009 11
## 814 MDK Afib 1.425099223 1840647009 11
## 815 MDK CAD 7.441120631 1840647009 A
## 816 MDK HF 7.349031363 1840647009 A
## 817 MEPE AS -0.987673225 774437880 4
## 818 MEPE Afib -0.001860734 774437880 4
## 819 MEPE CAD -0.593669763 774437880 4
## 820 MEPE HF -0.810825473 774437880 4
## 821 MFAP5 AS 0.340612487 1933352244 12
## 822 MFAP5 Afib 1.387648904 1933352244 12
## 823 MFAP5 CAD 3.136729667 1933352244 12
## 824 MFAP5 HF 2.978275684 1933352244 12
## 825 MFGE8 AS 0.447012152 2357683948 15
## 826 MFGE8 Afib -0.427742995 2357683948 15
## 827 MFGE8 CAD 1.421627592 2357683948 15
## 828 MFGE8 HF 0.390258978 2357683948 15
## 829 MIA AS -0.090910333 2659277260 19
## 830 MIA Afib -0.103952136 2659277260 19
## 831 MIA CAD 2.047566675 2659277260 19
## 832 MIA HF 0.979376498 2659277260 19
## 833 MIF AS 0.379734050 2806990216 22
## 834 MIF Afib -0.369787748 2806990216 22
## 835 MIF CAD 0.721777278 2806990216 22
## 836 MIF HF 0.344205672 2806990216 22
## 837 MMP1 AS 0.322282304 1897055654 11
## 838 MMP1 Afib 1.768187721 1897055654 11
## 839 MMP1 CAD 2.432478086 1897055654 11
## 840 MMP1 HF 4.460068550 1897055654 B
## 841 MMP12 AS 3.800266596 1897128989 11
## 842 MMP12 Afib 6.299738251 1897128989 A
## 843 MMP12 CAD 38.966135320 1897128989 A
## 844 MMP12 HF 21.380393140 1897128989 A
## 845 MMP7 AS 3.942127057 1896786761 11
## 846 MMP7 Afib 3.042972402 1896786761 11
## 847 MMP7 CAD 14.744625490 1896786761 A
## 848 MMP7 HF 16.070532810 1896786761 A
## 849 MMP8 AS 0.313208952 1896978049 11
## 850 MMP8 Afib 2.907949856 1896978049 11
## 851 MMP8 CAD 6.538736604 1896978049 A
## 852 MMP8 HF 4.539355621 1896978049 A
## 853 MMP9 AS 0.129170682 2720002924 20
## 854 MMP9 Afib 3.028896562 2720002924 20
## 855 MMP9 CAD 6.137520086 2720002924 A
## 856 MMP9 HF 5.185725462 2720002924 A
## 857 MSLN AS 2.222807261 2368194538 16
## 858 MSLN Afib 4.234662855 2368194538 A
## 859 MSLN CAD 12.698782510 2368194538 A
## 860 MSLN HF 11.761970360 2368194538 A
## 861 MUC13 AS 0.663593806 615494741 3
## 862 MUC13 Afib 0.387232387 615494741 3
## 863 MUC13 CAD 0.526957669 615494741 3
## 864 MUC13 HF 1.121156721 615494741 3
## 865 MYOC AS 0.468664843 171635417 1
## 866 MYOC Afib 1.458637778 171635417 1
## 867 MYOC CAD -0.598362580 171635417 1
## 868 MYOC HF 0.532975908 171635417 1
## 869 NAMPT AS -0.170198150 1329817647 7
## 870 NAMPT Afib 0.035343886 1329817647 7
## 871 NAMPT CAD 0.027990296 1329817647 7
## 872 NAMPT HF 1.092187278 1329817647 7
## 873 NBL1 AS 1.930051367 19596979 1
## 874 NBL1 Afib 3.126915035 19596979 1
## 875 NBL1 CAD 10.016845680 19596979 A
## 876 NBL1 HF 10.699264160 19596979 A
## 877 NCAN AS -0.766720568 2637717570 19
## 878 NCAN Afib -3.820686945 2637717570 19
## 879 NCAN CAD -0.769744151 2637717570 19
## 880 NCAN HF -5.691193122 2637717570 B
## 881 NELL2 AS 0.066476215 1969223173 12
## 882 NELL2 Afib -4.817535548 1969223173 B
## 883 NELL2 CAD -0.539873347 1969223173 12
## 884 NELL2 HF -0.192354814 1969223173 12
## 885 NGF AS 0.771081986 115285904 1
## 886 NGF Afib 0.547343723 115285904 1
## 887 NGF CAD 0.159317496 115285904 1
## 888 NGF HF 0.301938372 115285904 1
## 889 NID1 AS 0.854871675 235975830 1
## 890 NID1 Afib 0.887116214 235975830 1
## 891 NID1 CAD 5.319041206 235975830 A
## 892 NID1 HF 6.510808064 235975830 A
## 893 NID2 AS -1.513811848 2215317112 14
## 894 NID2 Afib 0.552620459 2215317112 14
## 895 NID2 CAD 2.983295069 2215317112 14
## 896 NID2 HF 2.214198604 2215317112 14
## 897 NPTN AS -0.153510349 2342345279 15
## 898 NPTN Afib 0.318031601 2342345279 15
## 899 NPTN CAD -0.043962746 2342345279 15
## 900 NPTN HF 0.015220656 2342345279 15
## 901 NRCAM AS 0.242066273 1331716972 7
## 902 NRCAM Afib -0.008991658 1331716972 7
## 903 NRCAM CAD 1.538480093 1331716972 7
## 904 NRCAM HF 2.127870855 1331716972 7
## 905 NRTN AS 0.604803003 2624310679 19
## 906 NRTN Afib 1.142983272 2624310679 19
## 907 NRTN CAD 0.762217507 2624310679 19
## 908 NRTN HF -0.025685400 2624310679 19
## 909 NTF3 AS -0.653302472 1930147006 12
## 910 NTF3 Afib 1.269192670 1930147006 12
## 911 NTF3 CAD 0.296733192 1930147006 12
## 912 NTF3 HF -0.008030673 1930147006 12
## 913 NUCB2 AS 1.310563675 1811474406 11
## 914 NUCB2 Afib 2.975301209 1811474406 11
## 915 NUCB2 CAD 11.041574940 1811474406 A
## 916 NUCB2 HF 11.139529300 1811474406 A
## 917 OGN AS 0.653651296 1616276555 9
## 918 OGN Afib 3.425060678 1616276555 9
## 919 OGN CAD 5.496939897 1616276555 A
## 920 OGN HF 11.022444790 1616276555 A
## 921 OLR1 AS 0.302024314 1934873199 12
## 922 OLR1 Afib 3.177154155 1934873199 12
## 923 OLR1 CAD 3.807093283 1934873199 12
## 924 OLR1 HF 2.718824534 1934873199 12
## 925 OMD AS 0.575696274 1616305667 9
## 926 OMD Afib 0.637818159 1616305667 9
## 927 OMD CAD -2.292324438 1616305667 9
## 928 OMD HF -0.160146705 1616305667 9
## 929 P4HB AS 1.190970570 2538917779 17
## 930 P4HB Afib -0.167324029 2538917779 17
## 931 P4HB CAD 5.117062838 2538917779 B
## 932 P4HB HF 4.035719453 2538917779 17
## 933 PAPPA AS -0.286776722 1640047078 9
## 934 PAPPA Afib 1.555675190 1640047078 9
## 935 PAPPA CAD 0.523316826 1640047078 9
## 936 PAPPA HF 1.103442410 1640047078 9
## 937 PDGFA AS -1.012417700 1224066607 7
## 938 PDGFA Afib 0.427595028 1224066607 7
## 939 PDGFA CAD 2.598466633 1224066607 7
## 940 PDGFA HF 1.574678876 1224066607 7
## 941 PDGFB AS -0.901531194 2822319192 22
## 942 PDGFB Afib 0.234423480 2822319192 22
## 943 PDGFB CAD 2.770861815 2822319192 22
## 944 PDGFB HF 1.865209249 2822319192 22
## 945 PDGFC AS -0.000624422 843376936 4
## 946 PDGFC Afib 0.941103583 843376936 4
## 947 PDGFC CAD 1.751812309 843376936 4
## 948 PDGFC HF 1.187844968 843376936 4
## 949 PGF AS 3.081205349 2238254137 14
## 950 PGF Afib 11.669491000 2238254137 A
## 951 PGF CAD 16.260344550 2238254137 A
## 952 PGF HF 30.083458040 2238254137 A
## 953 PIGR AS 3.330215013 206928522 1
## 954 PIGR Afib 4.380318890 206928522 A
## 955 PIGR CAD 17.269839900 206928522 A
## 956 PIGR HF 18.006261700 206928522 A
## 957 PLA2G15 AS 1.455734817 2435679108 16
## 958 PLA2G15 Afib 4.294411503 2435679108 A
## 959 PLA2G15 CAD 9.167148686 2435679108 A
## 960 PLA2G15 HF 10.743860720 2435679108 A
## 961 PLA2G2A AS 2.035388575 19975431 1
## 962 PLA2G2A Afib 3.569764734 19975431 1
## 963 PLA2G2A CAD 5.960419207 19975431 A
## 964 PLA2G2A HF 10.562296300 19975431 A
## 965 PLA2G7 AS -0.301913603 1099991344 6
## 966 PLA2G7 Afib 3.319262616 1099991344 6
## 967 PLA2G7 CAD 4.419033351 1099991344 B
## 968 PLA2G7 HF 0.974769741 1099991344 6
## 969 PLAT AS -0.438666743 1423283123 8
## 970 PLAT Afib 0.000931251 1423283123 8
## 971 PLAT CAD 6.398538359 1423283123 B
## 972 PLAT HF 2.591687434 1423283123 8
## 973 PLAU AS 0.631320484 1734913010 10
## 974 PLAU Afib 2.902079775 1734913010 10
## 975 PLAU CAD 1.549268093 1734913010 10
## 976 PLAU HF 1.106199584 1734913010 10
## 977 PLAUR AS 5.734742495 2662151707 A
## 978 PLAUR Afib 18.536409720 2662151707 A
## 979 PLAUR CAD 34.474142160 2662151707 A
## 980 PLAUR HF 37.779632760 2662151707 A
## 981 PLTP AS 0.243231380 2719892637 20
## 982 PLTP Afib -0.087342299 2719892637 20
## 983 PLTP CAD -6.120841393 2719892637 B
## 984 PLTP HF 0.813251904 2719892637 20
## 985 PM20D1 AS -0.737649055 205828025 1
## 986 PM20D1 Afib -2.894158625 205828025 1
## 987 PM20D1 CAD -0.765644135 205828025 1
## 988 PM20D1 HF -3.641842461 205828025 1
## 989 PNLIPRP2 AS -0.812698253 1777624786 10
## 990 PNLIPRP2 Afib 1.379728046 1777624786 10
## 991 PNLIPRP2 CAD 1.089082925 1777624786 10
## 992 PNLIPRP2 HF -0.021531832 1777624786 10
## 993 PON3 AS 0.257306026 1318929221 7
## 994 PON3 Afib -0.422022424 1318929221 7
## 995 PON3 CAD -6.117427336 1318929221 B
## 996 PON3 HF -0.223139925 1318929221 7
## 997 PRELP AS 0.158025606 203475806 1
## 998 PRELP Afib 2.199628372 203475806 1
## 999 PRELP CAD -0.078808847 203475806 1
## 1000 PRELP HF 0.887603911 203475806 1
## 1001 PROC AS 0.186166453 376157842 2
## 1002 PROC Afib -5.559902873 376157842 B
## 1003 PROC CAD -0.002809960 376157842 2
## 1004 PROC HF -0.797419481 376157842 2
## 1005 PRSS2 AS 0.994686222 1366329747 7
## 1006 PRSS2 Afib 2.051067559 1366329747 7
## 1007 PRSS2 CAD 2.351347535 1366329747 7
## 1008 PRSS2 HF 5.231359869 1366329747 B
## 1009 PRSS8 AS 1.596422225 2398565237 16
## 1010 PRSS8 Afib 2.335418709 2398565237 16
## 1011 PRSS8 CAD 10.744637880 2398565237 A
## 1012 PRSS8 HF 10.198971950 2398565237 A
## 1013 PSPN AS 0.020371760 2624880760 19
## 1014 PSPN Afib 0.319542719 2624880760 19
## 1015 PSPN CAD 0.231920049 2624880760 19
## 1016 PSPN HF 5.496386254 2624880760 B
## 1017 PTGDS AS 3.654851054 1660868379 9
## 1018 PTGDS Afib 0.961714682 1660868379 9
## 1019 PTGDS CAD 7.461502727 1660868379 A
## 1020 PTGDS HF 9.291574348 1660868379 A
## 1021 PTN AS 0.645350860 1360796690 7
## 1022 PTN Afib 3.257174396 1360796690 7
## 1023 PTN CAD 9.162080203 1360796690 B
## 1024 PTN HF 2.125576873 1360796690 7
## 1025 PTX3 AS 1.685545515 648026149 3
## 1026 PTX3 Afib 5.491846888 648026149 B
## 1027 PTX3 CAD 0.747766983 648026149 3
## 1028 PTX3 HF 1.380155752 648026149 3
## 1029 QPCT AS 0.812978171 286082242 2
## 1030 QPCT Afib 0.582732423 286082242 2
## 1031 QPCT CAD 4.762196875 286082242 A
## 1032 QPCT HF 10.802849440 286082242 A
## 1033 RARRES2 AS 1.847984694 1373907666 7
## 1034 RARRES2 Afib 0.674892202 1373907666 7
## 1035 RARRES2 CAD 11.557868490 1373907666 A
## 1036 RARRES2 HF 11.139461310 1373907666 A
## 1037 REG1A AS 2.654332443 327859777 2
## 1038 REG1A Afib 4.356874874 327859777 A
## 1039 REG1A CAD 9.424441942 327859777 A
## 1040 REG1A HF 16.371133410 327859777 A
## 1041 REG4 AS 1.109299844 119794017 1
## 1042 REG4 Afib 3.079698697 119794017 1
## 1043 REG4 CAD 8.797640382 119794017 A
## 1044 REG4 HF 11.026263030 119794017 A
## 1045 REN AS 2.415144094 204154819 1
## 1046 REN Afib 0.354388184 204154819 1
## 1047 REN CAD 2.626059622 204154819 1
## 1048 REN HF 6.440496844 204154819 B
## 1049 ROBO1 AS 0.369770963 569186538 3
## 1050 ROBO1 Afib 1.158137530 569186538 3
## 1051 ROBO1 CAD 1.693353517 569186538 3
## 1052 ROBO1 HF 3.910477983 569186538 3
## 1053 RSPO1 AS 0.297126772 37611350 1
## 1054 RSPO1 Afib 7.137192992 37611350 A
## 1055 RSPO1 CAD 7.580351278 37611350 A
## 1056 RSPO1 HF 9.891926392 37611350 A
## 1057 RTBDN AS 1.260737528 2631331090 19
## 1058 RTBDN Afib 0.440692722 2631331090 19
## 1059 RTBDN CAD 1.524364805 2631331090 19
## 1060 RTBDN HF 1.037553056 2631331090 19
## 1061 SCG2 AS 1.213700544 472336355 2
## 1062 SCG2 Afib 0.717628434 472336355 2
## 1063 SCG2 CAD 1.702744206 472336355 2
## 1064 SCG2 HF 2.183986289 472336355 2
## 1065 SCG3 AS 0.295590578 2320466757 15
## 1066 SCG3 Afib -1.858384846 2320466757 15
## 1067 SCG3 CAD 0.616650823 2320466757 15
## 1068 SCG3 HF 0.061536921 2320466757 15
## 1069 SCGN AS 0.284231648 1078939344 6
## 1070 SCGN Afib 0.215500066 1078939344 6
## 1071 SCGN CAD 2.631880098 1078939344 6
## 1072 SCGN HF 2.165654238 1078939344 6
## 1073 SDC1 AS 6.096011055 268940212 A
## 1074 SDC1 Afib 5.737359375 268940212 A
## 1075 SDC1 CAD 4.435939563 268940212 A
## 1076 SDC1 HF 7.909079704 268940212 A
## 1077 SDC4 AS -2.361458605 2719319304 20
## 1078 SDC4 Afib -2.311073778 2719319304 20
## 1079 SDC4 CAD -0.079125156 2719319304 20
## 1080 SDC4 HF -1.825679487 2719319304 20
## 1081 SEMA3F AS 0.958069392 540744344 3
## 1082 SEMA3F Afib 3.159125666 540744344 3
## 1083 SEMA3F CAD 3.283405942 540744344 3
## 1084 SEMA3F HF 8.683978996 540744344 B
## 1085 SERPINA12 AS 0.129584054 2257799577 14
## 1086 SERPINA12 Afib 0.573883488 2257799577 14
## 1087 SERPINA12 CAD 0.570939966 2257799577 14
## 1088 SERPINA12 HF -0.062570918 2257799577 14
## 1089 SERPINB5 AS 0.207061811 2602586714 18
## 1090 SERPINB5 Afib 0.231245500 2602586714 18
## 1091 SERPINB5 CAD -1.203326609 2602586714 18
## 1092 SERPINB5 HF -0.184871597 2602586714 18
## 1093 SERPINE1 AS -0.298454748 1324696453 7
## 1094 SERPINE1 Afib 0.161158984 1324696453 7
## 1095 SERPINE1 CAD 5.525000694 1324696453 B
## 1096 SERPINE1 HF 3.630042482 1324696453 7
## 1097 SFRP1 AS 0.048574191 1422370367 8
## 1098 SFRP1 Afib 3.881049335 1422370367 8
## 1099 SFRP1 CAD 6.517371674 1422370367 A
## 1100 SFRP1 HF 7.094566386 1422370367 A
## 1101 SFTPA1 AS 0.019729479 1740614772 10
## 1102 SFTPA1 Afib 1.280120075 1740614772 10
## 1103 SFTPA1 CAD 1.527726647 1740614772 10
## 1104 SFTPA1 HF 0.938023979 1740614772 10
## 1105 SFTPA2 AS 0.606673085 1740559685 10
## 1106 SFTPA2 Afib 11.818546070 1740559685 A
## 1107 SFTPA2 CAD 8.999689115 1740559685 A
## 1108 SFTPA2 HF 6.730065302 1740559685 A
## 1109 SFTPD AS 0.147026389 1740941300 10
## 1110 SFTPD Afib 3.576219566 1740941300 10
## 1111 SFTPD CAD 1.650881785 1740941300 10
## 1112 SFTPD HF 10.077838670 1740941300 B
## 1113 SIGLEC1 AS 0.361311396 2677680986 20
## 1114 SIGLEC1 Afib 5.515518976 2677680986 A
## 1115 SIGLEC1 CAD 10.755724850 2677680986 A
## 1116 SIGLEC1 HF 20.500940540 2677680986 A
## 1117 SLIT2 AS 0.328484540 706868387 4
## 1118 SLIT2 Afib 1.944362294 706868387 4
## 1119 SLIT2 CAD -0.180974802 706868387 4
## 1120 SLIT2 HF 0.306390609 706868387 4
## 1121 SMOC1 AS 1.163574387 2233166434 14
## 1122 SMOC1 Afib 4.106533106 2233166434 A
## 1123 SMOC1 CAD 6.482714173 2233166434 A
## 1124 SMOC1 HF 5.947204285 2233166434 A
## 1125 SMOC2 AS 3.560685186 1221728294 6
## 1126 SMOC2 Afib 2.496126289 1221728294 6
## 1127 SMOC2 CAD 7.306336622 1221728294 A
## 1128 SMOC2 HF 6.833211176 1221728294 A
## 1129 SMPDL3A AS -0.073885385 1176076192 6
## 1130 SMPDL3A Afib 1.114453642 1176076192 6
## 1131 SMPDL3A CAD -0.025307366 1176076192 6
## 1132 SMPDL3A HF 0.367911245 1176076192 6
## 1133 SORD AS -1.575816727 2313808412 15
## 1134 SORD Afib -2.677443641 2313808412 15
## 1135 SORD CAD -0.081689273 2313808412 15
## 1136 SORD HF -0.746780862 2313808412 15
## 1137 SPARC AS -0.212901562 1024346733 5
## 1138 SPARC Afib 0.404980605 1024346733 5
## 1139 SPARC CAD 1.409616103 1024346733 5
## 1140 SPARC HF 0.304192557 1024346733 5
## 1141 SPARCL1 AS 0.287844038 774089817 4
## 1142 SPARCL1 Afib 1.620184305 774089817 4
## 1143 SPARCL1 CAD -0.508970778 774089817 4
## 1144 SPARCL1 HF 1.081662810 774089817 4
## 1145 SPINK1 AS 5.198047679 1020510209 A
## 1146 SPINK1 Afib 4.019938025 1020510209 5
## 1147 SPINK1 CAD 11.342644710 1020510209 A
## 1148 SPINK1 HF 17.793821610 1020510209 A
## 1149 SPINT1 AS 3.454275580 2309629283 15
## 1150 SPINT1 Afib 4.872853635 2309629283 A
## 1151 SPINT1 CAD 6.982848821 2309629283 A
## 1152 SPINT1 HF 10.490617560 2309629283 A
## 1153 SPOCK1 AS 0.012081320 1009660935 5
## 1154 SPOCK1 Afib 2.934423437 1009660935 5
## 1155 SPOCK1 CAD 0.307771386 1009660935 5
## 1156 SPOCK1 HF -0.431560688 1009660935 5
## 1157 SPON1 AS 3.518154201 1808228976 11
## 1158 SPON1 Afib 12.402279980 1808228976 A
## 1159 SPON1 CAD 6.180625437 1808228976 A
## 1160 SPON1 HF 19.093507590 1808228976 A
## 1161 SPON2 AS 3.362041770 687783414 4
## 1162 SPON2 Afib 4.682946104 687783414 A
## 1163 SPON2 CAD 15.717617510 687783414 A
## 1164 SPON2 HF 21.881682360 687783414 A
## 1165 SPP1 AS 6.402093986 774592149 A
## 1166 SPP1 Afib 6.572383235 774592149 A
## 1167 SPP1 CAD 7.865987146 774592149 A
## 1168 SPP1 HF 14.464463720 774592149 A
## 1169 ST3GAL1 AS 0.997886225 1514563253 8
## 1170 ST3GAL1 Afib 2.241201272 1514563253 8
## 1171 ST3GAL1 CAD 0.592378605 1514563253 8
## 1172 ST3GAL1 HF 2.277291879 1514563253 8
## 1173 ST6GAL1 AS 0.725521160 677519624 3
## 1174 ST6GAL1 Afib 1.667027606 677519624 3
## 1175 ST6GAL1 CAD 13.410897790 677519624 A
## 1176 ST6GAL1 HF 17.675884400 677519624 A
## 1177 STC1 AS 2.557300169 1404950334 8
## 1178 STC1 Afib 2.100206205 1404950334 8
## 1179 STC1 CAD 7.468276165 1404950334 A
## 1180 STC1 HF 10.131769710 1404950334 A
## 1181 STC2 AS 1.263922271 1046000360 5
## 1182 STC2 Afib 5.446174493 1046000360 B
## 1183 STC2 CAD 1.301912362 1046000360 5
## 1184 STC2 HF 1.707029509 1046000360 5
## 1185 TCN2 AS 2.232771850 2813702836 22
## 1186 TCN2 Afib -0.182123476 2813702836 22
## 1187 TCN2 CAD 5.298864551 2813702836 A
## 1188 TCN2 HF 4.975948540 2813702836 A
## 1189 TEK AS 0.987352515 1551002428 9
## 1190 TEK Afib 1.202653415 1551002428 9
## 1191 TEK CAD -2.010187480 1551002428 9
## 1192 TEK HF 0.196696561 1551002428 9
## 1193 TFF1 AS 2.333880050 2780052950 21
## 1194 TFF1 Afib 2.777195931 2780052950 21
## 1195 TFF1 CAD 9.592725426 2780052950 A
## 1196 TFF1 HF 14.221342270 2780052950 A
## 1197 TFF2 AS 4.204185825 2780037025 A
## 1198 