Predictive modeling for cancer prognosis
Andrew Gentles
Matt Lin
August 8, 2024
About this activity
This module will introduce you to loading and manipulating the data from the breast cancer METABRIC dataset, visualizing and working with gene expression measurements, and building predictive models based on the expression of many different genes (and clinical data too).
The METABRIC dataset is from another large breast cancer patient study and was actually used for the original DREAM Breast Cancer Prognosis Challenge. After taking an initial look at modeling survival in the TCGA BRCA cohort, we realized there wasn’t much interesting to see. This is a useful lesson in making sure you have the right data for the analysis! In a study published earlier this year, a group of researchers carefully assessed which clinical outcomes can be reliably used for modeling across TCGA cancer types — this study also produced the TCGA Pan-Cancer Clinical Data Resource (CDR) dataset that we’ve seen in a couple modules.
For now, we’ve switched to the METABRIC study, where we know from previous experience there are at least some strong relationships between gene expression and survival.
Preliminaries
Loading & inspecting data
Let’s load the data — both the expression matrix and a table of clinical information. They are saved conveniently in files of type .RData as with previous modules. These are binary files (i.e., not human readable) that store multiple R objects (results) that you create in the process of an R analysis. We’ll load the datasets, and list what we loaded with the ls() command.
load(file.path(data_dir, "metabric_disc_expr_df.RData"))
load(file.path(data_dir, "metabric_disc_clin_df.RData"))
load(file.path(data_dir, "metabric_expr_gene_info.RData"))
load(file.path(data_dir, "metabric_disc_expr_mat.RData"))
ls()## [1] "data_dir" "gene_df" "metabric_disc_clin_df"
## [4] "metabric_disc_expr_df" "metabric_disc_expr_mat"The clinical data frame is a bit unwieldy — we can use View() to take a look. In RStudio, you can also click on the variable under the Environment tab in the upper right panel. Reminder: running the chunk below will open the viewer in a new tab; you can switch back to this tab to resume the activity.
View(metabric_disc_clin_df)Reminder: We can find the dimensions of a matrix or data frame with the dim() command, to see just how large the expression data matrix is…
dim(metabric_disc_clin_df)## [1] 997 32dim(metabric_disc_expr_df)## [1] 15834 999Each row of the clinical data frame is one patient, and each column of the expression data frame is for one patient (except for the first two, which store the gene information for each row). Let’s check whether they’re both in the same order:
metabric_disc_clin_df$metabric_id[1:10]## [1] "MB_0362" "MB_0346" "MB_0386" "MB_0574" "MB_0185" "MB_0503" "MB_0641"
## [8] "MB_0201" "MB_0218" "MB_0316"Let’s convert the expression data frame into a matrix for more convenient use below:
metabric_disc_expr_mat[1:5, 1:5]## MB_0362 MB_0346 MB_0386 MB_0574 MB_0185
## TSPAN6 7.579 7.819 7.366 8.110 5.993
## TNMD 6.211 5.557 8.108 5.789 5.484
## DPM1 9.150 9.794 9.229 9.672 10.159
## SCYL3 7.193 7.845 6.777 6.863 6.692
## C1orf112 7.835 8.084 6.895 6.987 7.173And it never hurts to do yet another check to make sure nothing went astray… The match() function tells us the position in the 2nd vector where each element in the 1st vector can be found — ideally, we want these numbers to be increasing from 1 to the length of the vector.
dim(metabric_disc_clin_df)## [1] 997 32dim(metabric_disc_expr_mat)## [1] 15834 997match(metabric_disc_clin_df$metabric_id, colnames(metabric_disc_expr_mat))[1:50]## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50Now we are ready to do some actual analysis!
Exploring AURKA expression & survival
We happen to know that high AURKA expression in a tumor is bad for the patient’s outcome (https://doi.org/10.1093/bioinformatics/btn374). AURKA (Aurora kinase A) encodes for a protein that is involved in regulation of progression through the cell cycle. Various studies have associated it with tumour progression and it is thought to promote metastasis.
aurka_row <- which(rownames(metabric_disc_expr_mat) == "AURKA")
aurka_row## [1] 1595aurka <- as.vector(metabric_disc_expr_mat[aurka_row, ])
aurka[1:50]## [1] 7.918 9.626 7.689 7.738 8.612 7.083 6.769 8.211 9.697 8.645
## [11] 7.236 6.220 8.678 7.500 6.362 7.416 11.767 8.489 7.208 7.195
## [21] 6.991 6.999 6.183 8.220 7.532 7.805 8.173 8.831 9.731 9.217
## [31] 7.931 7.292 8.078 8.921 8.413 6.577 7.508 8.768 7.927 7.248
## [41] 8.261 7.996 6.849 6.447 9.380 7.629 7.582 7.513 8.531 8.504How is the expression of AURKA related to being alive at 5 years? Here are a few different ways to look at the relationship.
boxplot(aurka ~ metabric_disc_clin_df$survival_5y,
xlab = "Alive at 5 yrs", ylab = "AURKA expression level")
stripchart(aurka ~ metabric_disc_clin_df$survival_5y,
vertical = TRUE, method = "jitter", pch = '.',
cex = 3, add = TRUE)
summary(lm(aurka ~ metabric_disc_clin_df$survival_5y))##
## Call:
## lm(formula = aurka ~ metabric_disc_clin_df$survival_5y)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7165 -0.6235 -0.1070 0.5700 3.9225
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.84454 0.04539 172.813 < 2e-16 ***
## metabric_disc_clin_df$survival_5yTRUE -0.22350 0.05595 -3.995 6.95e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.837 on 993 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.01582, Adjusted R-squared: 0.01483
## F-statistic: 15.96 on 1 and 993 DF, p-value: 6.952e-05Removing censored patients
Another way of looking at things is to just take the patients who died of disease, and to look at how long it was before that occurred. To do that, we’ll want to exclude the rows and columns for patients who alive at the last time they were followed OR who died of other causes. These patients are known as “censored” events.
table(metabric_disc_clin_df$last_follow_up_status)##
## a d d-d.s. d-o.c.
## 548 46 259 126Rather than filtering out patients with last_follow_up_status equal to a or d-o.c., we can actually use the censored column in the data frame. You’ll see that the number of censored patients (674) is equal to the total of alive (548) and died of other causes (126) patients.
table(metabric_disc_clin_df$censored)##
## FALSE TRUE
## 323 674So, now we’ll drop the censored patients from the data.
drop_pats <- which(metabric_disc_clin_df$censored)
dead_clin <- metabric_disc_clin_df[-drop_pats, ]
dead_expr <- metabric_disc_expr_mat[, -drop_pats]
dim(dead_clin)## [1] 323 32dim(dead_expr)## [1] 15834 323That’s less than half of patients in total — though note that only 259 were specifically indicated to have died from breast cancer; the 46 patients labelled as d we think died of cancer, but the cause for these patients could be unknown. This is often a problem — the unknown or “other cause”" might have been something completely unrelated, or something that was indirectly caused by having cancer, so we usually want to be careful about how we treat these cases.
Modeling survival and AURKA expression
Let’s see how the expression level of AURKA is related to time-to-death with a plot that includes a trend line representing the linear model from lm().
# make sure to remove censored patients from the `aurka` vector
aurka_dead = aurka[-drop_pats]
plot(dead_clin$T ~ aurka_dead)
aurka_model <- lm(dead_clin$T ~ aurka_dead)
abline(aurka_model, col = "red")
There are several things in the output of lm() that might be interesting, and the summary() of it has even more detail, such as p-values. Here we store it as an object and then see what it includes.
aurka_model_summary <- summary(aurka_model)
aurka_model_summary##
## Call:
## lm(formula = dead_clin$T ~ aurka_dead)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3003.3 -844.4 -256.2 773.7 4508.6
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7678.72 695.86 11.035 < 2e-16 ***
## aurka_dead -711.79 87.35 -8.149 8.43e-15 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1250 on 319 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1723, Adjusted R-squared: 0.1697
## F-statistic: 66.41 on 1 and 319 DF, p-value: 8.426e-15Specifically, we can pull out the estimate (slope) for how AURKA is associated with time to death, and the p-value.
coef_aurka_model = coefficients(aurka_model_summary)
slope = coef_aurka_model[2, 1]
pval = coef_aurka_model[2, 4]
slope## [1] -711.7943pval## [1] 8.426028e-15Including clinical variables with expression
Continuous variables
The number of lymph nodes found to be positive for cancer cells at the time of diagnosis can also be a strong predictor of time until the person dies. We would probably want to allow for these variables like these in a survival model.
There are many ways to include multiple variables in a model — one would be to fit the time to death as a function of both positive lymph node coudnt and other variables (e.g., AURKA expression). We can do this easily for the combination of positive lymph nodes and AURKA with lm().