TFF2 Afib 3.765186371 2780037025 21
## 1199 TFF2 CAD 10.329517840 2780037025 A
## 1200 TFF2 HF 21.881597740 2780037025 A
## 1201 TFF3 AS 3.510389159 2780002335 21
## 1202 TFF3 Afib 8.888316922 2780002335 A
## 1203 TFF3 CAD 17.452998220 2780002335 A
## 1204 TFF3 HF 17.994946490 2780002335 A
## 1205 TFPI AS 3.294801052 436203645 2
## 1206 TFPI Afib 0.071130906 436203645 2
## 1207 TFPI CAD 5.249913448 436203645 A
## 1208 TFPI HF 7.376617633 436203645 A
## 1209 TFPI2 AS 0.322939121 1317454745 7
## 1210 TFPI2 Afib 2.954286196 1317454745 7
## 1211 TFPI2 CAD 6.985093406 1317454745 A
## 1212 TFPI2 HF 12.145018330 1317454745 A
## 1213 TGFA AS 4.367571972 319186699 A
## 1214 TGFA Afib 4.849537269 319186699 A
## 1215 TGFA CAD 16.122747460 319186699 A
## 1216 TGFA HF 16.428845310 319186699 A
## 1217 TGFB1 AS 0.484668357 2659807199 19
## 1218 TGFB1 Afib 2.725960124 2659807199 19
## 1219 TGFB1 CAD 4.382176802 2659807199 A
## 1220 TGFB1 HF 4.788940985 2659807199 A
## 1221 TGFBI AS -0.112336878 1008714625 5
## 1222 TGFBI Afib -0.256814314 1008714625 5
## 1223 TGFBI CAD -0.955448086 1008714625 5
## 1224 TGFBI HF 0.482533317 1008714625 5
## 1225 TGFBR3 AS 1.651462821 91680343 1
## 1226 TGFBR3 Afib 3.080239445 91680343 1
## 1227 TGFBR3 CAD 0.088609897 91680343 1
## 1228 TGFBR3 HF 4.560633746 91680343 B
## 1229 THBS4 AS 0.125752052 952676948 5
## 1230 THBS4 Afib 0.476079080 952676948 5
## 1231 THBS4 CAD -0.072742520 952676948 5
## 1232 THBS4 HF 1.368761615 952676948 5
## 1233 THPO AS -0.256807355 674961234 3
## 1234 THPO Afib -0.166280864 674961234 3
## 1235 THPO CAD 1.767902362 674961234 3
## 1236 THPO HF 1.023523517 674961234 3
## 1237 TIMP1 AS 2.475802064 2881300995 23
## 1238 TIMP1 Afib 7.937654133 2881300995 A
## 1239 TIMP1 CAD 12.379972730 2881300995 A
## 1240 TIMP1 HF 26.426840370 2881300995 A
## 1241 TIMP3 AS -0.678536261 2815897538 22
## 1242 TIMP3 Afib -0.034110457 2815897538 22
## 1243 TIMP3 CAD 3.558248280 2815897538 22
## 1244 TIMP3 HF 1.144097595 2815897538 22
## 1245 TIMP4 AS 1.791082975 502742367 3
## 1246 TIMP4 Afib 10.073465810 502742367 A
## 1247 TIMP4 CAD 5.329916770 502742367 A
## 1248 TIMP4 HF 14.593789050 502742367 A
## 1249 TINAGL1 AS 1.548163976 31576485 1
## 1250 TINAGL1 Afib 5.071582542 31576485 A
## 1251 TINAGL1 CAD 0.881931259 31576485 1
## 1252 TINAGL1 HF 4.810055518 31576485 A
## 1253 TNC AS 0.808273313 1638912862 9
## 1254 TNC Afib 13.468590930 1638912862 A
## 1255 TNC CAD 5.497395408 1638912862 A
## 1256 TNC HF 15.405204010 1638912862 A
## 1257 TNF AS 3.649923642 1084862708 6
## 1258 TNF Afib 5.439627981 1084862708 A
## 1259 TNF CAD 10.396745230 1084862708 A
## 1260 TNF HF 13.774180380 1084862708 A
## 1261 TNFRSF10B AS 4.468926844 1404128538 A
## 1262 TNFRSF10B Afib 8.107790353 1404128538 A
## 1263 TNFRSF10B CAD 23.329993620 1404128538 A
## 1264 TNFRSF10B HF 29.491277080 1404128538 A
## 1265 TNFRSF10C AS -0.275440711 1404211326 8
## 1266 TNFRSF10C Afib -0.098858963 1404211326 8
## 1267 TNFRSF10C CAD 2.111654673 1404211326 8
## 1268 TNFRSF10C HF 5.273427685 1404211326 B
## 1269 TNFRSF11B AS 4.437871182 1500031962 A
## 1270 TNFRSF11B Afib 2.348202156 1500031962 8
## 1271 TNFRSF11B CAD 13.216988210 1500031962 A
## 1272 TNFRSF11B HF 16.300519890 1500031962 A
## 1273 TNFRSF19 AS 1.323855450 2073062124 13
## 1274 TNFRSF19 Afib 6.462407927 2073062124 A
## 1275 TNFRSF19 CAD 8.346159761 2073062124 A
## 1276 TNFRSF19 HF 14.514806650 2073062124 A
## 1277 TNFRSF9 AS 6.944366237 7915871 A
## 1278 TNFRSF9 Afib 7.615589493 7915871 A
## 1279 TNFRSF9 CAD 14.414073450 7915871 A
## 1280 TNFRSF9 HF 36.150458030 7915871 A
## 1281 TNFSF11 AS -0.346821393 2092054490 13
## 1282 TNFSF11 Afib 0.078590295 2092054490 13
## 1283 TNFSF11 CAD -2.739330693 2092054490 13
## 1284 TNFSF11 HF -1.282900323 2092054490 13
## 1285 TNFSF12 AS -1.415961189 2464623678 17
## 1286 TNFSF12 Afib -2.609464311 2464623678 17
## 1287 TNFSF12 CAD -1.704124053 2464623678 17
## 1288 TNFSF12 HF -3.492882570 2464623678 17
## 1289 TNFSF13 AS 2.243028652 2464632912 17
## 1290 TNFSF13 Afib 5.448458859 2464632912 A
## 1291 TNFSF13 CAD 2.297059097 2464632912 17
## 1292 TNFSF13 HF 11.015359950 2464632912 A
## 1293 TNFSF13B AS 0.402914553 2157742994 13
## 1294 TNFSF13B Afib 3.824649983 2157742994 13
## 1295 TNFSF13B CAD 5.264926057 2157742994 A
## 1296 TNFSF13B HF 20.500179340 2157742994 A
## 1297 TNFSF14 AS 0.126769665 2625166865 19
## 1298 TNFSF14 Afib 1.207967377 2625166865 19
## 1299 TNFSF14 CAD 4.308969153 2625166865 B
## 1300 TNFSF14 HF 3.225580756 2625166865 19
## 1301 TPSAB1 AS 0.679790527 2368674183 16
## 1302 TPSAB1 Afib 0.640603750 2368674183 16
## 1303 TPSAB1 CAD 0.102317309 2368674183 16
## 1304 TPSAB1 HF -0.108474057 2368674183 16
## 1305 TREM2 AS 3.071025283 1094445649 6
## 1306 TREM2 Afib 3.504668319 1094445649 6
## 1307 TREM2 CAD 10.442671480 1094445649 A
## 1308 TREM2 HF 12.315903300 1094445649 A
## 1309 TSLP AS -0.178310600 983755699 5
## 1310 TSLP Afib 0.264902658 983755699 5
## 1311 TSLP CAD 0.553795435 983755699 5
## 1312 TSLP HF -0.015343792 983755699 5
## 1313 VCAN AS 2.590075349 956157255 5
## 1314 VCAN Afib 6.540862677 956157255 A
## 1315 VCAN CAD 0.422209274 956157255 5
## 1316 VCAN HF 5.838055628 956157255 A
## 1317 VEGFA AS 0.610762792 1097057327 6
## 1318 VEGFA Afib 3.094820521 1097057327 6
## 1319 VEGFA CAD 8.260212697 1097057327 A
## 1320 VEGFA HF 9.677413179 1097057327 A
## 1321 VEGFC AS -0.917539631 863300020 4
## 1322 VEGFC Afib 0.193048127 863300020 4
## 1323 VEGFC CAD 1.514535043 863300020 4
## 1324 VEGFC HF 0.909711285 863300020 4
## 1325 VWA1 AS 0.981310756 1434861 1
## 1326 VWA1 Afib 1.425488642 1434861 1
## 1327 VWA1 CAD 8.855038349 1434861 A
## 1328 VWA1 HF 7.936534838 1434861 A
## 1329 VWF AS 0.865367744 1930663775 12
## 1330 VWF Afib 1.019324915 1930663775 12
## 1331 VWF CAD 1.489707075 1930663775 12
## 1332 VWF HF 4.566604935 1930663775 B
## 1333 WFDC2 AS 9.135762157 2719463769 A
## 1334 WFDC2 Afib 20.569186790 2719463769 A
## 1335 WFDC2 CAD 37.866388240 2719463769 A
## 1336 WFDC2 HF 64.383248350 2719463769 A
## 1337 WFIKKN1 AS -0.481357346 2368063043 16
## 1338 WFIKKN1 Afib -2.461512144 2368063043 16
## 1339 WFIKKN1 CAD -8.815504851 2368063043 A
## 1340 WFIKKN1 HF -5.750333416 2368063043 A
## 1341 WNT9A AS 3.263935898 227918656 1
## 1342 WNT9A Afib 6.480510027 227918656 A
## 1343 WNT9A CAD 3.134600534 227918656 1
## 1344 WNT9A HF 6.745957958 227918656 A
## 1345 XCL1 AS 3.176063286 168576605 1
## 1346 XCL1 Afib 2.226335404 168576605 1
## 1347 XCL1 CAD 5.552076181 168576605 A
## 1348 XCL1 HF 8.920356834 168576605 Acat("\nFull Ssec Steatosite details for overlapping genes:\n")##
## Full Ssec Steatosite details for overlapping genes:print(as.data.frame(Ssec_Olink_overlap_info))## human_gene mouse_gene Ssec_mean_rho Ssec_median_rho Ssec_sig_count n
## 1 CHGB Chgb 0.3704266212 3.746260e-01 3 578
## 2 GHRL Ghrl 0.2891858778 3.729252e-01 9 578
## 3 THBS4 Thbs4 0.1715103592 3.680820e-01 7 578
## 4 LPL Lpl 0.2420576328 3.620381e-01 78 578
## 5 IGFBP6 Igfbp6 0.1268625900 3.618516e-01 3 578
## 6 CCDC80 Ccdc80 0.2000321440 3.600224e-01 293 578
## 7 CCL17 Ccl17 0.3536655270 3.571006e-01 5 578
## 8 ADM Adm 0.2522890457 3.568626e-01 97 578
## 9 IL7 Il7 0.1923858916 3.558383e-01 8 578
## 10 LIF Lif 0.2586055872 3.546917e-01 13 578
## 11 CTF1 Ctf1 0.1946497640 3.543348e-01 33 578
## 12 GRN Grn 0.0919201143 3.542286e-01 516 578
## 13 CXCL10 Cxcl10 0.1569401254 3.539231e-01 218 578
## 14 SMPDL3A Smpdl3a 0.2457230710 3.539009e-01 12 578
## 15 CCL5 Ccl5 0.2274446946 3.537166e-01 42 578
## 16 ENPP5 Enpp5 0.2536824933 3.536814e-01 168 578
## 17 IGFBP1 Igfbp1 0.1453472974 3.534097e-01 281 578
## 18 ANGPTL4 Angptl4 0.1565303653 3.523656e-01 140 578
## 19 DCN Dcn 0.1278925258 3.520297e-01 312 578
## 20 SPON2 Spon2 0.1556387778 3.517217e-01 172 578
## 21 NRCAM Nrcam 0.2422403813 3.513442e-01 19 578
## 22 MATN2 Matn2 0.2136338728 3.511958e-01 34 578
## 23 CXCL14 Cxcl14 0.1937467736 3.511387e-01 33 578
## 24 REN Ren1 0.1979016968 3.510218e-01 72 578
## 25 LBP Lbp 0.1967855769 3.504549e-01 88 578
## 26 CD163 Cd163 0.1639920566 3.503219e-01 90 578
## 27 SCGN Scgn 0.0768634231 3.500775e-01 10 578
## 28 IFNG Ifng 0.1190095962 3.495981e-01 9 578
## 29 IGFBP7 Igfbp7 0.1318098551 3.495603e-01 353 578
## 30 PRELP Prelp 0.0861858601 3.493363e-01 303 578
## 31 FAP Fap 0.1467900824 3.489843e-01 3 578
## 32 VCAN Vcan 0.2075136321 3.489468e-01 5 578
## 33 REG1A Reg1 0.2451426025 3.487195e-01 7 578
## 34 CXCL16 Cxcl16 0.1277990368 3.487134e-01 157 578
## 35 TSLP Tslp 0.1770935097 3.486100e-01 19 578
## 36 FOLR1 Folr1 0.1952362955 3.483612e-01 12 578
## 37 TGFBI Tgfbi 0.1776256744 3.480835e-01 118 578
## 38 PNLIPRP2 Pnliprp2 0.3479179863 3.479180e-01 2 578
## 39 EFNA1 Efna1 0.1302077488 3.478513e-01 164 578
## 40 CXCL13 Cxcl13 0.2033318908 3.475341e-01 64 578
## 41 SPINT1 Spint1 0.1282148680 3.474408e-01 33 578
## 42 GKN1 Gkn1 0.1855625917 3.471481e-01 21 578
## 43 C1QA C1qa 0.1282309882 3.470267e-01 279 578
## 44 PRSS2 Prss2 0.2557070869 3.467245e-01 7 578
## 45 LGALS3 Lgals3 0.1267301776 3.465985e-01 121 578
## 46 ST3GAL1 St3gal1 0.1399418607 3.464878e-01 81 578
## 47 NGF Ngf 0.0712618458 3.464634e-01 20 578
## 48 PLA2G7 Pla2g7 0.1063227258 3.463560e-01 120 578
## 49 MMP1 Mmp1b 0.2011999919 3.462420e-01 14 578
## 50 GFOD2 Gfod2 0.1260763030 3.461798e-01 181 578
## 51 CD40 Cd40 0.2201569367 3.454519e-01 21 578
## 52 CHRDL2 Chrdl2 0.1592448076 3.453973e-01 18 578
## 53 PON3 Pon3 0.1641444992 3.453470e-01 33 578
## 54 COL1A1 Col1a1 0.1373204404 3.452560e-01 29 578
## 55 SFTPD Sftpd 0.3451897684 3.451174e-01 3 578
## 56 CPXM1 Cpxm1 0.2680084192 3.449133e-01 7 578
## 57 CCL21 Ccl21b 0.1307802522 3.447660e-01 82 578
## 58 CNTN4 Cntn4 0.0564685580 3.444045e-01 7 578
## 59 CX3CL1 Cx3cl1 0.1672917122 3.443357e-01 11 578
## 60 SCG3 Scg3 0.3558013170 3.441316e-01 9 578
## 61 TGFB1 Tgfb1 0.1016409187 3.441291e-01 313 578
## 62 LGALS1 Lgals1 0.0730457118 3.439250e-01 177 578
## 63 PDGFC Pdgfc 0.1384797523 3.437570e-01 77 578
## 64 IL1RN Il1rn 0.1538162613 3.435552e-01 63 578
## 65 EPHB6 Ephb6 0.1265338780 3.435311e-01 12 578
## 66 BGN Bgn 0.0811021439 3.434490e-01 265 578
## 67 PSPN Pspn 0.1622408763 3.433421e-01 11 578
## 68 CCL15 Ccl6 0.1174525909 3.431773e-01 180 578
## 69 CCL23 Ccl6 0.1174525909 3.431773e-01 180 578
## 70 IL1B Il1b 0.1107009725 3.431108e-01 28 578
## 71 TNFSF13 Tnfsf13 0.1539708314 3.428799e-01 45 578
## 72 PTGDS Ptgds 0.0338522400 3.428495e-01 31 578
## 73 LIFR Lifr 0.1232593394 3.426092e-01 99 578
## 74 MMP8 Mmp8 0.2944760372 3.425382e-01 11 578
## 75 KDR Kdr 0.1208245589 3.423934e-01 196 578
## 76 PAPPA Pappa 0.1016007412 3.423679e-01 22 578
## 77 CTSL Ctsl 0.0869464819 3.422849e-01 220 578
## 78 CGREF1 Cgref1 0.0701044826 3.422592e-01 266 578
## 79 IL1R1 Il1r1 0.1138139973 3.422499e-01 218 578
## 80 NID1 Nid1 0.0781887426 3.421590e-01 100 578
## 81 STC2 Stc2 0.1157486956 3.421404e-01 6 578
## 82 FGF21 Fgf21 0.1283368911 3.421135e-01 163 578
## 83 IL1RL1 Il1rl1 0.1867437705 3.420005e-01 21 578
## 84 SPINK1 Spink1 0.1461589997 3.416901e-01 21 578
## 85 EFEMP1 Efemp1 0.0475365268 3.415559e-01 29 578
## 86 MFGE8 Mfge8 0.0813260777 3.415443e-01 21 578
## 87 MMP9 Mmp9 0.1688262287 3.414300e-01 23 578
## 88 CTSB Ctsb 0.0733682124 3.410274e-01 207 578
## 89 PRSS8 Prss8 0.0559324083 3.410076e-01 141 578
## 90 PLAT Plat 0.1153409619 3.408876e-01 21 578
## 91 TINAGL1 Tinagl1 0.0864647807 3.408117e-01 146 578
## 92 GDF2 Gdf2 0.0703248533 3.407021e-01 166 578
## 93 BTC Btc 0.1030865494 3.406193e-01 15 578
## 94 TNFSF13B Tnfsf13b 0.0732284684 3.405704e-01 10 578
## 95 TCN2 Tcn2 0.1077747294 3.403555e-01 75 578
## 96 ANGPTL1 Angptl1 0.1208187958 3.402414e-01 12 578
## 97 CST7 Cst7 0.2465498667 3.401865e-01 7 578
## 98 LTBP3 Ltbp3 0.0962244409 3.399683e-01 8 578
## 99 CXCL9 Cxcl9 0.1325385118 3.398820e-01 61 578
## 100 NUCB2 Nucb2 0.1292383756 3.398680e-01 43 578
## 101 PLA2G15 Pla2g15 0.0553425281 3.397198e-01 57 578
## 102 ANGPTL2 Angptl2 0.1528384981 3.396720e-01 17 578
## 103 C2 C2 0.1161095627 3.396277e-01 39 578
## 104 PLA2G2A Pla2g2a 0.1582512674 3.396126e-01 11 578
## 105 GGH Ggh 0.0946468180 3.395437e-01 67 578
## 106 CAPG Capg 0.0821829478 3.395111e-01 23 578
## 107 C1QTNF1 C1qtnf1 0.0557512714 3.392393e-01 141 578
## 108 TNFRSF9 Tnfrsf9 0.0384221570 3.391599e-01 33 578
## 109 ICAM4 Icam4 0.1492304788 3.391004e-01 42 578
## 110 FGF5 Fgf5 0.0144030142 3.389057e-01 15 578
## 111 LEPR Lepr 0.0376475659 3.389010e-01 229 578
## 112 CSF1 Csf1 0.0229589680 3.388893e-01 17 578
## 113 TNC Tnc 0.3684554951 3.388637e-01 3 578
## 114 CCL2 Ccl2 0.0919376060 3.387855e-01 27 578
## 115 ANGPT2 Angpt2 0.0847301626 3.385244e-01 68 578
## 116 QPCT Qpct 0.0459476484 3.385078e-01 16 578
## 117 CD14 Cd14 0.0653358981 3.385020e-01 211 578
## 118 MIA Mia 0.0890083768 3.384846e-01 29 578
## 119 PTN Ptn 0.1410600932 3.384006e-01 23 578
## 120 CRELD2 Creld2 0.0868774310 3.382396e-01 44 578
## 121 FST Fst 0.0928871035 3.381043e-01 50 578
## 122 ANGPT1 Angpt1 0.0846404388 3.380343e-01 42 578
## 123 CNPY2 Cnpy2 0.0978572040 3.378931e-01 37 578
## 124 JCHAIN Jchain 0.0685165749 3.378873e-01 65 578
## 125 NPTN Nptn 0.0309323728 3.378057e-01 9 578
## 126 EREG Ereg 0.0947112649 3.376751e-01 11 578
## 127 ACE2 Ace2 0.0757540127 3.375980e-01 15 578
## 128 SDC1 Sdc1 0.0427630655 3.375140e-01 40 578
## 129 MMP7 Mmp7 0.0865976162 3.370346e-01 16 578
## 130 GAS6 Gas6 0.0274939323 3.370334e-01 36 578
## 131 AMBP Ambp 0.0897893354 3.369635e-01 40 578
## 132 CHI3L1 Chi3l1 0.0202877766 3.369145e-01 11 578
## 133 PGF Pgf 0.0852646247 3.367675e-01 48 578
## 134 KAZALD1 Kazald1 0.1117760140 3.366299e-01 6 578
## 135 CCL22 Ccl22 0.1751436254 3.365470e-01 12 578
## 136 CCL19 Ccl19 0.0457891091 3.364793e-01 59 578
## 137 LY96 Ly96 0.0452462163 3.363662e-01 52 578
## 138 SIGLEC1 Siglec1 0.0286865152 3.363545e-01 88 578
## 139 PLTP Pltp 0.0113888322 3.363382e-01 72 578
## 140 FAM3C Fam3c 0.0544696770 3.360582e-01 51 578
## 141 VWA1 Vwa1 0.0107500960 3.359766e-01 27 578
## 142 IGFBP4 Igfbp4 0.0085752416 3.357643e-01 139 578
## 143 IGFBP3 Igfbp3 0.0722338011 3.356908e-01 35 578
## 144 AOC1 Aoc1 0.0432354961 3.355847e-01 9 578
## 145 CCL8 Ccl8 0.1625477680 3.354470e-01 4 578
## 146 COL4A1 Col4a1 0.0160924188 3.350924e-01 61 578
## 147 CXCL11 Cxcl11 0.0464455687 3.350294e-01 14 578
## 148 SERPINE1 Serpine1 0.0496604020 3.349722e-01 14 578
## 149 CANT1 Cant1 0.0801883950 3.348871e-01 18 578
## 150 IL18BP Il18bp 0.0256630858 3.348579e-01 87 578
## 151 PLAUR Plaur 0.0549123906 3.347879e-01 5 578
## 152 WFIKKN1 Wfikkn1 0.1124630804 3.347786e-01 12 578
## 153 LCN2 Lcn2 0.0672901809 3.347214e-01 38 578
## 154 CST3 Cst3 0.0457396774 3.346515e-01 38 578
## 155 IL10 Il10 0.0531005612 3.346305e-01 26 578
## 156 LAMA4 Lama4 0.1239806766 3.344952e-01 9 578
## 157 PIGR Pigr 0.0162554363 3.344497e-01 165 578
## 158 CCL4 Ccl4 0.0855140906 3.344240e-01 8 578
## 159 DAG1 Dag1 0.0097404854 3.344205e-01 192 578
## 160 SPP1 Spp1 0.0067768911 3.343365e-01 49 578
## 161 COMP Comp 0.0382926820 3.342362e-01 11 578
## 162 LTBP2 Ltbp2 0.0523745469 3.341347e-01 9 578
## 163 CTSD Ctsd 0.0663833080 3.340787e-01 42 578
## 164 TEK Tek 0.0301314006 3.340227e-01 73 578
## 165 CPA2 Cpa2 0.0388048037 3.340064e-01 9 578
## 166 IL17RB Il17rb 0.0135149795 3.338501e-01 31 578
## 167 ROBO1 Robo1 0.0120190691 3.336693e-01 52 578
## 168 TFPI2 Tfpi2 0.0248393567 3.335748e-01 58 578
## 169 ADAM23 Adam23 0.0085238637 3.335480e-01 230 578
## 170 IL16 Il16 0.0263876203 3.334908e-01 32 578
## 171 ANG Ang2 0.0692925034 3.334628e-01 15 578
## 172 CCL18 Ccl3 0.0321877312 3.330417e-01 41 578
## 173 CCL3 Ccl3 0.0321877312 3.330417e-01 41 578
## 174 ITIH3 Itih3 0.0418950773 3.330207e-01 58 578
## 175 IL1RAP Il1rap 0.0004903776 3.328761e-01 309 578
## 176 IL18 Il18 0.0060345055 3.327653e-01 145 578
## 177 CTRB1 Ctrb1 0.0419201845 3.326836e-01 12 578
## 178 TFPI Tfpi 0.0571969563 3.326719e-01 19 578
## 179 NID2 Nid2 0.0066506488 3.326626e-01 57 578
## 180 SFTPA2 Sftpa1 0.0303394915 3.326416e-01 13 578
## 181 SFTPA1 Sftpa1 0.0303394915 3.326416e-01 13 578
## 182 OLR1 Olr1 0.0074441548 6.565064e-03 8 578
## 183 CHRDL1 Chrdl1 -0.0008690367 2.883569e-03 12 578
## 184 TFF1 Tff1 0.0039067538 2.530714e-03 8 578
## 185 NRTN Nrtn 0.0014279848 2.103186e-03 6 578
## 186 DKKL1 Dkkl1 -0.0021341809 1.270310e-03 14 578
## 187 MANF Manf -0.0026385963 1.081335e-03 14 578
## 188 IL15RA Il15ra 0.0081700547 1.018341e-03 12 578
## 189 PDGFA Pdgfa -0.0004778393 3.009561e-04 22 578
## 190 ENPP2 Enpp2 0.0033388426 2.239642e-04 86 578
## 191 CCL24 Ccl24 0.0029634084 -1.399786e-05 214 578
## 192 TNFSF12 Tnfsf12 0.0015415697 -4.759239e-04 30 578
## 193 OGN Ogn -0.0177133712 -5.494236e-04 6 578
## 194 MYOC Myoc 0.0053367582 -5.669212e-04 6 578
## 195 PLAU Plau -0.0013809032 -6.369092e-04 10 578
## 196 TFF2 Tff2 -0.0077233183 -6.648983e-04 8 578
## 197 RSPO1 Rspo1 0.0012283250 -1.896730e-03 8 578
## 198 CRLF1 Crlf1 -0.0078754985 -4.076933e-03 14 578
## 199 TNF Tnf -0.0106096396 -6.550975e-03 10 578
## 200 TIMP4 Timp4 -0.0172126804 -7.596817e-03 6 578
## 201 GZMA Gzma -0.0061153358 -1.037945e-02 4 578
## 202 PM20D1 Pm20d1 -0.0065955993 -3.325028e-01 39 578
## 203 CREG1 Creg1 -0.0017963918 -3.325390e-01 101 578
## 204 MIF Mif -0.0325921736 -3.327699e-01 77 578
## 205 IL34 Il34 -0.0071912167 -3.328014e-01 75 578
## 206 AGRN Agrn -0.0092213754 -3.329379e-01 107 578
## 207 SERPINB5 Serpinb5 -0.0236848582 -3.330475e-01 30 578
## 208 IL15 Il15 -0.0084525008 -3.330709e-01 57 578
## 209 P4HB P4hb -0.0534915293 -3.331432e-01 19 578
## 210 MFAP5 Mfap5 -0.0746321758 -3.331642e-01 15 578
## 211 COL6A3 Col6a3 -0.0324019600 -3.331735e-01 54 578
## 212 DPP4 Dpp4 -0.0049878466 -3.332423e-01 229 578
## 213 MDK Mdk -0.0457461610 -3.333112e-01 7 578
## 214 OMD Omd -0.0308701219 -3.334406e-01 39 578
## 215 NBL1 Nbl1 -0.0266761852 -3.334780e-01 15 578
## 216 SCG2 Scg2 -0.1182172171 -3.335001e-01 6 578
## 217 FAM3B Fam3b -0.0435600427 -3.336285e-01 16 578
## 218 FGF23 Fgf23 -0.1359840982 -3.336436e-01 6 578
## 219 GDF15 Gdf15 -0.0373088769 -3.336961e-01 33 578
## 220 CCL28 Ccl28 -0.0737933986 -3.337043e-01 15 578
## 221 VEGFC Vegfc -0.0151725252 -3.339819e-01 85 578
## 222 HSPG2 Hspg2 -0.0227991334 -3.340029e-01 87 578
## 223 CXCL12 Cxcl12 -0.0328738245 -3.341324e-01 96 578
## 224 TGFA Tgfa -0.0246956783 -3.342805e-01 27 578
## 225 PTX3 Ptx3 -0.0718557458 -3.342829e-01 13 578
## 226 CPA1 Cpa1 -0.0874026701 -3.343739e-01 8 578
## 227 MSLN Msln -0.0468244914 -3.344135e-01 7 578
## 228 CEACAM1 Ceacam10 -0.0612219283 -3.346141e-01 15 578
## 229 EDIL3 Edil3 -0.1103252064 -3.348859e-01 20 578
## 230 IL6 Il6 -0.0598375993 -3.349384e-01 12 578
## 231 TNFRSF19 Tnfrsf19 -0.0413068623 -3.351216e-01 73 578
## 232 BMP4 Bmp4 -0.0219414172 -3.351402e-01 62 578
## 233 TNFRSF11B Tnfrsf11b -0.0757148524 -3.351566e-01 25 578
## 234 SEMA3F Sema3f -0.0107804966 -3.352335e-01 47 578
## 235 BMP6 Bmp6 -0.0329812332 -3.353595e-01 38 578
## 236 KLK11 Klk11 -0.0296959262 -3.353736e-01 20 578
## 237 B4GALT1 B4galt1 -0.0911283634 -3.353980e-01 16 578
## 238 SDC4 Sdc4 -0.0426127195 -3.354785e-01 83 578
## 239 SPARCL1 Sparcl1 -0.0720527716 -3.355963e-01 20 578
## 240 DPT Dpt -0.0665123915 -3.356080e-01 42 578
## 241 GALNT2 Galnt2 -0.0264138959 -3.358343e-01 104 578
## 242 THPO Thpo -0.0387910007 -3.358728e-01 20 578
## 243 MASP1 Masp1 -0.0135827560 -3.360046e-01 61 578
## 244 TIMP1 Timp1 -0.0776141550 -3.360956e-01 15 578
## 245 CXCL6 Cxcl5 -0.0178153463 -3.364479e-01 19 578
## 246 TNFRSF10C Tnfrsf22 -0.1685737515 -3.364513e-01 15 578
## 247 TNFRSF10B Tnfrsf22 -0.1685737515 -3.364513e-01 15 578
## 248 SPON1 Spon1 -0.0776393929 -3.364747e-01 5 578
## 249 APOM Apom -0.0336550590 -3.366987e-01 91 578
## 250 RARRES2 Rarres2 -0.0158878765 -3.367033e-01 89 578
## 251 VWF Vwf -0.0545540108 -3.367698e-01 49 578
## 252 TNFSF14 Tnfsf14 -0.0095614738 -3.367757e-01 31 578
## 253 HBEGF Hbegf -0.0652218331 -3.369681e-01 134 578
## 254 ACAN Acan -0.0428854385 -3.370264e-01 7 578
## 255 CLEC11A Clec11a -0.0448478765 -3.370474e-01 16 578
## 256 ARTN Artn -0.0781899097 -3.371665e-01 13 578
## 257 AFP Afp -0.0518518852 -3.376797e-01 14 578
## 258 HYAL1 Hyal1 -0.1016368866 -3.377473e-01 53 578
## 259 EGFL7 Egfl7 -0.0665033735 -3.377741e-01 32 578
## 260 CCL11 Ccl11 -0.0418800635 -3.378500e-01 16 578
## 261 SPOCK1 Spock1 -0.1007109366 -3.380028e-01 25 578
## 262 ST6GAL1 St6gal1 -0.0330889937 -3.381941e-01 489 578
## 263 TREM2 Trem2 -0.0571725196 -3.382583e-01 12 578
## 264 REG4 Reg4 -0.0435385685 -3.384123e-01 22 578
## 265 INHBC Inhbc -0.0403585961 -3.384309e-01 260 578
## 266 AGR2 Agr2 -0.0521766148 -3.386444e-01 14 578
## 267 ANGPTL3 Angptl3 -0.0505319721 -3.388823e-01 247 578
## 268 GPC1 Gpc1 -0.0365204691 -3.390094e-01 58 578
## 269 NCAN Ncan -0.1715506102 -3.390503e-01 23 578
## 270 CXADR Cxadr -0.0435059487 -3.391949e-01 233 578
## 271 SPARC Sparc -0.1110238404 -3.395647e-01 58 578
## 272 F7 F7 -0.1353346073 -3.395997e-01 23 578
## 273 WNT9A Wnt9a -0.0443663672 -3.401037e-01 16 578
## 274 SLIT2 Slit2 -0.1478284799 -3.405785e-01 22 578
## 275 CD46 Cd46 -0.0618985295 -3.406239e-01 19 578
## 276 CXCL1 Cxcl1 -0.0588138032 -3.406682e-01 182 578
## 277 WFDC2 Wfdc2 -0.0958059211 -3.406775e-01 8 578
## 278 RTBDN Rtbdn -0.1173922832 -3.408001e-01 18 578
## 279 ADAMTS8 Adamts8 -0.0812073040 -3.408280e-01 18 578
## 280 ENTPD5 Entpd5 -0.0542528429 -3.409446e-01 177 578
## 281 SMOC2 Smoc2 -0.2681415743 -3.410158e-01 15 578
## 282 PROC Proc -0.0588126442 -3.410508e-01 385 578
## 283 CALCA Calca -0.1396250096 -3.410532e-01 23 578
## 284 MMP12 Mmp12 -0.1100555847 -3.411116e-01 17 578
## 285 ADAMTS15 Adamts15 -0.0672981623 -3.412491e-01 36 578
## 286 ANGPTL7 Angptl7 -0.0269846406 -3.412608e-01 13 578
## 287 IL1R2 Il1r2 -0.0837658088 -3.413588e-01 8 578
## 288 SMOC1 Smoc1 -0.1596024020 -3.414124e-01 22 578
## 289 CD40LG Cd40lg -0.1633257330 -3.416552e-01 22 578
## 290 SFRP1 Sfrp1 -0.1184478540 -3.417437e-01 128 578
## 291 NAMPT Nampt -0.0882758763 -3.419653e-01 119 578
## 292 IGFBP2 Igfbp2 -0.0532643590 -3.421024e-01 28 578
## 293 NELL2 Nell2 -0.0798950638 -3.421148e-01 10 578
## 294 PDGFB Pdgfb -0.1452605945 -3.421392e-01 17 578
## 295 SERPINA12 Serpina12 -0.1350743437 -3.421473e-01 45 578
## 296 BPIFB1 Bpifb1 -0.1279640275 -3.423060e-01 13 578
## 297 GDNF Gdnf -0.2500174975 -3.423760e-01 7 578
## 298 DKK3 Dkk3 -0.1237347804 -3.431015e-01 59 578
## 299 MUC13 Muc13 -0.1432097760 -3.431413e-01 10 578
## 300 CHL1 Chl1 -0.0848900929 -3.439054e-01 16 578
## 301 GP2 Gp2 -0.0620353942 -3.439474e-01 5 578
## 302 FRZB Frzb -0.1147412097 -3.440067e-01 6 578
## 303 VEGFA Vegfa -0.1684008555 -3.441443e-01 126 578
## 304 IL33 Il33 -0.1969702096 -3.442214e-01 18 578
## 305 TIMP3 Timp3 -0.0734806190 -3.442469e-01 58 578
## 306 FGF19 Fgf15 -0.0678009331 -3.443019e-01 5 578
## 307 FETUB Fetub -0.1970303218 -3.443232e-01 23 578
## 308 TFF3 Tff3 -0.0980222611 -3.445876e-01 22 578
## 309 ASAH2 Asah2 -0.1023455915 -3.450448e-01 23 578
## 310 COL9A1 Col9a1 -0.2020312966 -3.457495e-01 29 578
## 311 F9 F9 -0.1798353146 -3.457938e-01 20 578
## 312 DPP7 Dpp7 -0.1348623111 -3.461938e-01 101 578
## 313 BCAN Bcan -0.3484676812 -3.470875e-01 7 578
## 314 CCL20 Ccl20 -0.0949789682 -3.474828e-01 8 578
## 315 NTF3 Ntf3 -0.0852410965 -3.476837e-01 5 578
## 316 HSP90B1 Hsp90b1 -0.1177927828 -3.479086e-01 23 578
## 317 TPSAB1 Tpsab1 -0.1331698072 -3.479507e-01 28 578
## 318 APOH Apoh -0.0998846366 -3.482679e-01 25 578
## 319 LTA Lta -0.1436791344 -3.485960e-01 10 578
## 320 FSTL3 Fstl3 -0.3486553167 -3.486483e-01 4 578
## 321 MEPE Mepe -0.1649974456 -3.489386e-01 7 578
## 322 STC1 Stc1 -0.1794865514 -3.490905e-01 4 578
## 323 LEP Lep -0.2794433343 -3.496957e-01 9 578
## 324 COL18A1 Col18a1 -0.1647844099 -3.499907e-01 138 578
## 325 SORD Sord -0.0911111836 -3.501680e-01 200 578
## 326 IL2 Il2 -0.2114604003 -3.505101e-01 15 578
## 327 IGFBPL1 Igfbpl1 -0.1461709399 -3.511260e-01 13 578
## 328 MATN3 Matn3 -0.1101740290 -3.515329e-01 6 578
## 329 TGFBR3 Tgfbr3 -0.1019963850 -3.516836e-01 16 578
## 330 CRTAC1 Crtac1 -0.3524535090 -3.524535e-01 2 578
## 331 CDSN Cdsn -0.1174444309 -3.529772e-01 6 578
## 332 XCL1 Xcl1 -0.2342046907 -3.540643e-01 11 578
## 333 FASLG Fasl -0.1768203276 -3.552889e-01 4 578
## 334 CPE Cpe -0.1881559378 -3.628073e-01 4 578
## 335 FGF2 Fgf2 -0.1589442447 -3.681426e-01 3 578
## 336 ESM1 Esm1 -0.3726942822 -3.767117e-01 3 578
## 337 TNFSF11 Tnfsf11 -0.1652942693 -4.000728e-01 3 578
## fibrosis_rho fibrosis_p fibrosis_p_adj saf_rho saf_p saf_p_adj
## 1 0.156 1.63e-04 2.445000e-04 0.008 8.51e-01 9.119965e-01
## 2 0.062 1.37e-01 1.607582e-01 -0.021 6.20e-01 7.425581e-01
## 3 0.155 1.83e-04 2.736145e-04 0.025 5.46e-01 6.793852e-01
## 4 0.192 3.38e-06 5.635360e-06 0.350 4.30e-18 7.972200e-16
## 5 0.462 7.56e-32 3.385565e-31 0.026 5.27e-01 6.605344e-01
## 6 0.637 4.15e-67 8.185213e-66 0.184 8.95e-06 6.481758e-05
## 7 0.303 1.00e-13 2.260976e-13 0.117 4.68e-03 1.460727e-02
## 8 -0.063 1.31e-01 1.541079e-01 -0.005 9.08e-01 9.500181e-01
## 9 0.451 2.57e-30 1.058840e-29 0.146 4.12e-04 1.827388e-03
## 10 0.527 1.20e-42 7.833803e-42 0.143 5.41e-04 2.332591e-03
## 11 0.233 1.51e-08 2.782843e-08 0.003 9.38e-01 9.649834e-01
## 12 0.000 9.91e-01 9.942175e-01 0.215 1.71e-07 1.957000e-06
## 13 0.211 2.92e-07 5.078499e-07 0.367 6.50e-20 3.012750e-17
## 14 -0.386 5.06e-22 1.537908e-21 -0.094 2.43e-02 6.071725e-02
## 15 0.411 6.37e-25 2.178963e-24 0.268 5.58e-11 2.248983e-09
## 16 0.621 6.81e-63 1.069978e-61 0.156 1.72e-04 8.572258e-04
## 17 0.149 3.39e-04 4.972358e-04 -0.059 1.54e-01 2.619413e-01
## 18 -0.181 1.22e-05 1.946540e-05 -0.073 8.07e-02 1.558519e-01
## 19 0.718 7.63e-93 5.052150e-91 0.243 3.25e-09 7.006395e-08
## 20 0.147 4.01e-04 5.863202e-04 0.208 4.46e-07 4.593800e-06
## 21 0.178 1.73e-05 2.736706e-05 0.053 2.03e-01 3.278415e-01
## 22 -0.016 7.09e-01 7.393060e-01 0.111 7.65e-03 2.216109e-02
## 23 -0.309 2.77e-14 6.371687e-14 0.074 7.69e-02 1.507110e-01
## 24 -0.217 1.35e-07 2.374668e-07 -0.089 3.29e-02 7.800077e-02
## 25 -0.141 6.63e-04 9.603141e-04 0.004 9.19e-01 9.560987e-01
## 26 -0.251 9.86e-10 1.912180e-09 -0.039 3.54e-01 4.994795e-01
## 27 0.391 1.39e-22 4.252574e-22 0.010 8.18e-01 8.889637e-01
## 28 0.038 3.68e-01 4.056314e-01 0.134 1.25e-03 4.768519e-03
## 29 0.723 1.10e-94 9.270000e-93 0.238 7.43e-09 1.377522e-07
## 30 0.654 7.94e-72 1.989292e-70 0.155 1.79e-04 8.873422e-04
## 31 0.706 2.31e-88 1.338356e-86 0.235 1.09e-08 1.804339e-07
## 32 0.664 1.27e-74 3.567545e-73 0.216 1.52e-07 1.761300e-06
## 33 0.036 3.86e-01 4.239597e-01 -0.016 6.97e-01 7.966942e-01
## 34 -0.147 3.94e-04 5.769953e-04 0.116 5.15e-03 1.591350e-02
## 35 -0.157 1.51e-04 2.272354e-04 -0.002 9.62e-01 9.756827e-01
## 36 0.185 7.38e-06 1.202330e-05 0.073 7.97e-02 1.548887e-01
## 37 0.085 4.10e-02 5.115343e-02 0.264 1.11e-10 4.115880e-09
## 38 0.000 9.93e-01 9.951470e-01 -0.008 8.50e-01 9.119792e-01
## 39 -0.367 6.50e-20 1.848313e-19 -0.218 1.23e-07 1.480792e-06
## 40 0.073 7.83e-02 9.463377e-02 -0.043 2.98e-01 4.419936e-01
## 41 0.615 2.50e-61 3.565385e-60 0.182 1.03e-05 7.125448e-05
## 42 0.033 4.30e-01 4.673036e-01 0.005 9.08e-01 9.500181e-01
## 43 -0.183 9.67e-06 1.567149e-05 0.097 2.01e-02 5.219244e-02
## 44 0.102 1.43e-02 1.854000e-02 0.032 4.43e-01 5.841550e-01
## 45 0.541 3.62e-45 2.750607e-44 0.233 1.38e-08 2.244316e-07
## 46 -0.528 7.91e-43 5.237550e-42 -0.148 3.55e-04 1.629134e-03
## 47 0.176 2.12e-05 3.342245e-05 0.120 4.00e-03 1.283045e-02
## 48 0.104 1.24e-02 1.618986e-02 0.225 4.43e-08 6.039132e-07
## 49 0.113 6.48e-03 8.693140e-03 -0.055 1.91e-01 3.117058e-01
## 50 -0.509 1.96e-39 1.157274e-38 -0.142 6.39e-04 2.704808e-03
## 51 -0.091 2.82e-02 3.576115e-02 0.045 2.82e-01 4.223166e-01
## 52 0.451 2.89e-30 1.185412e-29 0.082 4.91e-02 1.065941e-01
## 53 -0.505 9.72e-39 5.631525e-38 -0.190 4.20e-06 3.299492e-05
## 54 0.600 9.24e-58 1.173353e-56 0.370 3.78e-20 3.012750e-17
## 55 -0.131 1.59e-03 2.253716e-03 -0.081 5.03e-02 1.081858e-01
## 56 0.469 5.65e-33 2.658655e-32 0.215 1.87e-07 2.114012e-06
## 57 0.630 3.31e-65 5.900712e-64 0.271 3.30e-11 1.456714e-09
## 58 0.534 6.94e-44 4.765467e-43 0.152 2.51e-04 1.205580e-03
## 59 -0.128 1.98e-03 2.785220e-03 0.075 7.17e-02 1.420212e-01
## 60 0.149 3.18e-04 4.679143e-04 0.006 8.82e-01 9.312232e-01
## 61 0.452 2.18e-30 9.021696e-30 0.264 1.17e-10 4.171500e-09
## 62 0.041 3.30e-01 3.667986e-01 0.196 1.95e-06 1.636865e-05
## 63 0.218 1.18e-07 2.079582e-07 -0.127 2.22e-03 7.824867e-03
## 64 -0.186 6.41e-06 1.049836e-05 -0.059 1.54e-01 2.619413e-01
## 65 0.357 8.27e-19 2.261442e-18 0.125 2.60e-03 8.926667e-03
## 66 0.489 4.20e-36 2.163000e-35 0.257 3.79e-10 1.064645e-08
## 67 -0.163 8.45e-05 1.294736e-04 0.083 4.62e-02 1.022134e-01
## 68 -0.181 1.20e-05 1.917931e-05 0.067 1.08e-01 1.944000e-01
## 69 -0.355 1.35e-18 3.648542e-18 -0.057 1.72e-01 2.852308e-01
## 70 0.245 2.30e-09 4.396082e-09 0.196 1.96e-06 1.636865e-05
## 71 0.143 5.59e-04 8.122147e-04 0.139 8.33e-04 3.357352e-03
## 72 0.720 1.75e-93 1.247885e-91 0.226 3.82e-08 5.285284e-07
## 73 0.045 2.80e-01 3.142373e-01 0.069 9.94e-02 1.839198e-01
## 74 0.027 5.19e-01 5.568438e-01 0.024 5.71e-01 6.992299e-01
## 75 -0.537 1.66e-44 1.183708e-43 -0.040 3.36e-01 4.814096e-01
## 76 0.626 3.52e-64 5.932800e-63 0.108 9.20e-03 2.600122e-02
## 77 -0.466 1.52e-32 7.045200e-32 0.037 3.76e-01 5.202269e-01
## 78 0.243 3.03e-09 5.743988e-09 0.107 1.03e-02 2.875934e-02
## 79 0.342 2.87e-17 7.369778e-17 0.087 3.74e-02 8.560444e-02
## 80 -0.029 4.83e-01 5.218427e-01 0.033 4.23e-01 5.674689e-01
## 81 0.461 7.99e-32 3.552761e-31 0.097 1.92e-02 5.056364e-02
## 82 0.120 3.87e-03 5.322685e-03 0.043 3.04e-01 4.473143e-01
## 83 0.392 1.29e-22 3.972857e-22 0.024 5.63e-01 6.940173e-01
## 84 0.157 1.51e-04 2.272354e-04 -0.002 9.67e-01 9.786124e-01
## 85 0.737 3.68e-100 4.873371e-98 0.209 3.99e-07 4.251414e-06
## 86 0.562 2.21e-49 1.989000e-48 0.068 1.03e-01 1.879547e-01
## 87 0.373 1.65e-20 4.794828e-20 0.284 3.38e-12 2.238043e-10
## 88 -0.188 5.66e-06 9.286407e-06 0.082 4.79e-02 1.054408e-01
## 89 0.096 2.07e-02 2.657742e-02 -0.031 4.64e-01 6.066685e-01
## 90 0.599 1.35e-57 1.691149e-56 0.097 1.99e-02 5.196423e-02
## 91 0.183 9.43e-06 1.530930e-05 0.020 6.23e-01 7.442281e-01
## 92 -0.257 3.83e-10 7.570171e-10 0.089 3.31e-02 7.807557e-02
## 93 0.125 2.63e-03 3.638821e-03 -0.073 7.87e-02 1.535893e-01
## 94 0.329 4.47e-16 1.104984e-15 0.089 3.26e-02 7.748769e-02
## 95 -0.181 1.13e-05 1.815442e-05 0.114 6.25e-03 1.875000e-02
## 96 0.161 1.05e-04 1.595656e-04 0.019 6.57e-01 7.651244e-01
## 97 0.213 2.38e-07 4.147105e-07 0.186 7.12e-06 5.197039e-05
## 98 0.085 4.17e-02 5.181756e-02 0.052 2.10e-01 3.385565e-01
## 99 0.220 9.23e-08 1.632865e-07 0.278 9.94e-12 5.119100e-10
## 100 0.045 2.79e-01 3.134945e-01 0.019 6.41e-01 7.559885e-01
## 101 -0.364 1.65e-19 4.579491e-19 0.016 7.04e-01 8.007460e-01
## 102 0.521 1.64e-41 1.034204e-40 0.242 3.97e-09 8.040717e-08
## 103 -0.328 5.84e-16 1.428412e-15 -0.062 1.38e-01 2.400113e-01
## 104 0.052 2.08e-01 2.380444e-01 0.019 6.51e-01 7.610050e-01
## 105 -0.245 2.42e-09 4.615926e-09 0.029 4.82e-01 6.214381e-01
## 106 0.370 3.26e-20 9.385155e-20 0.331 2.91e-16 4.495950e-14
## 107 0.412 4.11e-25 1.421631e-24 0.171 3.74e-05 2.222423e-04
## 108 0.320 3.04e-15 7.188980e-15 0.286 2.35e-12 1.675731e-10
## 109 0.020 6.25e-01 6.591297e-01 0.135 1.18e-03 4.576820e-03
## 110 -0.042 3.14e-01 3.515435e-01 -0.074 7.36e-02 1.448561e-01
## 111 0.070 9.45e-02 1.136206e-01 -0.057 1.71e-01 2.840806e-01
## 112 0.317 6.43e-15 1.505205e-14 0.171 3.70e-05 2.222423e-04
## 113 0.179 1.45e-05 2.301627e-05 0.086 3.83e-02 8.680709e-02
## 114 0.493 9.28e-37 4.972578e-36 0.175 2.29e-05 1.444102e-04
## 115 0.121 3.61e-03 4.972467e-03 -0.076 6.70e-02 1.344351e-01
## 116 0.328 5.84e-16 1.428412e-15 0.134 1.28e-03 4.823415e-03
## 117 -0.214 2.12e-07 3.708000e-07 -0.032 4.40e-01 5.818545e-01
## 118 -0.109 8.65e-03 1.148789e-02 0.039 3.44e-01 4.883430e-01
## 119 0.427 4.44e-27 1.639793e-26 0.095 2.26e-02 5.724098e-02
## 120 -0.174 2.54e-05 3.984061e-05 0.012 7.73e-01 8.500249e-01
## 121 -0.192 3.21e-06 5.361568e-06 -0.100 1.63e-02 4.418158e-02
## 122 0.631 1.52e-65 2.762824e-64 0.183 9.18e-06 6.596791e-05
## 123 -0.178 1.61e-05 2.551231e-05 -0.057 1.73e-01 2.858663e-01
## 124 0.566 3.19e-50 3.017480e-49 0.175 2.24e-05 1.438448e-04
## 125 0.308 3.29e-14 7.549084e-14 0.131 1.60e-03 5.862451e-03
## 126 0.339 5.24e-17 1.338149e-16 -0.037 3.74e-01 5.182332e-01
## 127 0.048 2.46e-01 2.787800e-01 0.081 5.30e-02 1.128984e-01
## 128 -0.352 2.90e-18 7.702865e-18 -0.033 4.32e-01 5.729099e-01
## 129 0.570 4.12e-51 4.063021e-50 0.125 2.53e-03 8.751157e-03
## 130 0.251 1.01e-09 