# uncomment the line below and replace "function" with
# the function we use to fit a linear model
summary(lm(dead_clin$T ~ dead_clin$lymph_nodes_positive + aurka_dead))##
## Call:
## lm(formula = dead_clin$T ~ dead_clin$lymph_nodes_positive + aurka_dead)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2400.1 -857.5 -179.4 679.9 4308.6
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7599.93 676.37 11.236 < 2e-16 ***
## dead_clin$lymph_nodes_positive -62.72 14.07 -4.459 1.14e-05 ***
## aurka_dead -678.83 85.19 -7.968 2.90e-14 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1214 on 318 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.221, Adjusted R-squared: 0.2161
## F-statistic: 45.11 on 2 and 318 DF, p-value: < 2.2e-16By “controlling” for survival differences related to positive lymph nodes, we’re able to focus our model on differences that might be more specifically related to AURKA expression. If, alternatively, we included lymph_nodes_positive and the effect of aurka_dead disappeared, we might deduce that these variables were confounded in some way.
Categorical variables
We’ve also learned about how ER expression status can be an indicator of survival. In this case, we have to “categories” among our patients: “positive” for ER (+) and “negative” for ER (-).
table(dead_clin$ER.Expr)##
## - +
## 91 230summary(lm(dead_clin$T ~ dead_clin$ER.Expr + aurka_dead))##
## Call:
## lm(formula = dead_clin$T ~ dead_clin$ER.Expr + aurka_dead)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2498.6 -808.0 -203.8 674.1 4241.8
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6111.53 770.71 7.930 3.76e-14 ***
## dead_clin$ER.Expr+ 687.18 160.87 4.272 2.57e-05 ***
## aurka_dead -576.20 90.81 -6.345 7.63e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1217 on 318 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.2172, Adjusted R-squared: 0.2123
## F-statistic: 44.12 on 2 and 318 DF, p-value: < 2.2e-16Your first observation here might be: “what happened to ER -?” When given categorical variables, R will treat one of the values as the intercept for the line it fits. We can therefore interpret the remaining coefficient ER.Expr+ as “the change in survival time when ER status changes from - to +”. As we might expect, patients who are ER+ are predicted to survive longer.
Categorical variables …?
How about another common clinical variable, such as tumor “grade”?
table(dead_clin$grade)##
## 1 2 3
## 15 107 199Including grade with AURKA expression would look like this:
summary(lm(dead_clin$T ~ dead_clin$grade + aurka_dead))##
## Call:
## lm(formula = dead_clin$T ~ dead_clin$grade + aurka_dead)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2711.3 -829.8 -269.3 703.7 4610.4
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7725.19 687.70 11.233 < 2e-16 ***
## dead_clin$grade -388.02 130.92 -2.964 0.00327 **
## aurka_dead -591.69 95.34 -6.206 1.69e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1235 on 318 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1946, Adjusted R-squared: 0.1895
## F-statistic: 38.41 on 2 and 318 DF, p-value: 1.147e-15We see that increasing grade has a negative relationship with survival time (as we might expect), and that relationship is significant — great! But wait… something is funny about how lm() treated the grade variable. Can you tell what’s wrong? Think about how the model looked when we considered the number of positive lymph nodes compared to ER status.
Cue Jeopardy music…
The problem here is that R doesn’t know grade numbers (1, 2, 3) represent different categories, so it just treats them as continuous values. Let’s see what that looks like with a plot of time versus grade.
plot(dead_clin$T ~ dead_clin$grade)
What we need to do is convert the grade variable into a factor — this tells R to treat each “level” of the factor as a distinct category. Try the plot now.
plot(dead_clin$T ~ as.factor(dead_clin$grade))
Better! How does our model look?
summary(lm(dead_clin$T ~ as.factor(dead_clin$grade) + aurka_dead))##
## Call:
## lm(formula = dead_clin$T ~ as.factor(dead_clin$grade) + aurka_dead)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2642.2 -818.3 -238.0 655.5 4638.3
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6951.95 741.12 9.380 < 2e-16 ***
## as.factor(dead_clin$grade)2 91.47 343.70 0.266 0.790
## as.factor(dead_clin$grade)3 -430.85 347.36 -1.240 0.216
## aurka_dead -590.26 95.15 -6.203 1.73e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1232 on 317 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.2003, Adjusted R-squared: 0.1927
## F-statistic: 26.47 on 3 and 317 DF, p-value: 2.655e-15Note that for each increasing grade above “1” (denoted as the Intercept term), the relationship with survival time becomes more negative. While grade 3 shows a negative relationship relative to grade 2, the lack of statistical significance (p > 0.05) suggests that the evidence for this relationship isn’t super strong.
We won’t actually include grade in our models below. Long story short, interpreting the relationship between survival time and tumor grade (at least for this set of patients) is a bit confusing.
Modeling survival for all genes
Putting all these bits together, we can write a function that takes the time to death (y below) does a fit to some variable x, such as the expression of AURKA, and extracts the slope (direction of the association) and statistical significance.
# Do a linear fit of y ~ x and return the slope and p-value
gene_lm <- function(y, x) {
gene_model_summary <- NULL
pval <- NA
slope <- NA
try(gene_model_summary <- summary(lm(y ~ x)))
if (!is.null(gene_model_summary)) {
coef_gene_model <- coefficients(gene_model_summary)
pval = coef_gene_model[2, 4]
slope = coef_gene_model[2, 1]
}
return(c(pval, slope))
}Check this got the same as we had before.
gene_lm(dead_clin$T, aurka_dead)## [1] 8.426028e-15 -7.117943e+02Now, we could check every gene in the expression matrix to see if it is significantly correlated with time to death of the METABRIC patients. Fortunately with R, we can easily loop over all the genes. Altogether, there are 24,368 genes measured. For now, let’s just take the first 5000 for speed. We will create an empty matrix of results that we can store the p-value and slope in for each gene.
Note that these models aren’t including any information about stage or grade.
# If we were doing all genes, `ngenes` would be nrow(dead_expr), i.e. the number of rows of genes
ngenes <- 5000
lm_results = matrix(nrow = ngenes, ncol = 2, data = NA)
colnames(lm_results) <- c("pval", "slope")
rownames(lm_results) <- rownames(dead_expr)[1:ngenes]
for (i in 1:ngenes) {
lm_results[i, ] <- gene_lm(dead_clin$T, dead_expr[i,])
}And we check on AURKA again.
lm_results[rownames(lm_results) == "AURKA", ]## pval slope
## 8.426028e-15 -7.117943e+02That’s it. We now have the regression of every gene against time to death. There are some other things we need to do in practice, like correcting the p-values for the number of tests we did. If you check 1000 genes, then for p = 0.01 you would expect roughly 10 genes to be that significant by chance (0.01*1000). From the table generated, we can order by p-value to see which genes are most statistically significantly associated with death (either favourable or unfavourably).
lm_results = lm_results[order(lm_results[, 1]), ]
# output as a data frame so that R Notebook formats the table nicely
as.data.frame(lm_results)## pval slope
## AVP 5.637819e-18 1.678965e+03
## CENPA 1.130745e-16 -8.550454e+02
## ANLN 7.649051e-16 -9.952773e+02
## RABEP1 2.573654e-15 6.276337e+02
## AURKA 8.426028e-15 -7.117943e+02
## FAM83D 4.566357e-14 -7.332090e+02
## MCM10 7.459059e-14 -7.517670e+02
## TRIP13 9.654274e-14 -7.103487e+02
## STMN1 4.681205e-13 -8.072726e+02
## SEC14L2 7.382927e-13 5.016181e+02
## KIAA0141 8.697885e-13 1.449048e+03
## MXD4 9.772895e-13 9.346374e+02
## KARS 