1.950562e-09 0.162 8.87e-05 4.780517e-04
## 131 -0.435 4.93e-28 1.880704e-27 -0.071 8.74e-02 1.653465e-01
## 132 0.424 1.19e-26 4.309102e-26 0.121 3.53e-03 1.140178e-02
## 133 0.408 1.28e-24 4.314764e-24 0.153 2.31e-04 1.127037e-03
## 134 0.173 2.80e-05 4.384459e-05 0.071 8.60e-02 1.633648e-01
## 135 0.384 9.61e-22 2.883000e-21 0.279 8.31e-12 4.531394e-10
## 136 0.645 1.98e-69 4.370143e-68 0.228 2.82e-08 4.084594e-07
## 137 0.122 3.25e-03 4.483259e-03 0.095 2.29e-02 5.752927e-02
## 138 -0.292 7.49e-13 1.641426e-12 0.015 7.11e-01 8.027978e-01
## 139 0.224 5.47e-08 9.788977e-08 0.156 1.64e-04 8.217730e-04
## 140 0.375 8.60e-21 2.514890e-20 0.005 8.98e-01 9.438163e-01
## 141 0.046 2.74e-01 3.086245e-01 0.059 1.60e-01 2.701639e-01
## 142 -0.351 3.25e-18 8.607857e-18 -0.021 6.11e-01 7.346265e-01
## 143 -0.029 4.84e-01 5.223143e-01 0.147 3.95e-04 1.760409e-03
## 144 -0.263 1.29e-10 2.593991e-10 -0.003 9.42e-01 9.659668e-01
## 145 0.166 5.97e-05 9.223650e-05 0.140 7.18e-04 2.958160e-03
## 146 0.650 1.44e-70 3.422769e-69 0.251 9.88e-10 2.348400e-08
## 147 0.112 7.01e-03 9.377013e-03 0.171 3.60e-05 2.181176e-04
## 148 0.060 1.53e-01 1.784038e-01 0.029 4.81e-01 6.210125e-01
## 149 -0.012 7.79e-01 8.032625e-01 0.147 3.82e-04 1.710696e-03
## 150 0.135 1.11e-03 1.580599e-03 0.116 5.32e-03 1.638419e-02
## 151 0.329 5.07e-16 1.249971e-15 0.158 1.39e-04 7.041148e-04
## 152 -0.184 8.34e-06 1.356347e-05 -0.035 3.97e-01 5.404097e-01
## 153 0.327 6.72e-16 1.635024e-15 0.133 1.34e-03 5.029069e-03
## 154 -0.031 4.59e-01 4.970713e-01 0.169 4.39e-05 2.575652e-04
## 155 0.028 5.04e-01 5.426341e-01 0.057 1.74e-01 2.870071e-01
## 156 0.564 9.17e-50 8.586455e-49 0.147 3.81e-04 1.710696e-03
## 157 0.113 6.76e-03 9.055665e-03 0.172 3.22e-05 1.989960e-04
## 158 0.115 5.62e-03 7.638915e-03 0.153 2.30e-04 1.127037e-03
## 159 0.077 6.55e-02 8.020938e-02 0.117 4.89e-03 1.516064e-02
## 160 0.537 1.48e-44 1.063535e-43 0.262 1.63e-10 5.396464e-09
## 161 0.459 2.11e-31 9.182958e-31 0.209 4.14e-07 4.343360e-06
## 162 0.745 1.56e-103 2.892240e-101 0.254 6.26e-10 1.568384e-08
## 163 0.060 1.50e-01 1.751259e-01 0.225 4.57e-08 6.084254e-07
## 164 -0.195 2.40e-06 4.030435e-06 0.012 7.82e-01 8.568723e-01
## 165 -0.015 7.21e-01 7.501313e-01 0.009 8.21e-01 8.901368e-01
## 166 -0.107 9.95e-03 1.310178e-02 0.022 5.98e-01 7.248995e-01
## 167 0.635 1.19e-66 2.298187e-65 0.264 1.22e-10 4.188667e-09
## 168 0.016 6.98e-01 7.303002e-01 0.038 3.63e-01 5.083097e-01
## 169 0.490 3.44e-36 1.781497e-35 0.084 4.30e-02 9.605060e-02
## 170 0.492 1.46e-36 7.689886e-36 0.200 1.33e-06 1.152252e-05
## 171 -0.403 6.20e-24 2.030883e-23 -0.062 1.39e-01 2.408467e-01
## 172 0.065 1.18e-01 1.397011e-01 0.158 1.31e-04 6.784190e-04
## 173 -0.057 1.70e-01 1.967416e-01 0.192 3.43e-06 2.741043e-05
## 174 -0.091 2.89e-02 3.659877e-02 -0.049 2.35e-01 3.679814e-01
## 175 -0.276 1.48e-11 3.062411e-11 -0.178 1.67e-05 1.121804e-04
## 176 0.472 2.18e-33 1.031051e-32 0.167 5.42e-05 3.120708e-04
## 177 0.024 5.61e-01 5.963842e-01 -0.033 4.35e-01 5.760643e-01
## 178 -0.381 2.23e-21 6.625673e-21 -0.177 1.86e-05 1.222851e-04
## 179 0.080 5.54e-02 6.820159e-02 0.047 2.56e-01 3.922512e-01
## 180 0.066 1.12e-01 1.331077e-01 -0.030 4.74e-01 6.145427e-01
## 181 0.037 3.73e-01 4.106544e-01 0.070 9.30e-02 1.741636e-01
## 182 0.479 1.70e-34 8.382447e-34 0.298 2.46e-13 2.073109e-11
## 183 0.413 3.13e-25 1.090793e-24 0.022 6.02e-01 7.271532e-01
## 184 0.144 5.16e-04 7.509137e-04 -0.024 5.69e-01 6.986265e-01
## 185 -0.269 4.69e-11 9.576278e-11 -0.030 4.68e-01 6.101772e-01
## 186 0.151 2.78e-04 4.097075e-04 0.072 8.33e-02 1.592146e-01
## 187 0.034 4.11e-01 4.487597e-01 0.078 6.22e-02 1.267240e-01
## 188 0.291 9.11e-13 1.982387e-12 0.069 9.71e-02 1.803842e-01
## 189 0.629 5.86e-65 1.024947e-63 0.202 1.00e-06 9.000000e-06
## 190 0.457 3.65e-31 1.559240e-30 0.119 4.02e-03 1.285014e-02
## 191 -0.066 1.10e-01 1.310668e-01 -0.050 2.34e-01 3.676576e-01
## 192 0.440 9.30e-29 3.637595e-28 0.170 3.81e-05 2.249599e-04
## 193 0.174 2.52e-05 3.959390e-05 0.015 7.28e-01 8.172826e-01
## 194 -0.058 1.65e-01 1.916729e-01 -0.107 1.02e-02 2.865273e-02
## 195 0.562 2.13e-49 1.935794e-48 0.238 6.51e-09 1.257244e-07
## 196 0.139 8.04e-04 1.159110e-03 -0.011 7.88e-01 8.583737e-01
## 197 0.151 2.78e-04 4.097075e-04 0.039 3.44e-01 4.883430e-01
## 198 0.320 3.18e-15 7.500916e-15 0.063 1.33e-01 2.317500e-01
## 199 0.127 2.17e-03 3.034072e-03 0.243 3.16e-09 6.974571e-08
## 200 0.235 1.08e-08 2.006333e-08 -0.016 7.00e-01 7.981550e-01
## 201 0.335 1.22e-16 3.081580e-16 0.259 2.53e-10 7.329094e-09
## 202 0.109 8.63e-03 1.147778e-02 0.002 9.71e-01 9.804614e-01
## 203 -0.113 6.47e-03 8.692304e-03 0.070 9.07e-02 1.705454e-01
## 204 -0.073 8.15e-02 9.837305e-02 0.092 2.76e-02 6.750712e-02
## 205 0.537 1.41e-44 1.021148e-43 0.177 1.93e-05 1.259937e-04
## 206 0.360 3.54e-19 9.708817e-19 0.132 1.53e-03 5.628214e-03
## 207 0.075 7.15e-02 8.721118e-02 -0.068 1.02e-01 1.868656e-01
## 208 0.276 1.39e-11 2.882617e-11 0.041 3.29e-01 4.757925e-01
## 209 -0.245 2.56e-09 4.872936e-09 0.109 8.59e-03 2.442617e-02
## 210 0.085 4.15e-02 5.170766e-02 0.090 3.12e-02 7.473488e-02
## 211 0.642 1.40e-68 2.884000e-67 0.232 1.65e-08 2.637155e-07
## 212 -0.232 1.56e-08 2.869286e-08 0.136 1.06e-03 4.146076e-03
## 213 0.412 4.43e-25 1.526621e-24 0.134 1.22e-03 4.711612e-03
## 214 0.519 3.38e-41 2.117068e-40 0.134 1.23e-03 4.711612e-03
## 215 0.168 4.69e-05 7.270284e-05 0.055 1.90e-01 3.111837e-01
## 216 0.208 4.55e-07 7.854469e-07 0.018 6.71e-01 7.755823e-01
## 217 0.488 6.09e-36 3.101885e-35 0.086 3.80e-02 8.655037e-02
## 218 0.255 4.86e-10 9.544958e-10 0.024 5.62e-01 6.937071e-01
## 219 0.350 4.12e-18 1.085011e-17 0.112 6.94e-03 2.042343e-02
## 220 0.528 9.61e-43 6.318064e-42 0.066 1.11e-01 1.982601e-01
## 221 0.564 9.39e-50 8.704530e-49 0.160 1.16e-04 6.075254e-04
## 222 0.412 3.87e-25 1.343629e-24 0.201 1.07e-06 9.357453e-06
## 223 0.577 1.08e-52 1.112400e-51 0.242 3.99e-09 8.040717e-08
## 224 0.370 3.14e-20 9.096188e-20 0.087 3.60e-02 8.322195e-02
## 225 0.333 2.18e-16 5.461784e-16 0.079 5.77e-02 1.201975e-01
## 226 0.057 1.71e-01 1.971604e-01 0.037 3.81e-01 5.255759e-01
## 227 -0.120 4.01e-03 5.507067e-03 -0.017 6.78e-01 7.807528e-01
## 228 -0.126 2.38e-03 3.307736e-03 0.022 5.99e-01 7.248995e-01
## 229 0.534 6.34e-44 4.385955e-43 0.076 6.75e-02 1.351458e-01
## 230 0.286 2.40e-12 5.126267e-12 0.022 5.98e-01 7.248995e-01
## 231 0.411 5.12e-25 1.757867e-24 0.064 1.26e-01 2.216357e-01
## 232 0.166 6.28e-05 9.686456e-05 0.066 1.12e-01 1.996615e-01
## 233 0.410 8.47e-25 2.886651e-24 0.114 5.88e-03 1.769727e-02
## 234 0.053 2.06e-01 2.360470e-01 0.078 5.97e-02 1.235310e-01
## 235 -0.190 4.11e-06 6.803518e-06 -0.048 2.53e-01 3.889403e-01
## 236 0.269 5.30e-11 1.077434e-10 -0.016 7.09e-01 8.024945e-01
## 237 -0.057 1.71e-01 1.971604e-01 -0.032 4.42e-01 5.836667e-01
## 238 -0.028 5.03e-01 5.421872e-01 -0.040 3.39e-01 4.842111e-01
## 239 0.494 6.63e-37 3.573262e-36 0.020 6.26e-01 7.468494e-01
## 240 0.672 3.91e-77 1.169216e-75 0.222 7.03e-08 8.806500e-07
## 241 -0.211 3.19e-07 5.537697e-07 0.062 1.39e-01 2.408467e-01
## 242 -0.362 2.72e-19 7.482018e-19 -0.050 2.26e-01 3.581231e-01
## 243 -0.445 1.80e-29 7.254783e-29 -0.097 1.96e-02 5.132542e-02
## 244 0.552 1.78e-47 1.447421e-46 0.245 2.43e-09 5.494171e-08
## 245 0.649 2.43e-70 5.631525e-69 0.164 7.57e-05 4.174243e-04
## 246 0.248 1.49e-09 2.865622e-09 0.082 4.96e-02 1.069284e-01
## 247 0.025 5.53e-01 5.892310e-01 0.023 5.88e-01 7.181502e-01
## 248 0.663 1.42e-74 3.871588e-73 0.152 2.48e-04 1.197375e-03
## 249 -0.457 3.14e-31 1.353851e-30 -0.065 1.21e-01 2.136514e-01
## 250 -0.413 2.83e-25 9.899660e-25 0.005 9.12e-01 9.530980e-01
## 251 0.688 2.32e-82 8.271692e-81 0.121 3.48e-03 1.139915e-02
## 252 0.033 4.24e-01 4.613239e-01 0.001 9.74e-01 9.812928e-01
## 253 0.303 9.70e-14 2.198509e-13 0.083 4.67e-02 1.030736e-01
## 254 0.304 8.42e-14 1.913074e-13 0.001 9.89e-01 9.911384e-01
## 255 0.446 1.35e-29 5.464847e-29 0.236 1.00e-08 1.716667e-07
## 256 0.016 7.10e-01 7.395169e-01 -0.019 6.55e-01 7.647166e-01
## 257 -0.142 6.34e-04 9.197465e-04 0.118 4.35e-03 1.371582e-02
## 258 -0.459 1.65e-31 7.249052e-31 -0.026 5.27e-01 6.605344e-01
## 259 -0.042 3.18e-01 3.555923e-01 0.042 3.19e-01 4.656898e-01
## 260 0.263 1.41e-10 2.829156e-10 0.086 3.82e-02 8.679265e-02
## 261 0.336 1.13e-16 2.862049e-16 0.073 8.06e-02 1.558519e-01
## 262 -0.431 1.74e-27 6.530283e-27 -0.115 5.53e-03 1.680757e-02
## 263 0.151 2.65e-04 3.917943e-04 0.328 5.92e-16 7.839771e-14
## 264 -0.093 2.48e-02 3.153580e-02 -0.080 5.46e-02 1.147215e-01
## 265 -0.301 1.35e-13 3.030145e-13 0.025 5.53e-01 6.844206e-01
## 266 0.199 1.40e-06 2.372578e-06 -0.019 6.50e-01 7.610050e-01
## 267 -0.284 3.52e-12 7.484037e-12 0.033 4.28e-01 5.705638e-01
## 268 -0.016 6.99e-01 7.305220e-01 0.112 7.14e-03 2.087943e-02
## 269 -0.079 5.69e-02 6.995531e-02 0.038 3.60e-01 5.056364e-01
## 270 -0.251 8.84e-10 1.721571e-09 -0.147 3.75e-04 1.695732e-03
## 271 0.585 2.89e-54 3.044352e-53 0.214 2.19e-07 2.445940e-06
## 272 -0.396 3.93e-23 1.230780e-22 -0.015 7.11e-01 8.027978e-01
## 273 0.381 1.92e-21 5.722958e-21 -0.004 9.26e-01 9.591084e-01
## 274 0.689 1.09e-82 4.210125e-81 0.191 3.66e-06 2.899846e-05
## 275 0.074 7.45e-02 9.039463e-02 -0.123 3.09e-03 1.045412e-02
## 276 0.555 6.37e-48 5.319811e-47 0.140 7.63e-04 3.115863e-03
## 277 0.379 3.56e-21 1.050994e-20 -0.033 4.25e-01 5.685065e-01
## 278 0.000 9.96e-01 9.970756e-01 -0.022 6.04e-01 7.271532e-01
## 279 0.153 2.20e-04 3.278778e-04 -0.068 1.02e-01 1.868656e-01
## 280 -0.426 6.88e-27 2.520854e-26 -0.078 6.20e-02 1.265947e-01
## 281 0.697 3.58e-85 1.508482e-83 0.145 4.51e-04 1.981408e-03
## 282 -0.498 1.39e-37 7.669821e-37 -0.071 8.87e-02 1.671238e-01
## 283 0.050 2.28e-01 2.596511e-01 0.058 1.64e-01 2.744188e-01
## 284 0.078 5.95e-02 7.305497e-02 0.036 3.88e-01 5.328533e-01
## 285 0.396 3.42e-23 1.078347e-22 0.078 5.99e-02 1.236688e-01
## 286 -0.019 6.42e-01 6.747551e-01 -0.071 8.85e-02 1.670866e-01
## 287 -0.089 3.19e-02 4.023306e-02 -0.048 2.50e-01 3.862500e-01
## 288 -0.550 5.62e-47 4.377933e-46 -0.100 1.66e-02 4.473314e-02
## 289 0.616 9.90e-62 1.480210e-60 0.199 1.35e-06 1.158750e-05
## 290 0.113 6.32e-03 8.527860e-03 0.150 3.07e-04 1.444614e-03
## 291 -0.030 4.68e-01 5.062264e-01 -0.128 2.11e-03 7.522962e-03
## 292 0.119 4.16e-03 5.704615e-03 -0.119 4.12e-03 1.307959e-02
## 293 0.566 2.69e-50 2.570753e-49 0.206 6.02e-07 5.936745e-06
## 294 0.369 3.91e-20 1.118694e-19 0.027 5.15e-01 6.539795e-01
## 295 -0.068 1.04e-01 1.243974e-01 0.013 7.53e-01 8.329726e-01
## 296 0.049 2.35e-01 2.672945e-01 -0.044 2.86e-01 4.276161e-01
## 297 0.330 4.06e-16 1.006316e-15 0.103 1.36e-02 3.718938e-02
## 298 0.736 8.25e-100 8.497500e-98 0.204 7.96e-07 7.529510e-06
## 299 0.402 7.09e-24 2.306116e-23 0.058 1.66e-01 2.772649e-01
## 300 -0.014 7.38e-01 7.660985e-01 -0.210 3.32e-07 3.620753e-06
## 301 0.145 4.51e-04 6.573538e-04 -0.050 2.34e-01 3.676576e-01
## 302 0.585 2.08e-54 2.242047e-53 0.134 1.27e-03 4.805265e-03
## 303 -0.430 2.16e-27 8.041446e-27 -0.178 1.72e-05 1.147079e-04
## 304 -0.236 9.18e-09 1.712245e-08 0.027 5.10e-01 6.485185e-01
## 305 0.613 4.88e-61 6.854182e-60 0.141 7.00e-04 2.896875e-03
## 306 0.253 6.68e-10 1.306405e-09 -0.083 4.56e-02 1.013698e-01
## 307 -0.508 2.70e-39 1.584114e-38 -0.076 6.62e-02 1.333191e-01
## 308 0.244 3.01e-09 5.717766e-09 0.078 6.11e-02 1.255869e-01
## 309 -0.157 1.53e-04 2.298720e-04 0.047 2.60e-01 3.964145e-01
## 310 0.198 1.64e-06 2.769180e-06 0.006 8.82e-01 9.312232e-01
## 311 -0.373 1.58e-20 4.605849e-20 -0.065 1.16e-01 2.056061e-01
## 312 -0.010 8.09e-01 8.286663e-01 0.105 1.18e-02 3.255536e-02
## 313 0.204 7.82e-07 1.337480e-06 -0.008 8.55e-01 9.131164e-01
## 314 0.500 7.68e-38 4.288771e-37 0.195 2.39e-06 1.943447e-05
## 315 -0.002 9.52e-01 9.582020e-01 0.002 9.65e-01 9.776557e-01
## 316 -0.036 3.91e-01 4.289432e-01 0.015 7.23e-01 8.143633e-01
## 317 0.362 2.71e-19 7.476696e-19 0.056 1.79e-01 2.942074e-01
## 318 -0.307 4.09e-14 9.361556e-14 -0.019 6.45e-01 7.578137e-01
## 319 0.232 1.63e-08 2.992099e-08 0.102 1.42e-02 3.860235e-02
## 320 0.552 2.53e-47 2.039400e-46 0.205 7.11e-07 6.842598e-06
## 321 0.097 2.03e-02 2.613625e-02 0.028 5.04e-01 6.435372e-01
## 322 0.553 1.19e-47 9.762212e-47 0.038 3.61e-01 5.062738e-01
## 323 0.108 9.30e-03 1.229829e-02 0.025 5.48e-01 6.800482e-01
## 324 -0.438 1.66e-28 6.385145e-28 -0.022 5.92e-01 7.201890e-01
## 325 -0.595 1.31e-56 1.577104e-55 -0.121 3.51e-03 1.140178e-02
## 326 0.370 3.76e-20 1.079108e-19 0.046 2.70e-01 4.096399e-01
## 327 0.357 8.47e-19 2.309321e-18 0.145 4.83e-04 2.111986e-03
## 328 0.348 7.14e-18 1.859208e-17 0.017 6.90e-01 7.906428e-01
## 329 -0.042 3.19e-01 3.562807e-01 -0.141 6.65e-04 2.781000e-03
## 330 0.251 9.66e-10 1.877321e-09 -0.020 6.33e-01 7.522962e-01
## 331 0.165 6.43e-05 9.901346e-05 0.016 7.07e-01 8.012090e-01
## 332 0.115 5.73e-03 7.765658e-03 0.167 5.58e-05 3.193000e-04
## 333 0.264 1.16e-10 2.337652e-10 0.237 8.46e-09 1.479702e-07
## 334 0.287 1.92e-12 4.120000e-12 0.008 8.52e-01 9.120139e-01
## 335 0.036 3.82e-01 4.200641e-01 -0.075 7.31e-02 1.443753e-01
## 336 0.181 1.16e-05 1.860415e-05 0.064 1.24e-01 2.185323e-01
## 337 0.170 4.16e-05 6.470336e-05 -0.016 7.00e-01 7.981550e-01
## nas_lobular_rho nas_lobular_p nas_lobular_p_adj
## 1 0.010 8.14e-01 8.877388e-01
## 2 -0.020 6.34e-01 7.458350e-01
## 3 0.018 6.58e-01 7.682191e-01
## 4 0.343 1.91e-17 3.541140e-15
## 5 0.017 6.84e-01 7.876621e-01
## 6 0.183 9.22e-06 6.474955e-05
## 7 0.114 6.30e-03 1.902313e-02
## 8 -0.005 8.95e-01 9.417143e-01
## 9 0.137 9.67e-04 3.897430e-03
## 10 0.144 4.94e-04 2.223000e-03
## 11 0.006 8.78e-01 9.291164e-01
## 12 0.214 1.96e-07 2.215756e-06
## 13 0.369 4.40e-20 4.078800e-17
## 14 -0.085 4.00e-02 9.043902e-02
## 15 0.277 1.32e-11 6.257250e-10
## 16 0.156 1.73e-04 8.811593e-04
## 17 -0.052 2.14e-01 3.456063e-01
## 18 -0.065 1.16e-01 2.104344e-01
## 19 0.241 4.47e-09 9.352400e-08
## 20 0.203 8.35e-07 7.884182e-06
## 21 0.044 2.94e-01 4.353642e-01
## 22 0.109 9.03e-03 2.615878e-02
## 23 0.075 7.22e-02 1.442221e-01
## 24 -0.093 2.50e-02 6.213137e-02
## 25 0.011 7.99e-01 8.775746e-01
## 26 -0.036 3.86e-01 5.283490e-01
## 27 0.023 5.87e-01 7.113059e-01
## 28 0.135 1.17e-03 4.519125e-03
## 29 0.239 5.97e-09 1.177487e-07
## 30 0.158 1.31e-04 6.979138e-04
## 31 0.233 1.39e-08 2.342782e-07
## 32 0.222 7.06e-08 9.349457e-07
## 33 -0.017 6.79e-01 7.858090e-01
## 34 0.128 2.11e-03 7.552008e-03
## 35 0.002 9.66e-01 9.839835e-01
## 36 0.080 5.38e-02 1.138644e-01
## 37 0.267 7.31e-11 2.710548e-09
## 38 -0.009 8.30e-01 8.967483e-01
## 39 -0.217 1.43e-07 1.699500e-06
## 40 -0.035 4.01e-01 5.410873e-01
## 41 0.186 6.70e-06 4.814651e-05
## 42 -0.004 9.23e-01 9.570033e-01
## 43 0.102 1.42e-02 3.860235e-02
## 44 0.038 3.61e-01 5.085821e-01
## 45 0.237 7.53e-09 1.424553e-07
## 46 -0.141 6.48e-04 2.755486e-03
## 47 0.117 4.85e-03 1.529235e-02
## 48 0.219 9.80e-08 1.211280e-06
## 49 -0.056 1.79e-01 2.979048e-01
## 50 -0.135 1.12e-03 4.344100e-03
## 51 0.045 2.84e-01 4.266904e-01
## 52 0.090 3.10e-02 7.312214e-02
## 53 -0.189 4.76e-06 3.616820e-05
## 54 0.366 1.02e-19 4.727700e-17
## 55 -0.086 3.87e-02 8.792868e-02
## 56 0.219 1.07e-07 1.288169e-06
## 57 0.272 3.07e-11 1.293586e-09
## 58 0.149 3.32e-04 1.602937e-03
## 59 0.075 7.25e-02 1.442221e-01
## 60 0.006 8.85e-01 9.333276e-01
## 61 0.268 5.73e-11 2.213213e-09
## 62 0.192 3.52e-06 2.765288e-05
## 63 -0.117 4.68e-03 1.490845e-02
## 64 -0.046 2.74e-01 4.177599e-01
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## 323 0.024 5.69e-01 6.931183e-01
## 324 -0.032 4.49e-01 5.837630e-01
## 325 -0.124 2.81e-03 9.683532e-03
## 326 0.036 3.86e-01 5.283490e-01
## 327 0.142 6.19e-04 2.648571e-03
## 328 0.007 8.76e-01 9.280594e-01
## 329 -0.131 1.54e-03 5.756371e-03
## 330 -0.026 5.31e-01 6.624993e-01
## 331 0.016 7.01e-01 8.032472e-01
## 332 0.161 1.03e-04 5.649763e-04
## 333 0.232 1.69e-08 2.701086e-07
## 334 0.000 9.91e-01 9.950734e-01
## 335 -0.070 9.34e-02 1.777860e-01
## 336 0.071 8.95e-02 1.721297e-01
## 337 -0.016 6.94e-01 7.971970e-01Pull the Sgn beta log10 p values for the 44,313 UK Biobank Pharma Proteomics Project participants, among whom 2729 experienced coronary artery disease, 2,107 heart failure, and 1,014 atrial fibrillation and 326 aortic stenosis events during follow up.