1.139240e-12 -1.169759e+03
## ESR1 1.412970e-12 2.360715e+02
## TPX2 1.464180e-12 -7.322328e+02
## MZF1 1.700396e-12 8.222763e+02
## CYBRD1 2.220941e-12 4.991818e+02
## CDC20 2.256791e-12 -4.857147e+02
## HPN 2.285301e-12 4.824860e+02
## CPEB3 2.874603e-12 1.068187e+03
## SLC7A5 3.112813e-12 -3.873170e+02
## GTSE1 4.087623e-12 -1.027507e+03
## NISCH 4.540508e-12 9.970734e+02
## HJURP 4.979128e-12 -7.986865e+02
## ZMYND10 4.988494e-12 8.242380e+02
## KIF20A 5.509988e-12 -6.859507e+02
## C16orf80 5.804753e-12 -1.135256e+03
## GTPBP4 6.949485e-12 -8.772753e+02
## CDCA3 7.246651e-12 -6.892094e+02
## RCOR3 1.067199e-11 8.174856e+02
## ECHDC2 1.227147e-11 7.146691e+02
## CIRBP 1.343090e-11 7.849063e+02
## GARS 2.382069e-11 -1.020778e+03
## CDKN3 2.445590e-11 -7.372433e+02
## RARRES1 2.753500e-11 -2.882337e+02
## C20orf24 2.845916e-11 -9.504219e+02
## KIF4A 3.277505e-11 -9.883357e+02
## FAAH 4.887165e-11 6.905952e+02
## RBM5 5.996679e-11 1.074344e+03
## NUP155 6.608270e-11 -1.085496e+03
## AQP9 7.294056e-11 -6.465279e+02
## TARS 8.450393e-11 -8.524121e+02
## PIR 1.156961e-10 -7.555472e+02
## STIL 1.536469e-10 -7.803410e+02
## UBE2T 1.595653e-10 -6.522678e+02
## DEPDC1 1.798741e-10 -1.133123e+03
## OIP5 1.853013e-10 -7.445859e+02
## GATA3 1.888467e-10 3.179430e+02
## NUTF2 1.903807e-10 -1.175287e+03
## PRR11 2.006213e-10 -9.984449e+02
## PARP3 2.009378e-10 8.176556e+02
## RAD54L 2.048461e-10 -1.242477e+03
## NME5 2.238745e-10 5.782521e+02
## NDC80 2.283040e-10 -1.009163e+03
## ASPM 2.356470e-10 -5.979320e+02
## NCAPG 2.964506e-10 -6.740474e+02
## HEMK1 3.023192e-10 1.126865e+03
## PCSK4 3.407451e-10 1.274432e+03
## CASC1 3.710800e-10 7.111563e+02
## MTHFD2 3.728156e-10 -7.365785e+02
## SENP5 3.803254e-10 -1.346531e+03
## CENPI 4.188567e-10 -2.276573e+03
## YBX1 4.433996e-10 -7.037702e+02
## ALDH6A1 4.973844e-10 7.081505e+02
## CALCOCO1 5.615928e-10 1.514161e+03
## CCNE1 5.660756e-10 -4.873057e+02
## NEDD4L 7.075330e-10 5.573794e+02
## MPP6 7.154119e-10 -8.376980e+02
## GAL 7.499312e-10 -4.996153e+02
## BYSL 9.768109e-10 -1.018142e+03
## ANKRD24 1.120908e-09 1.051979e+03
## SOD2 1.292384e-09 -4.698759e+02
## SLC25A12 1.323567e-09 1.050457e+03
## COMMD2 1.328012e-09 -7.545941e+02
## TTK 1.367321e-09 -6.135961e+02
## VGLL1 1.541393e-09 -3.728429e+02
## SPG11 1.618800e-09 1.034214e+03
## GBP1 1.677801e-09 -4.593571e+02
## FOXM1 1.692543e-09 -6.486897e+02
## PDCD5 1.710469e-09 -7.482983e+02
## DEPDC1B 1.720950e-09 -1.315495e+03
## ZNF259 1.769982e-09 -1.198190e+03
## C5 1.776721e-09 8.337404e+02
## PPM1G 1.835537e-09 -1.110003e+03
## E2F2 2.037221e-09 -5.513608e+02
## KIAA0556 2.181266e-09 8.620443e+02
## POLQ 2.210686e-09 -7.659647e+02
## MND1 2.265934e-09 -8.986946e+02
## CENPL 2.331609e-09 -1.019731e+03
## PSMD14 2.482313e-09 -8.740022e+02
## COQ6 2.617453e-09 9.184715e+02
## XAB2 2.699227e-09 8.058129e+02
## PFKP 2.710517e-09 -4.140664e+02
## YTHDC2 2.946659e-09 1.414686e+03
## PAK1IP1 3.155443e-09 -9.453482e+02