In the UK biobank data the sgn beta log10 p values for the follow-up outcomes, including, coronary artery disease (CAD), heart failure (HF), atrial fibrillation (Afib), and aortic stenosis (AS), give directionality to the strength of the associations. This data is pulled from the multivariable-adjusted Cox proportional hazards models - figure 2 in Schuermans et al., 2024.
Although this is what is presented in their paper, similarly to the initial QENIE pipeline, they have not looked at the size of the hazard ratio in the Cox analysis, but only focused on the p value. Below, I go on to produce a dataframe where I can compare the strength of the association between plasma protein levels and cardiovascular outcomes to the HMDP Ssec score, and the Steatosite liver pathology scores to get an idea as to whether they are strong liver-heart correlating genes and whether they’re hepatic mRNA expression levels are associated with human liver pathology. However, at this point I need to decide on the best way to rank the genes.
# ── OLINK CV Plasma Proteins vs HMDP Human Orthologs ─────────────────────
Olink_CV <- read.csv("OLINK_CV-outcome_Schuermans.csv")
olink_human <- unique(toupper(Olink_CV$Protein))
# ── Overlap analysis ──────────────────────────────────────────────────────
Olink_Ssec_overlap <- intersect(olink_human, ssec_steatosite_human)
olink_only <- setdiff(olink_human, ssec_steatosite_human)
ssec_only <- setdiff(ssec_steatosite_human, olink_human)
cat("Olink CV unique proteins: ", length(olink_human), "\n")## Olink CV unique proteins: 1459cat("Ssec Steatosite candidates: ", length(ssec_steatosite_human), "\n")## Ssec Steatosite candidates: 927cat("Overlapping genes: ", length(Olink_Ssec_overlap), "\n")## Overlapping genes: 337cat("Olink only: ", length(olink_only), "\n")## Olink only: 1122cat("Ssec Steatosite only: ", length(ssec_only), "\n")## Ssec Steatosite only: 590# ── Pull Olink details for overlapping genes ──────────────────────────────
Olink_Ssec_overlap_info <- Olink_CV %>%
dplyr::filter(toupper(Protein) %in% Olink_Ssec_overlap) %>%
dplyr::mutate(
Protein = toupper(Protein),
Outcome = dplyr::recode(Outcome,
"Atrial fibrillation" = "Afib",
"Heart failure" = "HF",
"Coronary artery disease" = "CAD",
"Aortic stenosis" = "AS"
)
) %>%
dplyr::arrange(Protein, Outcome)
# ── Pivot Olink to wide format (one row per gene, outcomes as columns) ────
Olink_wide <- Olink_Ssec_overlap_info %>%
dplyr::select(Protein, Outcome, Sgn.beta..x..log10.P.) %>%
tidyr::pivot_wider(
names_from = Outcome,
values_from = Sgn.beta..x..log10.P.,
names_prefix = "Sgn_" # e.g. Sgn_HF, Sgn_CAD, Sgn_Afib, Sgn_AS
)
# ── Pull Ssec Steatosite details for overlapping genes ────────────────────
Ssec_Olink_overlap_info <- Ssec_Steatosite_correlations %>%
dplyr::filter(toupper(human_gene) %in% Olink_Ssec_overlap) %>%
dplyr::mutate(Protein = toupper(human_gene)) %>%
dplyr::arrange(desc(Ssec_median_rho))
# ── Merge Ssec info with wide Olink data ──────────────────────────────────
Olink_Ssec_merged <- Ssec_Olink_overlap_info %>%
dplyr::left_join(Olink_wide, by = "Protein") %>%
dplyr::arrange(desc(Ssec_median_rho))
cat("\nMerged dataframe (Ssec + Olink wide format):\n")##
## Merged dataframe (Ssec + Olink wide format):print(as.data.frame(Olink_Ssec_merged))## human_gene mouse_gene Ssec_mean_rho Ssec_median_rho Ssec_sig_count n
## 1 CHGB Chgb 0.3704266212 3.746260e-01 3 578
## 2 GHRL Ghrl 0.2891858778 3.729252e-01 9 578
## 3 THBS4 Thbs4 0.1715103592 3.680820e-01 7 578
## 4 LPL Lpl 0.2420576328 3.620381e-01 78 578
## 5 IGFBP6 Igfbp6 0.1268625900 3.618516e-01 3 578
## 6 CCDC80 Ccdc80 0.2000321440 3.600224e-01 293 578
## 7 CCL17 Ccl17 0.3536655270 3.571006e-01 5 578
## 8 ADM Adm 0.2522890457 3.568626e-01 97 578
## 9 IL7 Il7 0.1923858916 3.558383e-01 8 578
## 10 LIF Lif 0.2586055872 3.546917e-01 13 578
## 11 CTF1 Ctf1 0.1946497640 3.543348e-01 33 578
## 12 GRN Grn 0.0919201143 3.542286e-01 516 578
## 13 CXCL10 Cxcl10 0.1569401254 3.539231e-01 218 578
## 14 SMPDL3A Smpdl3a 0.2457230710 3.539009e-01 12 578
## 15 CCL5 Ccl5 0.2274446946 3.537166e-01 42 578
## 16 ENPP5 Enpp5 0.2536824933 3.536814e-01 168 578
## 17 IGFBP1 Igfbp1 0.1453472974 3.534097e-01 281 578
## 18 ANGPTL4 Angptl4 0.1565303653 3.523656e-01 140 578
## 19 DCN Dcn 0.1278925258 3.520297e-01 312 578
## 20 SPON2 Spon2 0.1556387778 3.517217e-01 172 578
## 21 NRCAM Nrcam 0.2422403813 3.513442e-01 19 578
## 22 MATN2 Matn2 0.2136338728 3.511958e-01 34 578
## 23 CXCL14 Cxcl14 0.1937467736 3.511387e-01 33 578
## 24 REN Ren1 0.1979016968 3.510218e-01 72 578
## 25 LBP Lbp 0.1967855769 3.504549e-01 88 578
## 26 CD163 Cd163 0.1639920566 3.503219e-01 90 578
## 27 SCGN Scgn 0.0768634231 3.500775e-01 10 578
## 28 IFNG Ifng 0.1190095962 3.495981e-01 9 578
## 29 IGFBP7 Igfbp7 0.1318098551 3.495603e-01 353 578
## 30 PRELP Prelp 0.0861858601 3.493363e-01 303 578
## 31 FAP Fap 0.1467900824 3.489843e-01 3 578
## 32 VCAN Vcan 0.2075136321 3.489468e-01 5 578
## 33 REG1A Reg1 0.2451426025 3.487195e-01 7 578
## 34 CXCL16 Cxcl16 0.1277990368 3.487134e-01 157 578
## 35 TSLP Tslp 0.1770935097 3.486100e-01 19 578
## 36 FOLR1 Folr1 0.1952362955 3.483612e-01 12 578
## 37 TGFBI Tgfbi 0.1776256744 3.480835e-01 118 578
## 38 PNLIPRP2 Pnliprp2 0.3479179863 3.479180e-01 2 578
## 39 EFNA1 Efna1 0.1302077488 3.478513e-01 164 578
## 40 CXCL13 Cxcl13 0.2033318908 3.475341e-01 64 578
## 41 SPINT1 Spint1 0.1282148680 3.474408e-01 33 578
## 42 GKN1 Gkn1 0.1855625917 3.471481e-01 21 578
## 43 C1QA C1qa 0.1282309882 3.470267e-01 279 578
## 44 PRSS2 Prss2 0.2557070869 3.467245e-01 7 578
## 45 LGALS3 Lgals3 0.1267301776 3.465985e-01 121 578
## 46 ST3GAL1 St3gal1 0.1399418607 3.464878e-01 81 578
## 47 NGF Ngf 0.0712618458 3.464634e-01 20 578
## 48 PLA2G7 Pla2g7 0.1063227258 3.463560e-01 120 578
## 49 MMP1 Mmp1b 0.2011999919 3.462420e-01 14 578
## 50 GFOD2 Gfod2 0.1260763030 3.461798e-01 181 578
## 51 CD40 Cd40 0.2201569367 3.454519e-01 21 578
## 52 CHRDL2 Chrdl2 0.1592448076 3.453973e-01 18 578
## 53 PON3 Pon3 0.1641444992 3.453470e-01 33 578
## 54 COL1A1 Col1a1 0.1373204404 3.452560e-01 29 578
## 55 SFTPD Sftpd 0.3451897684 3.451174e-01 3 578
## 56 CPXM1 Cpxm1 0.2680084192 3.449133e-01 7 578
## 57 CCL21 Ccl21b 0.1307802522 3.447660e-01 82 578
## 58 CNTN4 Cntn4 0.0564685580 3.444045e-01 7 578
## 59 CX3CL1 Cx3cl1 0.1672917122 3.443357e-01 11 578
## 60 SCG3 Scg3 0.3558013170 3.441316e-01 9 578
## 61 TGFB1 Tgfb1 0.1016409187 3.441291e-01 313 578
## 62 LGALS1 Lgals1 0.0730457118 3.439250e-01 177 578
## 63 PDGFC Pdgfc 0.1384797523 3.437570e-01 77 578
## 64 IL1RN Il1rn 0.1538162613 3.435552e-01 63 578
## 65 EPHB6 Ephb6 0.1265338780 3.435311e-01 12 578
## 66 BGN Bgn 0.0811021439 3.434490e-01 265 578
## 67 PSPN Pspn 0.1622408763 3.433421e-01 11 578
## 68 CCL15 Ccl6 0.1174525909 3.431773e-01 180 578
## 69 CCL23 Ccl6 0.1174525909 3.431773e-01 180 578
## 70 IL1B Il1b 0.1107009725 3.431108e-01 28 578
## 71 TNFSF13 Tnfsf13 0.1539708314 3.428799e-01 45 578
## 72 PTGDS Ptgds 0.0338522400 3.428495e-01 31 578
## 73 LIFR Lifr 0.1232593394 3.426092e-01 99 578
## 74 MMP8 Mmp8 0.2944760372 3.425382e-01 11 578
## 75 KDR Kdr 0.1208245589 3.423934e-01 196 578
## 76 PAPPA Pappa 0.1016007412 3.423679e-01 22 578
## 77 CTSL Ctsl 0.0869464819 3.422849e-01 220 578
## 78 CGREF1 Cgref1 0.0701044826 3.422592e-01 266 578
## 79 IL1R1 Il1r1 0.1138139973 3.422499e-01 218 578
## 80 NID1 Nid1 0.0781887426 3.421590e-01 100 578
## 81 STC2 Stc2 0.1157486956 3.421404e-01 6 578
## 82 FGF21 Fgf21 0.1283368911 3.421135e-01 163 578
## 83 IL1RL1 Il1rl1 0.1867437705 3.420005e-01 21 578
## 84 SPINK1 Spink1 0.1461589997 3.416901e-01 21 578
## 85 EFEMP1 Efemp1 0.0475365268 3.415559e-01 29 578
## 86 MFGE8 Mfge8 0.0813260777 3.415443e-01 21 578
## 87 MMP9 Mmp9 0.1688262287 3.414300e-01 23 578
## 88 CTSB Ctsb 0.0733682124 3.410274e-01 207 578
## 89 PRSS8 Prss8 0.0559324083 3.410076e-01 141 578
## 90 PLAT Plat 0.1153409619 3.408876e-01 21 578
## 91 TINAGL1 Tinagl1 0.0864647807 3.408117e-01 146 578
## 92 GDF2 Gdf2 0.0703248533 3.407021e-01 166 578
## 93 BTC Btc 0.1030865494 3.406193e-01 15 578
## 94 TNFSF13B Tnfsf13b 0.0732284684 3.405704e-01 10 578
## 95 TCN2 Tcn2 0.1077747294 3.403555e-01 75 578
## 96 ANGPTL1 Angptl1 0.1208187958 3.402414e-01 12 578
## 97 CST7 Cst7 0.2465498667 3.401865e-01 7 578
## 98 LTBP3 Ltbp3 0.0962244409 3.399683e-01 8 578
## 99 CXCL9 Cxcl9 0.1325385118 3.398820e-01 61 578
## 100 NUCB2 Nucb2 0.1292383756 3.398680e-01 43 578
## 101 PLA2G15 Pla2g15 0.0553425281 3.397198e-01 57 578
## 102 ANGPTL2 Angptl2 0.1528384981 3.396720e-01 17 578
## 103 C2 C2 0.1161095627 3.396277e-01 39 578
## 104 PLA2G2A Pla2g2a 0.1582512674 3.396126e-01 11 578
## 105 GGH Ggh 0.0946468180 3.395437e-01 67 578
## 106 CAPG Capg 0.0821829478 3.395111e-01 23 578
## 107 C1QTNF1 C1qtnf1 0.0557512714 3.392393e-01 141 578
## 108 TNFRSF9 Tnfrsf9 0.0384221570 3.391599e-01 33 578
## 109 ICAM4 Icam4 0.1492304788 3.391004e-01 42 578
## 110 FGF5 Fgf5 0.0144030142 3.389057e-01 15 578
## 111 LEPR Lepr 0.0376475659 3.389010e-01 229 578
## 112 CSF1 Csf1 0.0229589680 3.388893e-01 17 578
## 113 TNC Tnc 0.3684554951 3.388637e-01 3 578
## 114 CCL2 Ccl2 0.0919376060 3.387855e-01 27 578
## 115 ANGPT2 Angpt2 0.0847301626 3.385244e-01 68 578
## 116 QPCT Qpct 0.0459476484 3.385078e-01 16 578
## 117 CD14 Cd14 0.0653358981 3.385020e-01 211 578
## 118 MIA Mia 0.0890083768 3.384846e-01 29 578
## 119 PTN Ptn 0.1410600932 3.384006e-01 23 578
## 120 CRELD2 Creld2 0.0868774310 3.382396e-01 44 578
## 121 FST Fst 0.0928871035 3.381043e-01 50 578
## 122 ANGPT1 Angpt1 0.0846404388 3.380343e-01 42 578
## 123 CNPY2 Cnpy2 0.0978572040 3.378931e-01 37 578
## 124 JCHAIN Jchain 0.0685165749 3.378873e-01 65 578
## 125 NPTN Nptn 0.0309323728 3.378057e-01 9 578
## 126 EREG Ereg 0.0947112649 3.376751e-01 11 578
## 127 ACE2 Ace2 0.0757540127 3.375980e-01 15 578
## 128 SDC1 Sdc1 0.0427630655 3.375140e-01 40 578
## 129 MMP7 Mmp7 0.0865976162 3.370346e-01 16 578
## 130 GAS6 Gas6 0.0274939323 3.370334e-01 36 578
## 131 AMBP Ambp 0.0897893354 3.369635e-01 40 578
## 132 CHI3L1 Chi3l1 0.0202877766 3.369145e-01 11 578
## 133 PGF Pgf 0.0852646247 3.367675e-01 48 578
## 134 KAZALD1 Kazald1 0.1117760140 3.366299e-01 6 578
## 135 CCL22 Ccl22 0.1751436254 3.365470e-01 12 578
## 136 CCL19 Ccl19 0.0457891091 3.364793e-01 59 578
## 137 LY96 Ly96 0.0452462163 3.363662e-01 52 578
## 138 SIGLEC1 Siglec1 0.0286865152 3.363545e-01 88 578
## 139 PLTP Pltp 0.0113888322 3.363382e-01 72 578
## 140 FAM3C Fam3c 0.0544696770 3.360582e-01 51 578
## 141 VWA1 Vwa1 0.0107500960 3.359766e-01 27 578
## 142 IGFBP4 Igfbp4 0.0085752416 3.357643e-01 139 578
## 143 IGFBP3 Igfbp3 0.0722338011 3.356908e-01 35 578
## 144 AOC1 Aoc1 0.0432354961 3.355847e-01 9 578
## 145 CCL8 Ccl8 0.1625477680 3.354470e-01 4 578
## 146 COL4A1 Col4a1 0.0160924188 3.350924e-01 61 578
## 147 CXCL11 Cxcl11 0.0464455687 3.350294e-01 14 578
## 148 SERPINE1 Serpine1 0.0496604020 3.349722e-01 14 578
## 149 CANT1 Cant1 0.0801883950 3.348871e-01 18 578
## 150 IL18BP Il18bp 0.0256630858 3.348579e-01 87 578
## 151 PLAUR Plaur 0.0549123906 3.347879e-01 5 578
## 152 WFIKKN1 Wfikkn1 0.1124630804 3.347786e-01 12 578
## 153 LCN2 Lcn2 0.0672901809 3.347214e-01 38 578
## 154 CST3 Cst3 0.0457396774 3.346515e-01 38 578
## 155 IL10 Il10 0.0531005612 3.346305e-01 26 578
## 156 LAMA4 Lama4 0.1239806766 3.344952e-01 9 578
## 157 PIGR Pigr 0.0162554363 3.344497e-01 165 578
## 158 CCL4 Ccl4 0.0855140906 3.344240e-01 8 578
## 159 DAG1 Dag1 0.0097404854 3.344205e-01 192 578
## 160 SPP1 Spp1 0.0067768911 3.343365e-01 49 578
## 161 COMP Comp 0.0382926820 3.342362e-01 11 578
## 162 LTBP2 Ltbp2 0.0523745469 3.341347e-01 9 578
## 163 CTSD Ctsd 0.0663833080 3.340787e-01 42 578
## 164 TEK Tek 0.0301314006 3.340227e-01 73 578
## 165 CPA2 Cpa2 0.0388048037 3.340064e-01 9 578
## 166 IL17RB Il17rb 0.0135149795 3.338501e-01 31 578
## 167 ROBO1 Robo1 0.0120190691 3.336693e-01 52 578
## 168 TFPI2 Tfpi2 0.0248393567 3.335748e-01 58 578
## 169 ADAM23 Adam23 0.0085238637 3.335480e-01 230 578
## 170 IL16 Il16 0.0263876203 3.334908e-01 32 578
## 171 ANG Ang2 0.0692925034 3.334628e-01 15 578
## 172 CCL18 Ccl3 0.0321877312 3.330417e-01 41 578
## 173 CCL3 Ccl3 0.0321877312 3.330417e-01 41 578
## 174 ITIH3 Itih3 0.0418950773 3.330207e-01 58 578
## 175 IL1RAP Il1rap 0.0004903776 3.328761e-01 309 578
## 176 IL18 Il18 0.0060345055 3.327653e-01 145 578
## 177 CTRB1 Ctrb1 0.0419201845 3.326836e-01 12 578
## 178 TFPI Tfpi 0.0571969563 3.326719e-01 19 578
## 179 NID2 Nid2 0.0066506488 3.326626e-01 57 578
## 180 SFTPA2 Sftpa1 0.0303394915 3.326416e-01 13 578
## 181 SFTPA1 Sftpa1 0.0303394915 3.326416e-01 13 578
## 182 OLR1 Olr1 0.0074441548 6.565064e-03 8 578
## 183 CHRDL1 Chrdl1 -0.0008690367 2.883569e-03 12 578
## 184 TFF1 Tff1 0.0039067538 2.530714e-03 8 578
## 185 NRTN Nrtn 0.0014279848 2.103186e-03 6 578
## 186 DKKL1 Dkkl1 -0.0021341809 1.270310e-03 14 578
## 187 MANF Manf -0.0026385963 1.081335e-03 14 578
## 188 IL15RA Il15ra 0.0081700547 1.018341e-03 12 578
## 189 PDGFA Pdgfa -0.0004778393 3.009561e-04 22 578
## 190 ENPP2 Enpp2 0.0033388426 2.239642e-04 86 578
## 191 CCL24 Ccl24 0.0029634084 -1.399786e-05 214 578
## 192 TNFSF12 Tnfsf12 0.0015415697 -4.759239e-04 30 578
## 193 OGN Ogn -0.0177133712 -5.494236e-04 6 578
## 194 MYOC Myoc 0.0053367582 -5.669212e-04 6 578
## 195 PLAU Plau -0.0013809032 -6.369092e-04 10 578
## 196 TFF2 Tff2 -0.0077233183 -6.648983e-04 8 578
## 197 RSPO1 Rspo1 0.0012283250 -1.896730e-03 8 578
## 198 CRLF1 Crlf1 -0.0078754985 -4.076933e-03 14 578
## 199 TNF Tnf -0.0106096396 -6.550975e-03 10 578
## 200 TIMP4 Timp4 -0.0172126804 -7.596817e-03 6 578
## 201 GZMA Gzma -0.0061153358 -1.037945e-02 4 578
## 202 PM20D1 Pm20d1 -0.0065955993 -3.325028e-01 39 578
## 203 CREG1 Creg1 -0.0017963918 -3.325390e-01 101 578
## 204 MIF Mif -0.0325921736 -3.327699e-01 77 578
## 205 IL34 Il34 -0.0071912167 -3.328014e-01 75 578
## 206 AGRN Agrn -0.0092213754 -3.329379e-01 107 578
## 207 SERPINB5 Serpinb5 -0.0236848582 -3.330475e-01 30 578
## 208 IL15 Il15 -0.0084525008 -3.330709e-01 57 578
## 209 P4HB P4hb -0.0534915293 -3.331432e-01 19 578
## 210 MFAP5 Mfap5 -0.0746321758 -3.331642e-01 15 578
## 211 COL6A3 Col6a3 -0.0324019600 -3.331735e-01 54 578
## 212 DPP4 Dpp4 -0.0049878466 -3.332423e-01 229 578
## 213 MDK Mdk -0.0457461610 -3.333112e-01 7 578
## 214 OMD Omd -0.0308701219 -3.334406e-01 39 578
## 215 NBL1 Nbl1 -0.0266761852 -3.334780e-01 15 578
## 216 SCG2 Scg2 -0.1182172171 -3.335001e-01 6 578
## 217 FAM3B Fam3b -0.0435600427 -3.336285e-01 16 578
## 218 FGF23 Fgf23 -0.1359840982 -3.336436e-01 6 578
## 219 GDF15 Gdf15 -0.0373088769 -3.336961e-01 33 578
## 220 CCL28 Ccl28 -0.0737933986 -3.337043e-01 15 578
## 221 VEGFC Vegfc -0.0151725252 -3.339819e-01 85 578
## 222 HSPG2 Hspg2 -0.0227991334 -3.340029e-01 87 578
## 223 CXCL12 Cxcl12 -0.0328738245 -3.341324e-01 96 578
## 224 TGFA Tgfa -0.0246956783 -3.342805e-01 27 578
## 225 PTX3 Ptx3 -0.0718557458 -3.342829e-01 13 578
## 226 CPA1 Cpa1 -0.0874026701 -3.343739e-01 8 578
## 227 MSLN Msln -0.0468244914 -3.344135e-01 7 578
## 228 CEACAM1 Ceacam10 -0.0612219283 -3.346141e-01 15 578
## 229 EDIL3 Edil3 -0.1103252064 -3.348859e-01 20 578
## 230 IL6 Il6 -0.0598375993 -3.349384e-01 12 578
## 231 TNFRSF19 Tnfrsf19 -0.0413068623 -3.351216e-01 73 578
## 232 BMP4 Bmp4 -0.0219414172 -3.351402e-01 62 578
## 233 TNFRSF11B Tnfrsf11b -0.0757148524 -3.351566e-01 25 578
## 234 SEMA3F Sema3f -0.0107804966 -3.352335e-01 47 578
## 235 BMP6 Bmp6 -0.0329812332 -3.353595e-01 38 578
## 236 KLK11 Klk11 -0.0296959262 -3.353736e-01 20 578
## 237 B4GALT1 B4galt1 -0.0911283634 -3.353980e-01 16 578
## 238 SDC4 Sdc4 -0.0426127195 -3.354785e-01 83 578
## 239 SPARCL1 Sparcl1 -0.0720527716 -3.355963e-01 20 578
## 240 DPT Dpt -0.0665123915 -3.356080e-01 42 578
## 241 GALNT2 Galnt2 -0.0264138959 -3.358343e-01 104 578
## 242 THPO Thpo -0.0387910007 -3.358728e-01 20 578
## 243 MASP1 Masp1 -0.0135827560 -3.360046e-01 61 578
## 244 TIMP1 Timp1 -0.0776141550 -3.360956e-01 15 578
## 245 CXCL6 Cxcl5 -0.0178153463 -3.364479e-01 19 578
## 246 TNFRSF10C Tnfrsf22 -0.1685737515 -3.364513e-01 15 578
## 247 TNFRSF10B Tnfrsf22 -0.1685737515 -3.364513e-01 15 578
## 248 SPON1 Spon1 -0.0776393929 -3.364747e-01 5 578
## 249 APOM Apom -0.0336550590 -3.366987e-01 91 578
## 250 RARRES2 Rarres2 -0.0158878765 -3.367033e-01 89 578
## 251 VWF Vwf -0.0545540108 -3.367698e-01 49 578
## 252 TNFSF14 Tnfsf14 -0.0095614738 -3.367757e-01 31 578
## 253 HBEGF Hbegf -0.0652218331 -3.369681e-01 134 578
## 254 ACAN Acan -0.0428854385 -3.370264e-01 7 578
## 255 CLEC11A Clec11a -0.0448478765 -3.370474e-01 16 578
## 256 ARTN Artn -0.0781899097 -3.371665e-01 13 578
## 257 AFP Afp -0.0518518852 -3.376797e-01 14 578
## 258 HYAL1 Hyal1 -0.1016368866 -3.377473e-01 53 578
## 259 EGFL7 Egfl7 -0.0665033735 -3.377741e-01 32 578
## 260 CCL11 Ccl11 -0.0418800635 -3.378500e-01 16 578
## 261 SPOCK1 Spock1 -0.1007109366 -3.380028e-01 25 578
## 262 ST6GAL1 St6gal1 -0.0330889937 -3.381941e-01 489 578
## 263 TREM2 Trem2 -0.0571725196 -3.382583e-01 12 578
## 264 REG4 Reg4 -0.0435385685 -3.384123e-01 22 578
## 265 INHBC Inhbc -0.0403585961 -3.384309e-01 260 578
## 266 AGR2 Agr2 -0.0521766148 -3.386444e-01 14 578
## 267 ANGPTL3 Angptl3 -0.0505319721 -3.388823e-01 247 578
## 268 GPC1 Gpc1 -0.0365204691 -3.390094e-01 58 578
## 269 NCAN Ncan -0.1715506102 -3.390503e-01 23 578
## 270 CXADR Cxadr -0.0435059487 -3.391949e-01 233 578
## 271 SPARC Sparc -0.1110238404 -3.395647e-01 58 578
## 272 F7 F7 -0.1353346073 -3.395997e-01 23 578
## 273 WNT9A Wnt9a -0.0443663672 -3.401037e-01 16 578
## 274 SLIT2 Slit2 -0.1478284799 -3.405785e-01 22 578
## 275 CD46 Cd46 -0.0618985295 -3.406239e-01 19 578
## 276 CXCL1 Cxcl1 -0.0588138032 -3.406682e-01 182 578
## 277 WFDC2 Wfdc2 -0.0958059211 -3.406775e-01 8 578
## 278 RTBDN Rtbdn -0.1173922832 -3.408001e-01 18 578
## 279 ADAMTS8 Adamts8 -0.0812073040 -3.408280e-01 18 578
## 280 ENTPD5 Entpd5 -0.0542528429 -3.409446e-01 177 578
## 281 SMOC2 Smoc2 -0.2681415743 -3.410158e-01 15 578
## 282 PROC Proc -0.0588126442 -3.410508e-01 385 578
## 283 CALCA Calca -0.1396250096 -3.410532e-01 23 578
## 284 MMP12 Mmp12 -0.1100555847 -3.411116e-01 17 578
## 285 ADAMTS15 Adamts15 -0.0672981623 -3.412491e-01 36 578
## 286 ANGPTL7 Angptl7 -0.0269846406 -3.412608e-01 13 578
## 287 IL1R2 Il1r2 -0.0837658088 -3.413588e-01 8 578
## 288 SMOC1 Smoc1 -0.1596024020 -3.414124e-01 22 578
## 289 CD40LG Cd40lg -0.1633257330 -3.416552e-01 22 578
## 290 SFRP1 Sfrp1 -0.1184478540 -3.417437e-01 128 578
## 291 NAMPT Nampt -0.0882758763 -3.419653e-01 119 578
## 292 IGFBP2 Igfbp2 -0.0532643590 -3.421024e-01 28 578
## 293 NELL2 Nell2 -0.0798950638 -3.421148e-01 10 578
## 294 PDGFB Pdgfb -0.1452605945 -3.421392e-01 17 578
## 295 SERPINA12 Serpina12 -0.1350743437 -3.421473e-01 45 578
## 296 BPIFB1 Bpifb1 -0.1279640275 -3.423060e-01 13 578
## 297 GDNF Gdnf -0.2500174975 -3.423760e-01 7 578
## 298 DKK3 Dkk3 -0.1237347804 -3.431015e-01 59 578
## 299 MUC13 Muc13 -0.1432097760 -3.431413e-01 10 578
## 300 CHL1 Chl1 -0.0848900929 -3.439054e-01 16 578
## 301 GP2 Gp2 -0.0620353942 -3.439474e-01 5 578
## 302 FRZB Frzb -0.1147412097 -3.440067e-01 6 578
## 303 VEGFA Vegfa -0.1684008555 -3.441443e-01 126 578
## 304 IL33 Il33 -0.1969702096 -3.442214e-01 18 578
## 305 TIMP3 Timp3 -0.0734806190 -3.442469e-01 58 578
## 306 FGF19 Fgf15 -0.0678009331 -3.443019e-01 5 578
## 307 FETUB Fetub -0.1970303218 -3.443232e-01 23 578
## 308 TFF3 Tff3 -0.0980222611 -3.445876e-01 22 578
## 309 ASAH2 Asah2 -0.1023455915 -3.450448e-01 23 578
## 310 COL9A1 Col9a1 -0.2020312966 -3.457495e-01 29 578
## 311 F9 F9 -0.1798353146 -3.457938e-01 20 578
## 312 DPP7 Dpp7 -0.1348623111 -3.461938e-01 101 578
## 313 BCAN Bcan -0.3484676812 -3.470875e-01 7 578
## 314 CCL20 Ccl20 -0.0949789682 -3.474828e-01 8 578
## 315 NTF3 Ntf3 -0.0852410965 -3.476837e-01 5 578
## 316 HSP90B1 Hsp90b1 -0.1177927828 -3.479086e-01 23 578
## 317 TPSAB1 Tpsab1 -0.1331698072 -3.479507e-01 28 578
## 318 APOH Apoh -0.0998846366 -3.482679e-01 25 578
## 319 LTA Lta -0.1436791344 -3.485960e-01 10 578
## 320 FSTL3 Fstl3 -0.3486553167 -3.486483e-01 4 578
## 321 MEPE Mepe -0.1649974456 -3.489386e-01 7 578
## 322 STC1 Stc1 -0.1794865514 -3.490905e-01 4 578
## 323 LEP Lep -0.2794433343 -3.496957e-01 9 578
## 324 COL18A1 Col18a1 -0.1647844099 -3.499907e-01 138 578
## 325 SORD Sord -0.0911111836 -3.501680e-01 200 578
## 326 IL2 Il2 -0.2114604003 -3.505101e-01 15 578
## 327 IGFBPL1 Igfbpl1 -0.1461709399 -3.511260e-01 13 578
## 328 MATN3 Matn3 -0.1101740290 -3.515329e-01 6 578
## 329 TGFBR3 Tgfbr3 -0.1019963850 -3.516836e-01 16 578
## 330 CRTAC1 Crtac1 -0.3524535090 -3.524535e-01 2 578
## 331 CDSN Cdsn -0.1174444309 -3.529772e-01 6 578
## 332 XCL1 Xcl1 -0.2342046907 -3.540643e-01 11 578
## 333 FASLG Fasl -0.1768203276 -3.552889e-01 4 578
## 334 CPE Cpe -0.1881559378 -3.628073e-01 4 578
## 335 FGF2 Fgf2 -0.1589442447 -3.681426e-01 3 578
## 336 ESM1 Esm1 -0.3726942822 -3.767117e-01 3 578
## 337 TNFSF11 Tnfsf11 -0.1652942693 -4.000728e-01 3 578
## fibrosis_rho fibrosis_p fibrosis_p_adj saf_rho saf_p saf_p_adj
## 1 0.156 1.63e-04 2.445000e-04 0.008 8.51e-01 9.119965e-01
## 2 0.062 1.37e-01 1.607582e-01 -0.021 6.20e-01 7.425581e-01
## 3 0.155 1.83e-04 2.736145e-04 0.025 5.46e-01 6.793852e-01
## 4 0.192 3.38e-06 5.635360e-06 0.350 4.30e-18 7.972200e-16
## 5 0.462 7.56e-32 3.385565e-31 0.026 5.27e-01 6.605344e-01
## 6 0.637 4.15e-67 8.185213e-66 0.184 8.95e-06 6.481758e-05
## 7 0.303 1.00e-13 2.260976e-13 0.117 4.68e-03 1.460727e-02
## 8 -0.063 1.31e-01 1.541079e-01 -0.005 9.08e-01 9.500181e-01
## 9 0.451 2.57e-30 1.058840e-29 0.146 4.12e-04 1.827388e-03
## 10 0.527 1.20e-42 7.833803e-42 0.143 5.41e-04 2.332591e-03
## 11 0.233 1.51e-08 2.782843e-08 0.003 9.38e-01 9.649834e-01
## 12 0.000 9.91e-01 9.942175e-01 0.215 1.71e-07 1.957000e-06
## 13 0.211 2.92e-07 5.078499e-07 0.367 6.50e-20 3.012750e-17
## 14 -0.386 5.06e-22 1.537908e-21 -0.094 2.43e-02 6.071725e-02
## 15 0.411 6.37e-25 2.178963e-24 0.268 5.58e-11 2.248983e-09
## 16 0.621 6.81e-63 1.069978e-61 0.156 1.72e-04 8.572258e-04
## 17 0.149 3.39e-04 4.972358e-04 -0.059 1.54e-01 2.619413e-01
## 18 -0.181 1.22e-05 1.946540e-05 -0.073 8.07e-02 1.558519e-01
## 19 0.718 7.63e-93 5.052150e-91 0.243 3.25e-09 7.006395e-08
## 20 0.147 4.01e-04 5.863202e-04 0.208 4.46e-07 4.593800e-06
## 21 0.178 1.73e-05 2.736706e-05 0.053 2.03e-01 3.278415e-01
## 22 -0.016 7.09e-01 7.393060e-01 0.111 7.65e-03 2.216109e-02
## 23 -0.309 2.77e-14 6.371687e-14 0.074 7.69e-02 1.507110e-01
## 24 -0.217 1.35e-07 2.374668e-07 -0.089 3.29e-02 7.800077e-02
## 25 -0.141 6.63e-04 9.603141e-04 0.004 9.19e-01 9.560987e-01
## 26 -0.251 9.86e-10 1.912180e-09 -0.039 3.54e-01 4.994795e-01
## 27 0.391 1.39e-22 4.252574e-22 0.010 8.18e-01 8.889637e-01
## 28 0.038 3.68e-01 4.056314e-01 0.134 1.25e-03 4.768519e-03
## 29 0.723 1.10e-94 9.270000e-93 0.238 7.43e-09 1.377522e-07
## 30 0.654 7.94e-72 1.989292e-70 0.155 1.79e-04 8.873422e-04
## 31 0.706 2.31e-88 1.338356e-86 0.235 1.09e-08 1.804339e-07
## 32 0.664 1.27e-74 3.567545e-73 0.216 1.52e-07 1.761300e-06
## 33 0.036 3.86e-01 4.239597e-01 -0.016 6.97e-01 7.966942e-01
## 34 -0.147 3.94e-04 5.769953e-04 0.116 5.15e-03 1.591350e-02
## 35 -0.157 1.51e-04 2.272354e-04 -0.002 9.62e-01 9.756827e-01
## 36 0.185 7.38e-06 1.202330e-05 0.073 7.97e-02 1.548887e-01
## 37 0.085 4.10e-02 5.115343e-02 0.264 1.11e-10 4.115880e-09
## 38 0.000 9.93e-01 9.951470e-01 -0.008 8.50e-01 9.119792e-01
## 39 -0.367 6.50e-20 1.848313e-19 -0.218 1.23e-07 1.480792e-06
## 40 0.073 7.83e-02 9.463377e-02 -0.043 2.98e-01 4.419936e-01
## 41 0.615 2.50e-61 3.565385e-60 0.182 1.03e-05 7.125448e-05
## 42 0.033 4.30e-01 4.673036e-01 0.005 9.08e-01 9.500181e-01
## 43 -0.183 9.67e-06 1.567149e-05 0.097 2.01e-02 5.219244e-02
## 44 0.102 1.43e-02 1.854000e-02 0.032 4.43e-01 5.841550e-01
## 45 0.541 3.62e-45 2.750607e-44 0.233 1.38e-08 2.244316e-07
## 46 -0.528 7.91e-43 5.237550e-42 -0.148 3.55e-04 1.629134e-03
## 47 0.176 2.12e-05 3.342245e-05 0.120 4.00e-03 1.283045e-02
## 48 0.104 1.24e-02 1.618986e-02 0.225 4.43e-08 6.039132e-07
## 49 0.113 6.48e-03 8.693140e-03 -0.055 1.91e-01 3.117058e-01
## 50 -0.509 1.96e-39 1.157274e-38 -0.142 6.39e-04 2.704808e-03
## 51 -0.091 2.82e-02 3.576115e-02 0.045 2.82e-01 4.223166e-01
## 52 0.451 2.89e-30 1.185412e-29 0.082 4.91e-02 1.065941e-01
## 53 -0.505 9.72e-39 5.631525e-38 -0.190 4.20e-06 3.299492e-05
## 54 0.600 9.24e-58 1.173353e-56 0.370 3.78e-20 3.012750e-17
## 55 -0.131 1.59e-03 2.253716e-03 -0.081 5.03e-02 1.081858e-01
## 56 0.469 5.65e-33 2.658655e-32 0.215 1.87e-07 2.114012e-06
## 57 0.630 3.31e-65 5.900712e-64 0.271 3.30e-11 1.456714e-09
## 58 0.534 6.94e-44 4.765467e-43 0.152 2.51e-04 1.205580e-03
## 59 -0.128 1.98e-03 2.785220e-03 0.075 7.17e-02 1.420212e-01
## 60 0.149 3.18e-04 4.679143e-04 0.006 8.82e-01 9.312232e-01
## 61 0.452 2.18e-30 9.021696e-30 0.264 1.17e-10 4.171500e-09
## 62 0.041 3.30e-01 3.667986e-01 0.196 1.95e-06 1.636865e-05
## 63 0.218 1.18e-07 2.079582e-07 -0.127 2.22e-03 7.824867e-03
## 64 -0.186 6.41e-06 1.049836e-05 -0.059 1.54e-01 2.619413e-01
## 65 0.357 8.27e-19 2.261442e-18 0.125 2.60e-03 8.926667e-03
## 66 0.489 4.20e-36 2.163000e-35 0.257 3.79e-10 1.064645e-08
## 67 -0.163 8.45e-05 1.294736e-04 0.083 4.62e-02 1.022134e-01
## 68 -0.181 1.20e-05 1.917931e-05 0.067 1.08e-01 1.944000e-01
## 69 -0.355 1.35e-18 3.648542e-18 -0.057 1.72e-01 2.852308e-01
## 70 0.245 2.30e-09 4.396082e-09 0.196 1.96e-06 1.636865e-05
## 71 0.143 5.59e-04 8.122147e-04 0.139 8.33e-04 3.357352e-03
## 72 0.720 1.75e-93 1.247885e-91 0.226 3.82e-08 5.285284e-07
## 73 0.045 2.80e-01 3.142373e-01 0.069 9.94e-02 1.839198e-01
## 74 0.027 5.19e-01 5.568438e-01 0.024 5.71e-01 6.992299e-01
## 75 -0.537 1.66e-44 1.183708e-43 -0.040 3.36e-01 4.814096e-01
## 76 0.626 3.52e-64 5.932800e-63 0.108 9.20e-03 2.600122e-02
## 77 -0.466 1.52e-32 7.045200e-32 0.037 3.76e-01 5.202269e-01
## 78 0.243 3.03e-09 5.743988e-09 0.107 1.03e-02 2.875934e-02
## 79 0.342 2.87e-17 7.369778e-17 0.087 3.74e-02 8.560444e-02
## 80 -0.029 4.83e-01 5.218427e-01 0.033 4.23e-01 5.674689e-01
## 81 0.461 7.99e-32 3.552761e-31 0.097 1.92e-02 5.056364e-02
## 82 0.120 3.87e-03 5.322685e-03 0.043 3.04e-01 4.473143e-01
## 83 0.392 1.29e-22 3.972857e-22 0.024 5.63e-01 6.940173e-01
## 84 0.157 1.51e-04 2.272354e-04 -0.002 9.67e-01 9.786124e-01
## 85 0.737 3.68e-100 4.873371e-98 0.209 3.99e-07 4.251414e-06
## 86 0.562 2.21e-49 1.989000e-48 0.068 1.03e-01 1.879547e-01
## 87 0.373 1.65e-20 4.794828e-20 0.284 3.38e-12 2.238043e-10
## 88 -0.188 5.66e-06 9.286407e-06 0.082 4.79e-02 1.054408e-01
## 89 0.096 2.07e-02 2.657742e-02 -0.031 4.64e-01 6.066685e-01
## 90 0.599 1.35e-57 1.691149e-56 0.097 1.99e-02 5.196423e-02
## 91 0.183 9.43e-06 1.530930e-05 0.020 6.23e-01 7.442281e-01
## 92 -0.257 3.83e-10 7.570171e-10 0.089 3.31e-02 7.807557e-02
## 93 0.125 2.63e-03 3.638821e-03 -0.073 7.87e-02 1.535893e-01
## 94 0.329 4.47e-16 1.104984e-15 0.089 3.26e-02 7.748769e-02
## 95 -0.181 1.13e-05 1.815442e-05 0.114 6.25e-03 1.875000e-02
## 96 0.161 1.05e-04 1.595656e-04 0.019 6.57e-01 7.651244e-01
## 97 0.213 2.38e-07 4.147105e-07 0.186 7.12e-06 5.197039e-05
## 98 0.085 4.17e-02 5.181756e-02 0.052 2.10e-01 3.385565e-01
## 99 0.220 9.23e-08 1.632865e-07 0.278 9.94e-12 5.119100e-10
## 100 0.045 2.79e-01 3.134945e-01 0.019 6.41e-01 7.559885e-01
## 101 -0.364 1.65e-19 4.579491e-19 0.016 7.04e-01 8.007460e-01
## 102 0.521 1.64e-41 1.034204e-40 0.242 3.97e-09 8.040717e-08
## 103 -0.328 5.84e-16 1.428412e-15 -0.062 1.38e-01 2.400113e-01
## 104 0.052 2.08e-01 2.380444e-01 0.019 6.51e-01 7.610050e-01
## 105 -0.245 2.42e-09 4.615926e-09 0.029 4.82e-01 6.214381e-01
## 106 0.370 3.26e-20 9.385155e-20 0.331 2.91e-16 4.495950e-14
## 107 0.412 4.11e-25 1.421631e-24 0.171 3.74e-05 2.222423e-04
## 108 0.320 3.04e-15 7.188980e-15 0.286 2.35e-12 1.675731e-10
## 109 0.020 6.25e-01 6.591297e-01 0.135 1.18e-03 4.576820e-03
## 110 -0.042 3.14e-01 3.515435e-01 -0.074 7.36e-02 1.448561e-01
## 111 0.070 9.45e-02 1.136206e-01 -0.057 1.71e-01 2.840806e-01
## 112 0.317 6.43e-15 1.505205e-14 0.171 3.70e-05 2.222423e-04
## 113 0.179 1.45e-05 2.301627e-05 0.086 3.83e-02 8.680709e-02
## 114 0.493 9.28e-37 4.972578e-36 0.175 2.29e-05 1.444102e-04
## 115 0.121 3.61e-03 4.972467e-03 -0.076 6.70e-02 1.344351e-01
## 116 0.328 5.84e-16 1.428412e-15 0.134 1.28e-03 4.823415e-03
## 117 -0.214 2.12e-07 3.708000e-07 -0.032 4.40e-01 5.818545e-01
## 118 -0.109 8.65e-03 1.148789e-02 0.039 3.44e-01 4.883430e-01
## 119 0.427 4.44e-27 1.639793e-26 0.095 2.26e-02 5.724098e-02
## 120 -0.174 2.54e-05 3.984061e-05 0.012 7.73e-01 8.500249e-01
## 121 -0.192 3.21e-06 5.361568e-06 -0.100 1.63e-02 4.418158e-02
## 122 0.631 1.52e-65 2.762824e-64 0.183 9.18e-06 6.596791e-05
## 123 -0.178 1.61e-05 2.551231e-05 -0.057 1.73e-01 2.858663e-01
## 124 0.566 3.19e-50 3.017480e-49 0.175 2.24e-05 1.438448e-04
## 125 0.308 3.29e-14 7.549084e-14 0.131 1.60e-03 5.862451e-03
## 126 0.339 5.24e-17 1.338149e-16 -0.037 3.74e-01 5.182332e-01
## 127 0.048 2.46e-01 2.787800e-01 0.081 5.30e-02 1.128984e-01
## 128 -0.352 2.90e-18 7.702865e-18 -0.033 4.32e-01 5.729099e-01
## 129 0.570 4.12e-51 4.063021e-50 0.125 2.53e-03 8.751157e-03
## 130 0.251 1.01e-09 1.950562e-09 0.162 8.87e-05 4.780517e-04
## 131 -0.435 4.93e-28 1.880704e-27 -0.071 8.74e-02 1.653465e-01
## 132 0.424 1.19e-26 4.309102e-26 0.121 3.53e-03 1.140178e-02
## 133 0.408 1.28e-24 4.314764e-24 0.153 2.31e-04 1.127037e-03
## 134 0.173 2.80e-05 4.384459e-05 0.071 8.60e-02 1.633648e-01
## 135 0.384 9.61e-22 2.883000e-21 0.279 8.31e-12 4.531394e-10
## 136 0.645 1.98e-69 4.370143e-68 0.228 2.82e-08 4.084594e-07
## 137 0.122 3.25e-03 4.483259e-03 0.095 2.29e-02 5.752927e-02
## 138 -0.292 7.49e-13 1.641426e-12 0.015 7.11e-01 8.027978e-01
## 139 0.224 5.47e-08 9.788977e-08 0.156 1.64e-04 8.217730e-04
## 140 0.375 8.60e-21 2.514890e-20 0.005 8.98e-01 9.438163e-01
## 141 0.046 2.74e-01 3.086245e-01 0.059 1.60e-01 2.701639e-01
## 142 -0.351 3.25e-18 8.607857e-18 -0.021 6.11e-01 7.346265e-01
## 143 -0.029 4.84e-01 5.223143e-01 0.147 3.95e-04 1.760409e-03
## 144 -0.263 1.29e-10 2.593991e-10 -0.003 9.42e-01 9.659668e-01
## 145 0.166 5.97e-05 9.223650e-05 0.140 7.18e-04 2.958160e-03
## 146 0.650 1.44e-70 3.422769e-69 0.251 9.88e-10 2.348400e-08
## 147 0.112 7.01e-03 9.377013e-03 0.171 3.60e-05 2.181176e-04
## 148 0.060 1.53e-01 1.784038e-01 0.029 4.81e-01 6.210125e-01
## 149 -0.012 7.79e-01 8.032625e-01 0.147 3.82e-04 1.710696e-03
## 150 0.135 1.11e-03 1.580599e-03 0.116 5.32e-03 1.638419e-02
## 151 0.329 5.07e-16 1.249971e-15 0.158 1.39e-04 7.041148e-04
## 152 -0.184 8.34e-06 1.356347e-05 -0.035 3.97e-01 5.404097e-01
## 153 0.327 6.72e-16 1.635024e-15 0.133 1.34e-03 5.029069e-03
## 154 -0.031 4.59e-01 4.970713e-01 0.169 4.39e-05 2.575652e-04
## 155 0.028 5.04e-01 5.426341e-01 0.057 1.74e-01 2.870071e-01
## 156 0.564 9.17e-50 8.586455e-49 0.147 3.81e-04 1.710696e-03
## 157 0.113 6.76e-03 9.055665e-03 0.172 3.22e-05 1.989960e-04
## 158 0.115 5.62e-03 7.638915e-03 0.153 2.30e-04 1.127037e-03
## 159 0.077 6.55e-02 8.020938e-02 0.117 4.89e-03 1.516064e-02
## 160 0.537 1.48e-44 1.063535e-43 0.262 1.63e-10 5.396464e-09
## 161 0.459 2.11e-31 9.182958e-31 0.209 4.14e-07 4.343360e-06
## 162 0.745 1.56e-103 2.892240e-101 0.254 6.26e-10 1.568384e-08
## 163 0.060 1.50e-01 1.751259e-01 0.225 4.57e-08 6.084254e-07
## 164 -0.195 2.40e-06 4.030435e-06 0.012 7.82e-01 8.568723e-01
## 165 -0.015 7.21e-01 7.501313e-01 0.009 8.21e-01 8.901368e-01
## 166 -0.107 9.95e-03 1.310178e-02 0.022 5.98e-01 7.248995e-01
## 167 0.635 1.19e-66 2.298187e-65 0.264 1.22e-10 4.188667e-09
## 168 0.016 6.98e-01 7.303002e-01 0.038 3.63e-01 5.083097e-01
## 169 0.490 3.44e-36 1.781497e-35 0.084 4.30e-02 9.605060e-02
## 170 0.492 1.46e-36 7.689886e-36 0.200 1.33e-06 1.152252e-05
## 171 -0.403 6.20e-24 2.030883e-23 -0.062 1.39e-01 2.408467e-01
## 172 0.065 1.18e-01 1.397011e-01 0.158 1.31e-04 6.784190e-04
## 173 -0.057 1.70e-01 1.967416e-01 0.192 3.43e-06 2.741043e-05
## 174 -0.091 2.89e-02 3.659877e-02 -0.049 2.35e-01 3.679814e-01
## 175 -0.276 1.48e-11 3.062411e-11 -0.178 1.67e-05 1.121804e-04
## 176 0.472 2.18e-33 1.031051e-32 0.167 5.42e-05 3.120708e-04
## 177 0.024 5.61e-01 5.963842e-01 -0.033 4.35e-01 5.760643e-01
## 178 -0.381 2.23e-21 6.625673e-21 -0.177 1.86e-05 1.222851e-04
## 179 0.080 5.54e-02 6.820159e-02 0.047 2.56e-01 3.922512e-01
## 180 0.066 1.12e-01 1.331077e-01 -0.030 4.74e-01 6.145427e-01
## 181 0.037 3.73e-01 4.106544e-01 0.070 9.30e-02 1.741636e-01
## 182 0.479 1.70e-34 8.382447e-34 0.298 2.46e-13 2.073109e-11
## 183 0.413 3.13e-25 1.090793e-24 0.022 6.02e-01 7.271532e-01
## 184 0.144 5.16e-04 7.509137e-04 -0.024 5.69e-01 6.986265e-01
## 185 -0.269 4.69e-11 9.576278e-11 -0.030 4.68e-01 6.101772e-01
## 186 0.151 2.78e-04 4.097075e-04 0.072 8.33e-02 1.592146e-01
## 187 0.034 4.11e-01 4.487597e-01 0.078 6.22e-02 1.267240e-01
## 188 0.291 9.11e-13 1.982387e-12 0.069 9.71e-02 1.803842e-01
## 189 0.629 5.86e-65 1.024947e-63 0.202 1.00e-06 9.000000e-06
## 190 0.457 3.65e-31 1.559240e-30 0.119 4.02e-03 1.285014e-02
## 191 -0.066 1.10e-01 1.310668e-01 -0.050 2.34e-01 3.676576e-01
## 192 0.440 9.30e-29 3.637595e-28 0.170 3.81e-05 2.249599e-04
## 193 0.174 2.52e-05 3.959390e-05 0.015 7.28e-01 8.172826e-01
## 194 -0.058 1.65e-01 1.916729e-01 -0.107 1.02e-02 2.865273e-02
## 195 0.562 2.13e-49 1.935794e-48 0.238 6.51e-09 1.257244e-07
## 196 0.139 8.04e-04 1.159110e-03 -0.011 7.88e-01 8.583737e-01
## 197 0.151 2.78e-04 4.097075e-04 0.039 3.44e-01 4.883430e-01
## 198 0.320 3.18e-15 7.500916e-15 0.063 1.33e-01 2.317500e-01
## 199 0.127 2.17e-03 3.034072e-03 0.243 3.16e-09 6.974571e-08
## 200 0.235 1.08e-08 2.006333e-08 -0.016 7.00e-01 7.981550e-01
## 201 0.335 1.22e-16 3.081580e-16 0.259 2.53e-10 7.329094e-09
## 202 0.109 8.63e-03 1.147778e-02 0.002 9.71e-01 9.804614e-01
## 203 -0.113 6.47e-03 8.692304e-03 0.070 9.07e-02 1.705454e-01
## 204 -0.073 8.15e-02 9.837305e-02 0.092 2.76e-02 6.750712e-02
## 205 0.537 1.41e-44 1.021148e-43 0.177 1.93e-05 1.259937e-04
## 206 0.360 3.54e-19 9.708817e-19 0.132 1.53e-03 5.628214e-03
## 207 0.075 7.15e-02 8.721118e-02 -0.068 1.02e-01 1.868656e-01
## 208 0.276 1.39e-11 2.882617e-11 0.041 3.29e-01 4.757925e-01
## 209 -0.245 2.56e-09 4.872936e-09 0.109 8.59e-03 2.442617e-02
## 210 0.085 4.15e-02 5.170766e-02 0.090 3.12e-02 7.473488e-02
## 211 0.642 1.40e-68 2.884000e-67 0.232 1.65e-08 2.637155e-07
## 212 -0.232 1.56e-08 2.869286e-08 0.136 1.06e-03 4.146076e-03
## 213 0.412 4.43e-25 1.526621e-24 0.134 1.22e-03 4.711612e-03
## 214 0.519 3.38e-41 2.117068e-40 0.134 1.23e-03 4.711612e-03
## 215 0.168 4.69e-05 7.270284e-05 0.055 1.90e-01 3.111837e-01
## 216 0.208 4.55e-07 7.854469e-07 0.018 6.71e-01 7.755823e-01
## 217 0.488 6.09e-36 3.101885e-35 0.086 3.80e-02 8.655037e-02
## 218 0.255 4.86e-10 9.544958e-10 0.024 5.62e-01 6.937071e-01
## 219 0.350 4.12e-18 1.085011e-17 0.112 6.94e-03 2.042343e-02
## 220 0.528 9.61e-43 6.318064e-42 0.066 1.11e-01 1.982601e-01
## 221 0.564 9.39e-50 8.704530e-49 0.160 1.16e-04 6.075254e-04
## 222 0.412 3.87e-25 1.343629e-24 0.201 1.07e-06 9.357453e-06
## 223 0.577 1.08e-52 1.112400e-51 0.242 3.99e-09 8.040717e-08
## 224 0.370 3.14e-20 9.096188e-20 0.087 3.60e-02 8.322195e-02
## 225 0.333 2.18e-16 5.461784e-16 0.079 5.77e-02 1.201975e-01
## 226 0.057 1.71e-01 1.971604e-01 0.037 3.81e-01 5.255759e-01
## 227 -0.120 4.01e-03 5.507067e-03 -0.017 6.78e-01 7.807528e-01
## 228 -0.126 2.38e-03 3.307736e-03 0.022 5.99e-01 7.248995e-01
## 229 0.534 6.34e-44 4.385955e-43 0.076 6.75e-02 1.351458e-01
## 230 0.286 2.40e-12 5.126267e-12 0.022 5.98e-01 7.248995e-01
## 231 0.411 5.12e-25 1.757867e-24 0.064 1.26e-01 2.216357e-01
## 232 0.166 6.28e-05 9.686456e-05 0.066 1.12e-01 1.996615e-01
## 233 0.410 8.47e-25 2.886651e-24 0.114 5.88e-03 1.769727e-02
## 234 0.053 2.06e-01 2.360470e-01 0.078 5.97e-02 1.235310e-01
## 235 -0.190 4.11e-06 6.803518e-06 -0.048 2.53e-01 3.889403e-01
## 236 0.269 5.30e-11 1.077434e-10 -0.016 7.09e-01 8.024945e-01
## 237 -0.057 1.71e-01 1.971604e-01 -0.032 4.42e-01 5.836667e-01
## 238 -0.028 5.03e-01 5.421872e-01 -0.040 3.39e-01 4.842111e-01
## 239 0.494 6.63e-37 3.573262e-36 0.020 6.26e-01 7.468494e-01
## 240 0.672 3.91e-77 1.169216e-75 0.222 7.03e-08 8.806500e-07
## 241 -0.211 3.19e-07 5.537697e-07 0.062 1.39e-01 2.408467e-01
## 242 -0.362 2.72e-19 7.482018e-19 -0.050 2.26e-01 3.581231e-01
## 243 -0.445 1.80e-29 7.254783e-29 -0.097 1.96e-02 5.132542e-02
## 244 0.552 1.78e-47 1.447421e-46 0.245 2.43e-09 5.494171e-08
## 245 0.649 2.43e-70 5.631525e-69 0.164 7.57e-05 4.174243e-04
## 246 0.248 1.49e-09 2.865622e-09 0.082 4.96e-02 1.069284e-01
## 247 0.025 5.53e-01 5.892310e-01 0.023 5.88e-01 7.181502e-01
## 248 0.663 1.42e-74 3.871588e-73 0.152 2.48e-04 1.197375e-03
## 249 -0.457 3.14e-31 1.353851e-30 -0.065 1.21e-01 2.136514e-01
## 250 -0.413 2.83e-25 9.899660e-25 0.005 9.12e-01 9.530980e-01
## 251 0.688 2.32e-82 8.271692e-81 0.121 3.48e-03 1.139915e-02
## 252 0.033 4.24e-01 4.613239e-01 0.001 9.74e-01 9.812928e-01
## 253 0.303 9.70e-14 2.198509e-13 0.083 4.67e-02 1.030736e-01
## 254 0.304 8.42e-14 1.913074e-13 0.001 9.89e-01 9.911384e-01
## 255 0.446 1.35e-29 5.464847e-29 0.236 1.00e-08 1.716667e-07
## 256 0.016 7.10e-01 7.395169e-01 -0.019 6.55e-01 7.647166e-01
## 257 -0.142 6.34e-04 9.197465e-04 0.118 4.35e-03 1.371582e-02
## 258 -0.459 1.65e-31 7.249052e-31 -0.026 5.27e-01 6.605344e-01
## 259 -0.042 3.18e-01 3.555923e-01 0.042 3.19e-01 4.656898e-01
## 260 0.263 1.41e-10 2.829156e-10 0.086 3.82e-02 8.679265e-02
## 261 0.336 1.13e-16 2.862049e-16 0.073 8.06e-02 1.558519e-01
## 262 -0.431 1.74e-27 6.530283e-27 -0.115 5.53e-03 1.680757e-02
## 263 0.151 2.65e-04 3.917943e-04 0.328 5.92e-16 7.839771e-14
## 264 -0.093 2.48e-02 3.153580e-02 -0.080 5.46e-02 1.147215e-01
## 265 -0.301 1.35e-13 3.030145e-13 0.025 5.53e-01 6.844206e-01
## 266 0.199 1.40e-06 2.372578e-06 -0.019 6.50e-01 7.610050e-01
## 267 -0.284 3.52e-12 7.484037e-12 0.033 4.28e-01 5.705638e-01
## 268 -0.016 6.99e-01 7.305220e-01 0.112 7.14e-03 2.087943e-02
## 269 -0.079 5.69e-02 6.995531e-02 0.038 3.60e-01 5.056364e-01
## 270 -0.251 8.84e-10 1.721571e-09 -0.147 3.75e-04 1.695732e-03
## 271 0.585 2.89e-54 3.044352e-53 0.214 2.19e-07 2.445940e-06
## 272 -0.396 3.93e-23 1.230780e-22 -0.015 7.11e-01 8.027978e-01
## 273 0.381 1.92e-21 5.722958e-21 -0.004 9.26e-01 9.591084e-01
## 274 0.689 1.09e-82 4.210125e-81 0.191 3.66e-06 2.899846e-05
## 275 0.074 7.45e-02 9.039463e-02 -0.123 3.09e-03 1.045412e-02
## 276 0.555 6.37e-48 5.319811e-47 0.140 7.63e-04 3.115863e-03
## 277 0.379 3.56e-21 1.050994e-20 -0.033 4.25e-01 5.685065e-01
## 278 0.000 9.96e-01 9.970756e-01 -0.022 6.04e-01 7.271532e-01
## 279 0.153 2.20e-04 3.278778e-04 -0.068 1.02e-01 1.868656e-01
## 280 -0.426 6.88e-27 2.520854e-26 -0.078 6.20e-02 1.265947e-01
## 281 0.697 3.58e-85 1.508482e-83 0.145 4.51e-04 1.981408e-03
## 282 -0.498 1.39e-37 7.669821e-37 -0.071 8.87e-02 1.671238e-01
## 283 0.050 2.28e-01 2.596511e-01 0.058 1.64e-01 2.744188e-01
## 284 0.078 5.95e-02 7.305497e-02 0.036 3.88e-01 5.328533e-01
## 285 0.396 3.42e-23 1.078347e-22 0.078 5.99e-02 1.236688e-01
## 286 -0.019 6.42e-01 6.747551e-01 -0.071 8.85e-02 1.670866e-01
## 287 -0.089 3.19e-02 4.023306e-02 -0.048 2.50e-01 3.862500e-01
## 288 -0.550 5.62e-47 4.377933e-46 -0.100 1.66e-02 4.473314e-02
## 289 0.616 9.90e-62 1.480210e-60 0.199 1.35e-06 1.158750e-05
## 290 0.113 6.32e-03 8.527860e-03 0.150 3.07e-04 1.444614e-03
## 291 -0.030 4.68e-01 5.062264e-01 -0.128 2.11e-03 7.522962e-03
## 292 0.119 4.16e-03 5.704615e-03 -0.119 4.12e-03 1.307959e-02
## 293 0.566 2.69e-50 2.570753e-49 0.206 6.02e-07 5.936745e-06
## 294 0.369 3.91e-20 1.118694e-19 0.027 5.15e-01 6.539795e-01
## 295 -0.068 1.04e-01 1.243974e-01 0.013 7.53e-01 8.329726e-01
## 296 0.049 2.35e-01 2.672945e-01 -0.044 2.86e-01 4.276161e-01
## 297 0.330 4.06e-16 1.006316e-15 0.103 1.36e-02 3.718938e-02
## 298 0.736 8.25e-100 8.497500e-98 0.204 7.96e-07 7.529510e-06
## 299 0.402 7.09e-24 2.306116e-23 0.058 1.66e-01 2.772649e-01
## 300 -0.014 7.38e-01 7.660985e-01 -0.210 3.32e-07 3.620753e-06
## 301 0.145 4.51e-04 6.573538e-04 -0.050 2.34e-01 3.676576e-01
## 302 0.585 2.08e-54 2.242047e-53 0.134 1.27e-03 4.805265e-03
## 303 -0.430 2.16e-27 8.041446e-27 -0.178 1.72e-05 1.147079e-04
## 304 -0.236 9.18e-09 1.712245e-08 0.027 5.10e-01 6.485185e-01
## 305 0.613 4.88e-61 6.854182e-60 0.141 7.00e-04 2.896875e-03
## 306 0.253 6.68e-10 1.306405e-09 -0.083 4.56e-02 1.013698e-01
## 307 -0.508 2.70e-39 1.584114e-38 -0.076 6.62e-02 1.333191e-01
## 308 0.244 3.01e-09 5.717766e-09 0.078 6.11e-02 1.255869e-01
## 309 -0.157 1.53e-04 2.298720e-04 0.047 2.60e-01 3.964145e-01
## 310 0.198 1.64e-06 2.769180e-06 0.006 8.82e-01 9.312232e-01
## 311 -0.373 1.58e-20 4.605849e-20 -0.065 1.16e-01 2.056061e-01
## 312 -0.010 8.09e-01 8.286663e-01 0.105 1.18e-02 3.255536e-02
## 313 0.204 7.82e-07 1.337480e-06 -0.008 8.55e-01 9.131164e-01
## 314 0.500 7.68e-38 4.288771e-37 0.195 2.39e-06 1.943447e-05
## 315 -0.002 9.52e-01 9.582020e-01 0.002 9.65e-01 9.776557e-01
## 316 -0.036 3.91e-01 4.289432e-01 0.015 7.23e-01 8.143633e-01
## 317 0.362 2.71e-19 7.476696e-19 0.056 1.79e-01 2.942074e-01
## 318 -0.307 4.09e-14 9.361556e-14 -0.019 6.45e-01 7.578137e-01
## 319 0.232 1.63e-08 2.992099e-08 0.102 1.42e-02 3.860235e-02
## 320 0.552 2.53e-47 2.039400e-46 0.205 7.11e-07 6.842598e-06
## 321 0.097 2.03e-02 2.613625e-02 0.028 5.04e-01 6.435372e-01
## 322 0.553 1.19e-47 9.762212e-47 0.038 3.61e-01 5.062738e-01
## 323 0.108 9.30e-03 1.229829e-02 0.025 5.48e-01 6.800482e-01
## 324 -0.438 1.66e-28 6.385145e-28 -0.022 5.92e-01 7.201890e-01
## 325 -0.595 1.31e-56 1.577104e-55 -0.121 3.51e-03 1.140178e-02
## 326 0.370 3.76e-20 1.079108e-19 0.046 2.70e-01 4.096399e-01
## 327 0.357 8.47e-19 2.309321e-18 0.145 4.83e-04 2.111986e-03
## 328 0.348 7.14e-18 1.859208e-17 0.017 6.90e-01 7.906428e-01
## 329 -0.042 3.19e-01 3.562807e-01 -0.141 6.65e-04 2.781000e-03
## 330 0.251 9.66e-10 1.877321e-09 -0.020 6.33e-01 7.522962e-01
## 331 0.165 6.43e-05 9.901346e-05 0.016 7.07e-01 8.012090e-01
## 332 0.115 5.73e-03 7.765658e-03 0.167 5.58e-05 3.193000e-04
## 333 0.264 1.16e-10 2.337652e-10 0.237 8.46e-09 1.479702e-07
## 334 0.287 1.92e-12 4.120000e-12 0.008 8.52e-01 9.120139e-01
## 335 0.036 3.82e-01 4.200641e-01 -0.075 7.31e-02 1.443753e-01
## 336 0.181 1.16e-05 1.860415e-05 0.064 1.24e-01 2.185323e-01
## 337 0.170 4.16e-05 6.470336e-05 -0.016 7.00e-01 7.981550e-01
## nas_lobular_rho nas_lobular_p nas_lobular_p_adj Protein Sgn_AS
## 1 0.010 8.14e-01 8.877388e-01 CHGB 2.864302903
## 2 -0.020 6.34e-01 7.458350e-01 GHRL 1.883479495
## 3 0.018 6.58e-01 7.682191e-01 THBS4 0.125752052
## 4 0.343 1.91e-17 3.541140e-15 LPL 1.014440029
## 5 0.017 6.84e-01 7.876621e-01 IGFBP6 0.987194412
## 6 0.183 9.22e-06 6.474955e-05 CCDC80 0.645188118
## 7 0.114 6.30e-03 1.902313e-02 CCL17 0.617068692
## 8 -0.005 8.95e-01 9.417143e-01 ADM 4.163587284
## 9 0.137 9.67e-04 3.897430e-03 IL7 0.631586540
## 10 0.144 4.94e-04 2.223000e-03 LIF 0.185311121
## 11 0.006 8.78e-01 9.291164e-01 CTF1 0.940786106
## 12 0.214 1.96e-07 2.215756e-06 GRN 1.082898125
## 13 0.369 4.40e-20 4.078800e-17 CXCL10 1.392796862
## 14 -0.085 4.00e-02 9.043902e-02 SMPDL3A -0.073885385
## 15 0.277 1.32e-11 6.257250e-10 CCL5 0.068984269
## 16 0.156 1.73e-04 8.811593e-04 ENPP5 -0.302353835
## 17 -0.052 2.14e-01 3.456063e-01 IGFBP1 2.286318498
## 18 -0.065 1.16e-01 2.104344e-01 ANGPTL4 0.177266558
## 19 0.241 4.47e-09 9.352400e-08 DCN 2.956122104
## 20 0.203 8.35e-07 7.884182e-06 SPON2 3.362041770
## 21 0.044 2.94e-01 4.353642e-01 NRCAM 0.242066273
## 22 0.109 9.03e-03 2.615878e-02 MATN2 2.329190657
## 23 0.075 7.22e-02 1.442221e-01 CXCL14 0.089694811
## 24 -0.093 2.50e-02 6.213137e-02 REN 2.415144094
## 25 0.011 7.99e-01 8.775746e-01 LBP 0.675062720
## 26 -0.036 3.86e-01 5.283490e-01 CD163 1.049115172
## 27 0.023 5.87e-01 7.113059e-01 SCGN 0.284231648
## 28 0.135 1.17e-03 4.519125e-03 IFNG 0.240151414
## 29 0.239 5.97e-09 1.177487e-07 IGFBP7 5.252820560
## 30 0.158 1.31e-04 6.979138e-04 PRELP 0.158025606
## 31 0.233 1.39e-08 2.342782e-07 FAP -0.378691640
## 32 0.222 7.06e-08 9.349457e-07 VCAN 2.590075349
## 33 -0.017 6.79e-01 7.858090e-01 REG1A 2.654332443
## 34 0.128 2.11e-03 7.552008e-03 CXCL16 2.234212607
## 35 0.002 9.66e-01 9.839835e-01 TSLP -0.178310600
## 36 0.080 5.38e-02 1.138644e-01 FOLR1 1.017964211
## 37 0.267 7.31e-11 2.710548e-09 TGFBI -0.112336878
## 38 -0.009 8.30e-01 8.967483e-01 PNLIPRP2 -0.812698253
## 39 -0.217 1.43e-07 1.699500e-06 EFNA1 4.703298593
## 40 -0.035 4.01e-01 5.410873e-01 CXCL13 2.645472330
## 41 0.186 6.70e-06 4.814651e-05 SPINT1 3.454275580
## 42 -0.004 9.23e-01 9.570033e-01 GKN1 0.103684173
## 43 0.102 1.42e-02 3.860235e-02 C1QA -0.006809940
## 44 0.038 3.61e-01 5.085821e-01 PRSS2 0.994686222
## 45 0.237 7.53e-09 1.424553e-07 LGALS3 -0.147053601
## 46 -0.141 6.48e-04 2.755486e-03 ST3GAL1 0.997886225
## 47 0.117 4.85e-03 1.529235e-02 NGF 0.771081986
## 48 0.219 9.80e-08 1.211280e-06 PLA2G7 -0.301913603
## 49 -0.056 1.79e-01 2.979048e-01 MMP1 0.322282304
## 50 -0.135 1.12e-03 4.344100e-03 GFOD2 0.020697529
## 51 0.045 2.84e-01 4.266904e-01 CD40 0.932942093
## 52 0.090 3.10e-02 7.312214e-02 CHRDL2 0.208346432
## 53 -0.189 4.76e-06 3.616820e-05 PON3 0.257306026
## 54 0.366 1.02e-19 4.727700e-17 COL1A1 0.409813103
## 55 -0.086 3.87e-02 8.792868e-02 SFTPD 0.147026389
## 56 0.219 1.07e-07 1.288169e-06 CPXM1 -0.117177763
## 57 0.272 3.07e-11 1.293586e-09 CCL21 1.089259931
## 58 0.149 3.32e-04 1.602937e-03 CNTN4 -1.190063002
## 59 0.075 7.25e-02 1.442221e-01 CX3CL1 0.374946259
## 60 0.006 8.85e-01 9.333276e-01 SCG3 0.295590578
## 61 0.268 5.73e-11 2.213213e-09 TGFB1 0.484668357
## 62 0.192 3.52e-06 2.765288e-05 LGALS1 1.576268937
## 63 -0.117 4.68e-03 1.490845e-02 PDGFC -0.000624422
## 64 -0.046 2.74e-01 4.177599e-01 IL1RN 0.759727060
## 65 0.114 6.13e-03 1.869247e-02 EPHB6 1.134310915
## 66 0.261 1.84e-10 5.881655e-09 BGN 1.244343924
## 67 0.069 9.83e-02 1.852116e-01 PSPN 0.020371760
## 68 0.065 1.18e-01 2.124000e-01 CCL15 2.581224743
## 69 -0.051 2.19e-01 3.500224e-01 CCL23 1.891560467
## 70 0.198 1.63e-06 1.439057e-05 IL1B 0.713619676
## 71 0.143 5.67e-04 2.539174e-03 TNFSF13 2.243028652
## 72 0.223 5.67e-08 7.844910e-07 PTGDS 3.654851054
## 73 0.075 7.00e-02 1.404545e-01 LIFR 3.220450630
## 74 0.027 5.25e-01 6.585589e-01 MMP8 0.313208952
## 75 -0.040 3.38e-01 4.820400e-01 KDR -0.515377554
## 76 0.113 6.66e-03 1.998000e-02 PAPPA -0.286776722
## 77 0.039 3.50e-01 4.961009e-01 CTSL 2.939376922
## 78 0.103 1.30e-02 3.608084e-02 CGREF1 0.839488487
## 79 0.093 2.49e-02 6.204919e-02 IL1R1 1.102045585
## 80 0.044 2.88e-01 4.285329e-01 NID1 0.854871675
## 81 0.095 2.23e-02 5.648115e-02 STC2 1.263922271
## 82 0.042 3.19e-01 4.642276e-01 FGF21 0.228408933
## 83 0.041 3.20e-01 4.649530e-01 IL1RL1 3.564373491
## 84 0.009 8.31e-01 8.967835e-01 SPINK1 5.198047679
## 85 0.211 3.11e-07 3.352291e-06 EFEMP1 1.895987688
## 86 0.071 8.87e-02 1.709457e-01 MFGE8 0.447012152
## 87 0.288 1.72e-12 1.226492e-10 MMP9 0.129170682
## 88 0.091 2.82e-02 6.807656e-02 CTSB 0.132179091
## 89 -0.032 4.41e-01 5.797014e-01 PRSS8 1.596422225
## 90 0.097 1.97e-02 5.115378e-02 PLAT -0.438666743
## 91 0.026 5.34e-01 6.644537e-01 TINAGL1 1.548163976
## 92 0.079 5.89e-02 1.218757e-01 GDF2 0.281401394
## 93 -0.081 5.14e-02 1.100411e-01 BTC 1.087802206
## 94 0.099 1.73e-02 4.582029e-02 TNFSF13B 0.402914553
## 95 0.117 5.02e-03 1.572142e-02 TCN2 2.232771850
## 96 0.025 5.50e-01 6.807076e-01 ANGPTL1 0.298135598
## 97 0.192 3.43e-06 2.741043e-05 CST7 -0.195865648
## 98 0.042 3.11e-01 4.547271e-01 LTBP3 0.991374030
## 99 0.281 6.32e-12 3.661650e-10 CXCL9 2.391418258
## 100 0.022 5.99e-01 7.220715e-01 NUCB2 1.310563675
## 101 0.000 9.94e-01 9.950734e-01 PLA2G15 1.455734817
## 102 0.247 1.82e-09 4.114976e-08 ANGPTL2 0.108169245
## 103 -0.053 2.01e-01 3.291996e-01 C2 0.036125671
## 104 0.031 4.62e-01 5.981480e-01 PLA2G2A 2.035388575
## 105 0.028 5.00e-01 6.375516e-01 GGH 0.156234069
## 106 0.330 3.63e-16 5.608350e-14 CAPG 2.210496004
## 107 0.170 4.09e-05 2.494362e-04 C1QTNF1 -0.434074300
## 108 0.286 2.57e-12 1.701707e-10 TNFRSF9 6.944366237
## 109 0.136 1.01e-03 4.001154e-03 ICAM4 0.033455087
## 110 -0.063 1.33e-01 2.326245e-01 FGF5 1.590576502
## 111 -0.048 2.50e-01 3.868948e-01 LEPR 0.278490590
## 112 0.172 3.22e-05 2.023115e-04 CSF1 2.980096159
## 113 0.095 2.22e-02 5.638192e-02 TNC 0.808273313
## 114 0.184 8.39e-06 5.937046e-05 CCL2 -0.161301318
## 115 -0.071 9.00e-02 1.727329e-01 ANGPT2 3.467967401
## 116 0.129 1.96e-03 7.097344e-03 QPCT 0.812978171
## 117 -0.026 5.37e-01 6.663976e-01 CD14 2.970932348
## 118 0.041 3.22e-01 4.663969e-01 MIA -0.090910333
## 119 0.101 1.52e-02 4.096047e-02 PTN 0.645350860
## 120 0.007 8.72e-01 9.270000e-01 CRELD2 0.852205280
## 121 -0.094 2.34e-02 5.878537e-02 FST 2.312840314
## 122 0.186 6.64e-06 4.814651e-05 ANGPT1 -0.528199846
## 123 -0.057 1.74e-01 2.906270e-01 CNPY2 0.261249510
## 124 0.165 6.41e-05 