## NCOA7 3.216788e-09 -4.946433e+02
## CLK1 3.263841e-09 8.454728e+02
## RANBP1 3.521106e-09 -7.558367e+02
## RAD51AP1 3.540396e-09 -6.512603e+02
## KIF14 3.596742e-09 -9.649062e+02
## GPSM2 3.820187e-09 -7.395574e+02
## CHCHD3 4.082414e-09 -9.473515e+02
## ZNF500 4.416892e-09 1.229718e+03
## VRK1 4.826112e-09 -1.059776e+03
## GPR126 4.977726e-09 -8.152167e+02
## HMMR 5.947035e-09 -7.527618e+02
## STX7 6.284743e-09 -9.264622e+02
## IMPAD1 6.755021e-09 -8.798847e+02
## TENC1 6.774149e-09 1.568059e+03
## DNAH7 6.966489e-09 1.467613e+03
## C1orf21 7.108086e-09 5.532615e+02
## NUP93 7.275875e-09 -8.142554e+02
## SLC16A10 7.595707e-09 -8.874466e+02
## CROT 7.836900e-09 5.147773e+02
## NKTR 8.687471e-09 8.719219e+02
## MRPL3 8.891957e-09 -1.012717e+03
## BIRC5 8.901148e-09 -4.694472e+02
## NME3 8.971809e-09 6.129619e+02
## SLC7A8 1.011107e-08 4.620428e+02
## NUP50 1.013006e-08 -1.162361e+03
## ZC3H14 1.080432e-08 1.178892e+03
## LAPTM4B 1.126281e-08 -4.073125e+02
## ACOT7 1.307651e-08 -6.677664e+02
## ENY2 1.428798e-08 -7.040246e+02
## SUV39H1 1.470843e-08 -1.024668e+03
## BAZ2B 1.667416e-08 9.552700e+02
## PLCH1 1.716727e-08 -8.639344e+02
## MCM6 1.728945e-08 -7.679627e+02
## DFNB31 2.061223e-08 1.045711e+03
## LMNB1 2.082481e-08 -1.337829e+03
## MYB 2.122780e-08 3.434459e+02
## ZSCAN20 2.336470e-08 -1.698564e+03
## CLCC1 2.413018e-08 -7.481019e+02
## MLPH 2.432753e-08 2.501925e+02
## RBM28 2.567706e-08 -1.078090e+03
## RAPGEF3 2.667471e-08 9.503266e+02
## PANX1 2.779371e-08 -1.256269e+03
## SPHK2 2.805243e-08 1.082047e+03
## CIAPIN1 3.053961e-08 -9.755358e+02
## RBM6 3.358159e-08 9.874184e+02
## DNAJC12 3.400216e-08 2.444111e+02
## E2F3 3.491257e-08 -7.365975e+02
## REEP1 3.728368e-08 3.801318e+02
## CPSF3 3.989873e-08 -1.149176e+03
## ZNF516 4.160610e-08 1.823670e+03
## RFC2 4.201886e-08 -9.238815e+02
## RAB2A 4.270455e-08 -8.558104e+02
## SNRPC 4.472529e-08 -9.771643e+02
## PSMD7 4.825644e-08 -6.691366e+02
## TCEB3 5.020330e-08 -1.147388e+03
## MTHFD1L 5.081084e-08 -7.135977e+02
## POMT2 5.150969e-08 8.889457e+02
## HPS1 5.185942e-08 -1.083342e+03
## PEX11G 5.327984e-08 1.242419e+03
## TUBA1B 5.523345e-08 -9.993537e+02
## MEF2D 5.529003e-08 7.922421e+02
## ZNF302 5.530505e-08 8.918820e+02
## TBPL1 5.555628e-08 -8.393317e+02
## GNPTG 6.175637e-08 7.952371e+02
## SNX8 6.199899e-08 -8.122402e+02
## XBP1 6.480172e-08 4.109026e+02
## CDH3 6.576154e-08 -3.117756e+02
## RRAGD 6.623967e-08 -5.846121e+02
## ZNF446 6.644421e-08 8.932253e+02
## PGK1 6.677199e-08 -5.417213e+02
## MRTO4 6.775272e-08 -9.796841e+02
## CHIC2 6.919706e-08 -9.530230e+02
## GMNN 6.976459e-08 -6.500975e+02
## CX3CL1 7.017868e-08 -3.285284e+02
## RAB5B 7.400657e-08 1.119436e+03
## PNPLA4 8.337177e-08 9.065823e+02
## EFHC1 8.599729e-08 8.278938e+02
## ACOT9 8.678816e-08 -6.932215e+02
## TBC1D9 8.875583e-08 2.906026e+02
## SRPK1 9.255784e-08 -8.090964e+02
## SUV420H1 9.519972e-08 -7.185947e+02
## CBX7 9.525467e-08 7.774701e+02
## UCHL5 9.690301e-08 -7.718200e+02
## ATP11C 9.794748e-08 -8.971539e+02
## ATP1B3 9.904540e-08 -7.055979e+02
## SNAPC2 1.035846e-07 8.448409e+02
## STC2 1.081711e-07 2.207666e+02
## TMEM189-UBE2V1 1.117132e-07 -8.270699e+02
## DBNDD1 1.145489e-07 -4.741990e+02
## RASAL1 1.155387e-07 -9.697883e+02
## ADD1 1.159563e-07 9.674167e+02
## ZZEF1 1.211627e-07 1.109565e+03
## RAD50 1.241407e-07 1.056179e+03
## HEBP2 1.248081e-07 -5.008715e+02
## RBM18 1.470702e-07 -7.830514e+02
## SLC22A18 1.491662e-07 5.325706e+02
## RAB17 1.618215e-07 4.735993e+02
## MVP 1.657209e-07 7.951470e+02
## APBB3 1.709118e-07 6.751076e+02
## ITGB1BP1 1.751866e-07 -8.429496e+02
## TNRC6A 1.771924e-07 7.893147e+02
## CCDC130 1.785795e-07 8.350428e+02
## LDHB 1.791105e-07 -3.608935e+02
## POP1 1.816940e-07 -9.969566e+02
## TGFBR3 1.834034e-07 3.287461e+02
## RLN2 1.861781e-07 7.970706e+02
## NEK2 1.897906e-07 -4.931992e+02
## SQLE 1.968377e-07 -4.372740e+02
## MCM4 1.999649e-07 -5.112467e+02
## AARS 2.024091e-07 -7.505446e+02
## WWTR1 2.040911e-07 -1.010478e+03
## CDC25B 2.097560e-07 -4.953486e+02
## CST3 2.106374e-07 5.333628e+02
## DICER1 2.239814e-07 8.671803e+02
## HPCAL1 2.399273e-07 -7.084050e+02
## AHNAK 2.496140e-07 7.228201e+02
## NCK2 2.591113e-07 -6.662388e+02
## MASTL 2.664501e-07 -9.363868e+02
## MSH6 2.957065e-07 -9.036007e+02
## SLC7A6OS 3.259642e-07 -1.475210e+03
## YIPF4 3.366963e-07 -7.603909e+02
## HOMER3 3.386487e-07 -7.518068e+02
## TOLLIP 3.397020e-07 9.060427e+02
## THPO 3.447188e-07 1.193093e+03
## PIGV 3.620652e-07 9.032583e+02
## PILRB 3.717872e-07 5.524938e+02
## ICA1 3.782475e-07 7.267971e+02
## ALDH3A2 3.851597e-07 4.761989e+02
## IFT88 3.927755e-07 9.439462e+02
## CDK6 4.043144e-07 -4.420449e+02
## RGS11 4.064558e-07 3.600376e+02
## SNX1 4.221824e-07 1.134132e+03
## MID1 4.259583e-07 -6.348214e+02
## CCL20 4.278464e-07 -7.220141e+02
## BCKDHB 4.302593e-07 8.246372e+02
## ELF4 4.440398e-07 -8.815704e+02
## PGR 4.787017e-07 4.119026e+02
## NFE2L3 4.897432e-07 -4.521583e+02
## SESN1 4.901428e-07 7.310139e+02
## MTFR1 4.976744e-07 -5.614726e+02
## RPP40 5.263709e-07 -6.943205e+02
## HHAT 5.325448e-07 9.798959e+02
## COQ9 5.359926e-07 -8.466427e+02
## RIPK2 5.418550e-07 -6.427733e+02
## CHDH 5.897099e-07 1.354904e+03
## KCNG1 5.963242e-07 -4.810286e+02
## KLHL22 6.157568e-07 8.270697e+02
## NPHP3 6.583561e-07 9.569440e+02
## BAI2 6.837834e-07 8.325522e+02
## IGSF21 7.038598e-07 3.316433e+02
## YAF2 7.197203e-07 -1.188857e+03
## LGMN 7.230428e-07 -5.649416e+02
## ELOVL1 7.580538e-07 -9.966885e+02
## KIAA1324 7.757930e-07 3.260449e+02
## DHRS12 7.838387e-07 1.123723e+03
## TUSC2 8.000932e-07 1.112274e+03
## MAP2K4 8.011884e-07 6.124651e+02
## MARCO 8.068469e-07 -4.560323e+02
## HTATIP2 8.282617e-07 -5.355036e+02
## MAPKAPK5 8.411318e-07 -8.495536e+02
## STK17B 8.592056e-07 -7.530790e+02
## CKS2 9.370584e-07 -4.725441e+02
## HIVEP2 9.546521e-07 -1.529198e+03
## TMEM59 9.668639e-07 7.859935e+02
## C17orf75 9.806353e-07 