3.645442e-04 JCHAIN -1.095498083
## 125 0.139 7.73e-04 3.242403e-03 NPTN -0.153510349
## 126 -0.026 5.28e-01 6.614270e-01 EREG 0.132193774
## 127 0.074 7.47e-02 1.473338e-01 ACE2 1.990585052
## 128 -0.034 4.08e-01 5.481391e-01 SDC1 6.096011055
## 129 0.131 1.66e-03 6.130757e-03 MMP7 3.942127057
## 130 0.145 4.57e-04 2.107657e-03 GAS6 0.289080378
## 131 -0.076 6.81e-02 1.372363e-01 AMBP 4.480436313
## 132 0.126 2.46e-03 8.605358e-03 CHI3L1 3.582870401
## 133 0.136 1.05e-03 4.124364e-03 PGF 3.081205349
## 134 0.062 1.35e-01 2.347936e-01 KAZALD1 0.327502560
## 135 0.276 1.35e-11 6.257250e-10 CCL22 -0.001434232
## 136 0.226 4.11e-08 5.861492e-07 CCL19 1.348753708
## 137 0.092 2.74e-02 6.701794e-02 LY96 0.919688441
## 138 0.009 8.24e-01 8.944356e-01 SIGLEC1 0.361311396
## 139 0.160 1.12e-04 6.036279e-04 PLTP 0.243231380
## 140 0.018 6.74e-01 7.839373e-01 FAM3C 1.830490697
## 141 0.059 1.54e-01 2.624228e-01 VWA1 0.981310756
## 142 -0.023 5.79e-01 7.043740e-01 IGFBP4 6.838664022
## 143 0.138 8.77e-04 3.565697e-03 IGFBP3 -0.124402961
## 144 -0.001 9.78e-01 9.875882e-01 AOC1 0.300375179
## 145 0.149 3.27e-04 1.587063e-03 CCL8 -0.072036155
## 146 0.255 4.70e-10 1.177541e-08 COL4A1 2.425769273
## 147 0.173 2.94e-05 1.892625e-04 CXCL11 -0.040512122
## 148 0.035 4.00e-01 5.410873e-01 SERPINE1 -0.298454748
## 149 0.150 2.87e-04 1.407667e-03 CANT1 1.651563307
## 150 0.123 3.08e-03 1.045846e-02 IL18BP 2.765466283
## 151 0.167 5.43e-05 3.185829e-04 PLAUR 5.734742495
## 152 -0.034 4.20e-01 5.610086e-01 WFIKKN1 -0.481357346
## 153 0.142 5.97e-04 2.610467e-03 LCN2 3.597982764
## 154 0.172 3.38e-05 2.088840e-04 CST3 5.662182552
## 155 0.059 1.54e-01 2.624228e-01 IL10 1.642532961
## 156 0.142 6.09e-04 2.638051e-03 LAMA4 0.880074528
## 157 0.177 1.93e-05 1.287129e-04 PIGR 3.330215013
## 158 0.157 1.52e-04 7.871732e-04 CCL4 0.020247887
## 159 0.120 3.77e-03 1.246996e-02 DAG1 1.634671557
## 160 0.264 1.18e-10 4.051333e-09 SPP1 6.402093986
## 161 0.203 8.42e-07 7.884182e-06 COMP 0.214866931
## 162 0.251 9.83e-10 2.360285e-08 LTBP2 6.196663695
## 163 0.226 3.79e-08 5.489578e-07 CTSD 1.890064520
## 164 0.005 9.09e-01 9.488976e-01 TEK 0.987352515
## 165 0.005 9.00e-01 9.426941e-01 CPA2 -0.007129901
## 166 0.017 6.79e-01 7.858090e-01 IL17RB 0.646780247
## 167 0.259 2.64e-10 7.894452e-09 ROBO1 0.369770963
## 168 0.026 5.31e-01 6.624993e-01 TFPI2 0.322939121
## 169 0.077 6.50e-02 1.318490e-01 ADAM23 -0.171811422
## 170 0.188 5.51e-06 4.086216e-05 IL16 0.484293093
## 171 -0.065 1.18e-01 2.124000e-01 ANG 1.029649492
## 172 0.155 1.89e-04 9.573934e-04 CCL18 1.649703934
## 173 0.190 4.02e-06 3.079785e-05 CCL3 2.856934752
## 174 -0.047 2.61e-01 4.005745e-01 ITIH3 1.834756761
## 175 -0.172 3.23e-05 2.023115e-04 IL1RAP -0.022654616
## 176 0.176 2.07e-05 1.370636e-04 IL18 0.579476506
## 177 -0.035 4.01e-01 5.410873e-01 CTRB1 0.221712855
## 178 -0.158 1.40e-04 7.373864e-04 TFPI 3.294801052
## 179 0.052 2.13e-01 3.451941e-01 NID2 -1.513811848
## 180 -0.032 4.44e-01 5.797014e-01 SFTPA2 0.606673085
## 181 0.065 1.21e-01 2.165386e-01 SFTPA1 0.019729479
## 182 0.296 4.01e-13 3.097725e-11 OLR1 0.302024314
## 183 0.021 6.08e-01 7.281860e-01 CHRDL1 1.709659797
## 184 -0.018 6.63e-01 7.730830e-01 TFF1 2.333880050
## 185 -0.037 3.78e-01 5.243776e-01 NRTN 0.604803003
## 186 0.067 1.10e-01 2.023214e-01 DKKL1 -1.203822817
## 187 0.079 5.66e-02 1.178496e-01 MANF 0.843589594
## 188 0.080 5.36e-02 1.138644e-01 IL15RA 0.293676875
## 189 0.206 5.96e-07 5.940774e-06 PDGFA -1.012417700
## 190 0.120 3.95e-03 1.280297e-02 ENPP2 0.437214287
## 191 -0.051 2.18e-01 3.490259e-01 CCL24 0.043180904
## 192 0.178 1.69e-05 1.143526e-04 TNFSF12 -1.415961189
## 193 0.022 6.03e-01 7.240687e-01 OGN 0.653651296
## 194 -0.103 1.35e-02 3.713501e-02 MYOC 0.468664843
## 195 0.243 3.44e-09 7.592571e-08 PLAU 0.631320484
## 196 -0.011 7.99e-01 8.775746e-01 TFF2 4.204185825
## 197 0.045 2.79e-01 4.219135e-01 RSPO1 0.297126772
## 198 0.058 1.62e-01 2.745411e-01 CRLF1 0.316867032
## 199 0.242 3.68e-09 7.933395e-08 TNF 3.649923642
## 200 -0.022 5.93e-01 7.167027e-01 TIMP4 1.791082975
## 201 0.270 4.13e-11 1.664570e-09 GZMA -0.067370264
## 202 0.008 8.39e-01 9.012202e-01 PM20D1 -0.737649055
## 203 0.082 4.77e-02 1.033129e-01 CREG1 0.007699279
## 204 0.085 4.10e-02 9.225000e-02 MIF 0.379734050
## 205 0.165 6.75e-05 3.815396e-04 IL34 0.693301992
## 206 0.127 2.18e-03 7.742759e-03 AGRN 3.107539630
## 207 -0.072 8.43e-02 1.636795e-01 SERPINB5 0.207061811
## 208 0.045 2.85e-01 4.275000e-01 IL15 3.126055452
## 209 0.109 8.44e-03 2.468101e-02 P4HB 1.190970570
## 210 0.084 4.48e-02 9.911599e-02 MFAP5 0.340612487
## 211 0.232 1.56e-08 2.537053e-07 COL6A3 2.759698792
## 212 0.130 1.71e-03 6.265494e-03 DPP4 -0.778372028
## 213 0.131 1.60e-03 5.932800e-03 MDK 1.014305343
## 214 0.137 1.00e-03 3.978541e-03 OMD 0.575696274
## 215 0.045 2.77e-01 4.209492e-01 NBL1 1.930051367
## 216 0.020 6.28e-01 7.406565e-01 SCG2 1.213700544
## 217 0.090 3.05e-02 7.268252e-02 FAM3B 0.123215798
## 218 0.032 4.43e-01 5.797014e-01 FGF23 2.824416035
## 219 0.114 6.20e-03 1.884393e-02 GDF15 10.562135580
## 220 0.076 6.78e-02 1.369294e-01 CCL28 -0.186417091
## 221 0.167 5.40e-05 3.185829e-04 VEGFC -0.917539631
## 222 0.191 3.81e-06 2.943225e-05 HSPG2 3.494642260
## 223 0.236 9.64e-09 1.752212e-07 CXCL12 0.122451095
## 224 0.099 1.76e-02 4.648205e-02 TGFA 4.367571972
## 225 0.081 5.06e-02 1.088311e-01 PTX3 1.685545515
## 226 0.040 3.32e-01 4.756785e-01 CPA1 0.227352034
## 227 -0.026 5.32e-01 6.628548e-01 MSLN 2.222807261
## 228 0.037 3.79e-01 5.243776e-01 CEACAM1 1.622449975
## 229 0.077 6.32e-02 1.293298e-01 EDIL3 0.432345999
## 230 0.033 4.32e-01 5.729099e-01 IL6 3.320126413
## 231 0.066 1.15e-01 2.094401e-01 TNFRSF19 1.323855450
## 232 0.057 1.72e-01 2.878051e-01 BMP4 0.046999661
## 233 0.116 5.06e-03 1.579333e-02 TNFRSF11B 4.437871182
## 234 0.070 9.34e-02 1.777860e-01 SEMA3F 0.958069392
## 235 -0.048 2.48e-01 3.857315e-01 BMP6 0.185748854
## 236 -0.012 7.71e-01 8.580036e-01 KLK11 1.219823425
## 237 -0.015 7.16e-01 8.153956e-01 B4GALT1 2.778107839
## 238 -0.024 5.69e-01 6.931183e-01 SDC4 -2.361458605
## 239 0.024 5.65e-01 6.909697e-01 SPARCL1 0.287844038
## 240 0.215 1.90e-07 2.174444e-06 DPT -0.140561918
## 241 0.064 1.23e-01 2.188503e-01 GALNT2 -0.601020952
## 242 -0.035 4.04e-01 5.435530e-01 THPO -0.256807355
## 243 -0.090 2.98e-02 7.156632e-02 MASP1 -0.430483391
## 244 0.251 9.93e-10 2.360285e-08 TIMP1 2.475802064
## 245 0.169 4.64e-05 2.793039e-04 CXCL6 0.103042124
## 246 0.090 2.99e-02 7.162093e-02 TNFRSF10C -0.275440711
## 247 0.029 4.83e-01 6.192822e-01 TNFRSF10B 4.468926844
## 248 0.158 1.35e-04 7.151143e-04 SPON1 3.518154201
## 249 -0.069 9.83e-02 1.852116e-01 APOM -0.642609125
## 250 -0.005 9.00e-01 9.426941e-01 RARRES2 1.847984694
## 251 0.112 6.95e-03 2.078274e-02 VWF 0.865367744
## 252 0.003 9.52e-01 9.783858e-01 TNFSF14 0.126769665
## 253 0.091 2.82e-02 6.807656e-02 HBEGF -0.654344130
## 254 -0.001 9.90e-01 9.950734e-01 ACAN 0.031136559
## 255 0.235 1.04e-08 1.854000e-07 CLEC11A -0.241389262
## 256 -0.020 6.25e-01 7.380573e-01 ARTN -0.979730274
## 257 0.121 3.69e-03 1.226032e-02 AFP -0.272244042
## 258 -0.036 3.85e-01 5.283490e-01 HYAL1 2.317788312
## 259 0.032 4.47e-01 5.819789e-01 EGFL7 0.124810705
## 260 0.086 3.91e-02 8.862029e-02 CCL11 -0.136536039
## 261 0.081 5.04e-02 1.086530e-01 SPOCK1 0.012081320
## 262 -0.111 7.65e-03 2.244161e-02 ST6GAL1 0.725521160
## 263 0.326 8.50e-16 1.125643e-13 TREM2 3.071025283
## 264 -0.083 4.73e-02 1.029275e-01 REG4 1.109299844
## 265 0.030 4.65e-01 6.003552e-01 INHBC -1.405269168
## 266 -0.017 6.83e-01 7.876621e-01 AGR2 1.390463496
## 267 0.039 3.50e-01 4.961009e-01 ANGPTL3 2.259141066
## 268 0.112 7.11e-03 2.112490e-02 GPC1 0.114507233
## 269 0.032 4.44e-01 5.797014e-01 NCAN -0.766720568
## 270 -0.133 1.32e-03 5.014918e-03 CXADR 2.188020200
## 271 0.219 1.04e-07 1.268526e-06 SPARC -0.212901562
## 272 -0.011 7.92e-01 8.729893e-01 F7 0.429583850
## 273 -0.007 8.59e-01 9.195069e-01 WNT9A 3.263935898
## 274 0.186 6.67e-06 4.814651e-05 SLIT2 0.328484540
## 275 -0.120 3.81e-03 1.252436e-02 CD46 2.419944700
## 276 0.147 3.82e-04 1.802239e-03 CXCL1 1.771708899
## 277 -0.024 5.66e-01 6.912806e-01 WFDC2 9.135762157
## 278 -0.014 7.31e-01 8.266314e-01 RTBDN 1.260737528
## 279 -0.063 1.28e-01 2.251537e-01 ADAMTS8 -2.648008714
## 280 -0.070 9.49e-02 1.802711e-01 ENTPD5 0.107640758
## 281 0.142 5.96e-04 2.610467e-03 SMOC2 3.560685186
## 282 -0.078 6.09e-02 1.251758e-01 PROC 0.186166453
## 283 0.055 1.87e-01 3.106613e-01 CALCA 1.639575868
## 284 0.032 4.41e-01 5.797014e-01 MMP12 3.800266596
## 285 0.070 9.12e-02 1.746744e-01 ADAMTS15 3.170911303
## 286 -0.063 1.32e-01 2.313119e-01 ANGPTL7 0.938042810
## 287 -0.038 3.67e-01 5.146884e-01 IL1R2 -0.004607776
## 288 -0.097 1.96e-02 5.103708e-02 SMOC1 1.163574387
## 289 0.198 1.55e-06 1.390500e-05 CD40LG 0.083171501
## 290 0.142 6.20e-04 2.648571e-03 SFRP1 0.048574191
## 291 -0.107 9.77e-03 2.795306e-02 NAMPT -0.170198150
## 292 -0.113 6.30e-03 1.902313e-02 IGFBP2 3.769462650
## 293 0.199 1.51e-06 1.372324e-05 NELL2 0.066476215
## 294 0.020 6.32e-01 7.444269e-01 PDGFB -0.901531194
## 295 0.014 7.32e-01 8.266314e-01 SERPINA12 0.129584054
## 296 -0.045 2.81e-01 4.235561e-01 BPIFB1 -0.047400497
## 297 0.090 3.10e-02 7.312214e-02 GDNF 0.380184338
## 298 0.198 1.67e-06 1.460462e-05 DKK3 0.925220451
## 299 0.066 1.14e-01 2.080276e-01 MUC13 0.663593806
## 300 -0.192 3.29e-06 2.652026e-05 CHL1 -0.542609542
## 301 -0.041 3.23e-01 4.671042e-01 GP2 0.579622211
## 302 0.139 8.04e-04 3.342188e-03 FRZB 0.273361962
## 303 -0.181 1.24e-05 8.578209e-05 VEGFA 0.610762792
## 304 0.034 4.19e-01 5.604805e-01 IL33 1.138612234
## 305 0.143 5.89e-04 2.608843e-03 TIMP3 -0.678536261
## 306 -0.063 1.29e-01 2.264830e-01 FGF19 0.209724473
## 307 -0.081 5.27e-02 1.125643e-01 FETUB 0.339852887
## 308 0.073 7.99e-02 1.565905e-01 TFF3 3.510389159
## 309 0.044 2.91e-01 4.316112e-01 ASAH2 0.035231566
## 310 0.012 7.76e-01 8.604689e-01 COL9A1 1.206389080
## 311 -0.058 1.65e-01 2.786066e-01 F9 0.562601396
## 312 0.088 3.42e-02 7.906085e-02 DPP7 1.726095858
## 313 -0.010 8.15e-01 8.877850e-01 BCAN -1.364173452
## 314 0.203 8.17e-07 7.807825e-06 CCL20 1.091242084
## 315 -0.005 9.12e-01 9.499146e-01 NTF3 -0.653302472
## 316 0.015 7.13e-01 8.129779e-01 HSP90B1 1.301414856
## 317 0.062 1.38e-01 2.391140e-01 TPSAB1 0.679790527
## 318 -0.018 6.69e-01 7.790992e-01 APOH 0.745076937
## 319 0.100 1.65e-02 4.395259e-02 LTA -0.678864952
## 320 0.207 5.17e-07 5.209337e-06 FSTL3 3.243958232
## 321 0.029 4.81e-01 6.175720e-01 MEPE -0.987673225
## 322 0.043 3.05e-01 4.502571e-01 STC1 2.557300169
## 323 0.024 5.69e-01 6.931183e-01 LEP -0.135364847
## 324 -0.032 4.49e-01 5.837630e-01 COL18A1 2.650161918
## 325 -0.124 2.81e-03 9.683532e-03 SORD -1.575816727
## 326 0.036 3.86e-01 5.283490e-01 IL2 -0.184130092
## 327 0.142 6.19e-04 2.648571e-03 IGFBPL1 4.322282453
## 328 0.007 8.76e-01 9.280594e-01 MATN3 1.042501087
## 329 -0.131 1.54e-03 5.756371e-03 TGFBR3 1.651462821
## 330 -0.026 5.31e-01 6.624993e-01 CRTAC1 -0.387985601
## 331 0.016 7.01e-01 8.032472e-01 CDSN 0.859974431
## 332 0.161 1.03e-04 5.649763e-04 XCL1 3.176063286
## 333 0.232 1.69e-08 2.701086e-07 FASLG -2.564009292
## 334 0.000 9.91e-01 9.950734e-01 CPE 0.181534279
## 335 -0.070 9.34e-02 1.777860e-01 FGF2 3.179878781
## 336 0.071 8.95e-02 1.721297e-01 ESM1 3.853705184
## 337 -0.016 6.94e-01 7.971970e-01 TNFSF11 -0.346821393
## Sgn_Afib Sgn_CAD Sgn_HF
## 1 1.084811725 1.47383933 3.393708461
## 2 0.910525696 0.06194783 1.830617207
## 3 0.476079080 -0.07274252 1.368761615
## 4 1.531271056 0.13126948 0.814181869
## 5 -0.100226856 2.81766245 2.269671016
## 6 3.500904645 3.91272908 8.403694894
## 7 2.383285662 6.68499042 6.418626990
## 8 20.931075030 18.02518430 24.271201290
## 9 -0.930648063 1.71367994 1.065270072
## 10 1.018286145 4.36584841 0.962452065
## 11 -0.566366046 1.72190673 0.212790202
## 12 1.410971656 5.29315062 11.532018080
## 13 6.883702230 8.00577788 5.099728859
## 14 1.114453642 -0.02530737 0.367911245
## 15 0.032300938 4.40194679 2.386592229
## 16 -3.013963089 -2.97007534 -7.056131419
## 17 10.695865330 2.00331051 9.193663637
## 18 7.427734087 6.94765115 17.208645710
## 19 2.983806770 0.48420624 -0.376809727
## 20 4.682946104 15.71761751 21.881682360
## 21 -0.008991658 1.53848009 2.127870855
## 22 6.234920876 2.15591790 12.666450770
## 23 1.318254735 0.23124024 0.022321259
## 24 0.354388184 2.62605962 6.440496844
## 25 0.127449532 4.69936064 5.079261424
## 26 0.458905703 4.84850654 5.381198433
## 27 0.215500066 2.63188010 2.165654238
## 28 6.252167839 1.63110228 5.125589318
## 29 13.471788490 9.04125492 31.344929000
## 30 2.199628372 -0.07880885 0.887603911
## 31 -2.841306086 -2.57918079 -2.878914028
## 32 6.540862677 0.42220927 5.838055628
## 33 4.356874874 9.42444194 16.371133410
## 34 1.964286871 11.58926178 9.147846035
## 35 0.264902658 0.55379543 -0.015343792
## 36 0.414622351 4.31506897 8.456642314
## 37 -0.256814314 -0.95544809 0.482533317
## 38 1.379728046 1.08908293 -0.021531832
## 39 7.278658013 11.96450781 23.803490240
## 40 2.372032875 7.40817496 11.986990750
## 41 4.872853635 6.98284882 10.490617560
## 42 1.481162897 -0.17351692 1.484300071
## 43 1.973000217 0.50618264 3.844530851
## 44 2.051067559 2.35134753 5.231359869
## 45 0.219397824 4.94483107 0.138533686
## 46 2.241201272 0.59237860 2.277291879
## 47 0.547343723 0.15931750 0.301938372
## 48 3.319262616 4.41903335 0.974769741
## 49 1.768187721 2.43247809 4.460068550
## 50 0.430922231 0.26754843 0.939661311
## 51 0.367896368 4.98631718 5.788257387
## 52 -0.207996031 -1.22406608 0.050804975
## 53 -0.422022424 -6.11742734 -0.223139925
## 54 0.964803803 0.08173801 0.522815165
## 55 3.576219566 1.65088178 10.077838670
## 56 0.177538944 3.15744167 2.851915653
## 57 3.689947225 10.85735338 12.490387330
## 58 2.402298266 -0.92125243 -0.014563896
## 59 3.337439113 0.57971752 6.382308863
## 60 -1.858384846 0.61665082 0.061536921
## 61 2.725960124 4.38217680 4.788940985
## 62 2.647340574 6.88726210 6.811214022
## 63 0.941103583 1.75181231 1.187844968
## 64 0.663792634 11.84511063 7.408409703
## 65 -0.160516017 1.32344349 4.218554913
## 66 0.138380491 -1.51494161 -0.588145190
## 67 0.319542719 0.23192005 5.496386254
## 68 5.888091609 11.08399838 12.005215540
## 69 5.670640610 3.74829822 6.872127051
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## 333 1.451833026 -5.58364106 -1.077303890
## 334 0.189669528 -0.73629039 -1.968407731
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## 336 8.970482201 -0.21303193 2.322858160
## 337 0.078590295 -2.73933069 -1.282900323Plot a venn diagram to illustrate the overlapping and non-overlapping genes/proteins for the HMDP liver-heart and the UK Biobank plasma proteomics data
library(VennDiagram)
library(VennDiagram)
library(grid)
setA <- olink_human # Olink CV plasma proteins
setB <- ssec_steatosite_human # HMDP Ssec Steatosite
fills <- c("#E41A1C", "#0072B2")
cat_cols <- c("#9E0D0D", "#0B4F7A")
venn_grob <- VennDiagram::venn.diagram(
x = list(
"HMDP liver-heart \nsecretory genes" = setB,
"Olink CV\nplasma proteome" = setA
),
filename = NULL,
fill = fills,
alpha = 0.6,
lty = "blank",
cex = 3,
label.col = "white",
fontface = "bold",
cat.cex = 0, # ── hide built-in category labels
cat.col = cat_cols,
cat.pos = c(0, 0),
cat.dist = c(0.05, 0.05),
ext.text = FALSE,
margin = 0.05
)
# ── Draw + manual labels ──────────────────────────────────────────────────
draw_venn <- function() {
grid.newpage()
pushViewport(viewport(width = unit(1, "snpc"), height = unit(1, "snpc")))
grid.draw(venn_grob)
# HMDP label — top left
grid.text(
label = "Olink plasma proteins",
x = unit(0.15, "npc"), # adjust left/right
y = unit(0.90, "npc"), # adjust up/down
just = c("center", "top"),
gp = gpar(col = "#0B4F7A", fontsize = 22, fontface = "bold")
)
# Olink label — top right
grid.text(
label = "HMDP liver-heart genes",
x = unit(0.95, "npc"), # adjust left/right
y = unit(0.90, "npc"), # adjust up/down
just = c("center", "top"),
gp = gpar(col = "#9E0D0D", fontsize = 22, fontface = "bold")
)
popViewport()
}
# Preview
draw_venn()
# ── Save as PNG ───────────────────────────────────────────────────────────
png("venn_hmdp_olink_cv.png", width = 3300, height = 2400, res = 300, bg = "white")
draw_venn()
dev.off()## png
## 2