8.507774e+02
## CHRD 9.974553e-07 3.949029e+02
## KIF18A 1.029022e-06 -1.122990e+03
## GLRB 1.044279e-06 4.053943e+02
## RBBP6 1.045037e-06 8.876587e+02
## CACNA1F 1.068597e-06 1.351625e+03
## LANCL1 1.128019e-06 7.920995e+02
## SLC25A13 1.144197e-06 -6.454985e+02
## RDH10 1.149051e-06 -3.395425e+02
## IGFALS 1.160385e-06 6.242669e+02
## ABHD14B 1.172321e-06 8.337689e+02
## CLCN6 1.179742e-06 1.138866e+03
## CA12 1.190163e-06 2.038956e+02
## NMU 1.192887e-06 -5.062766e+02
## FAM136A 1.198811e-06 -9.220106e+02
## CLK4 1.202136e-06 1.085097e+03
## FMO1 1.242343e-06 -4.903438e+02
## LRP2 1.277859e-06 3.628443e+02
## PREX1 1.285397e-06 5.643449e+02
## SREBF1 1.336798e-06 3.886189e+02
## RHEB 1.340402e-06 -7.760552e+02
## HIF1A 1.347381e-06 -6.494042e+02
## DNAJC3 1.354314e-06 -8.179677e+02
## SF3B14 1.433330e-06 -6.005531e+02
## ANAPC4 1.438189e-06 9.421629e+02
## SYTL4 1.515805e-06 3.949160e+02
## MET 1.552893e-06 -1.202759e+03
## RLF 1.557195e-06 -1.463839e+03
## SLC35A2 1.622105e-06 -6.910158e+02
## HNF4A 1.627249e-06 1.532719e+03
## IQCH 1.628227e-06 2.404463e+03
## PALM 1.628971e-06 4.840146e+02
## ACADVL 1.655332e-06 7.853250e+02
## SPAG5 1.658211e-06 -9.396445e+02
## CLTA 1.715283e-06 -9.794938e+02
## ACAA1 1.783586e-06 7.270014e+02
## REEP6 1.809546e-06 2.764207e+02
## RHBDL1 1.818494e-06 4.813952e+02
## PSME4 1.823165e-06 -5.681067e+02
## ANKRD12 1.854672e-06 9.849948e+02
## SNX25 1.882399e-06 8.452322e+02
## ZNF510 1.894557e-06 1.700715e+03
## GLRX2 1.979751e-06 -7.396783e+02
## FBXW4 1.997034e-06 8.065501e+02
## FKBP1A 2.047208e-06 -8.165826e+02
## LUC7L 2.147362e-06 8.593227e+02
## LETMD1 2.164305e-06 9.846740e+02
## ENO1 2.177886e-06 -5.946010e+02
## PCM1 2.238997e-06 4.967553e+02
## PDE8A 2.239397e-06 -1.298538e+03
## CTSC 2.257962e-06 -4.273195e+02
## IL4I1 2.275578e-06 -6.198647e+02
## FAM120B 2.324791e-06 8.410198e+02
## HSD17B2 2.328989e-06 -3.681536e+02
## CCNI 2.346704e-06 8.385228e+02
## TACC3 2.356350e-06 -7.215867e+02
## TSPAN1 2.378261e-06 3.080311e+02
## CCL8 2.454862e-06 -2.699800e+02
## ZNF324 2.470419e-06 8.029801e+02
## DYRK1B 2.591494e-06 9.909711e+02
## PI3 2.720834e-06 -2.869128e+02
## STXBP2 2.777717e-06 6.853878e+02
## PITX1 2.821510e-06 -2.383057e+02
## TRMT11 2.871332e-06 -8.244232e+02
## TUBG2 2.871546e-06 6.450994e+02
## EIF4B 2.882818e-06 7.667847e+02
## THOC3 2.884886e-06 -6.696221e+02
## PVR 2.897141e-06 -9.158586e+02
## CD99L2 2.971436e-06 6.735807e+02
## NEK11 3.013287e-06 6.340843e+02
## SLC4A7 3.045069e-06 5.929373e+02
## POLR2F 3.074577e-06 -7.384525e+02
## SMU1 3.150136e-06 -1.150128e+03
## TMEM101 3.196123e-06 3.974757e+02
## PDCD10 3.205555e-06 -6.694033e+02
## RND3 3.260580e-06 -4.042828e+02
## BID 3.298350e-06 -8.576145e+02
## TNFRSF12A 3.420886e-06 -3.935405e+02
## ZFYVE26 3.525669e-06 1.009148e+03
## PHGDH 3.556718e-06 -2.748684e+02
## ECT2 3.589408e-06 -4.979420e+02
## MAPRE1 3.646512e-06 -9.556766e+02
## ATP6V0A1 3.719826e-06 7.471025e+02
## ABHD5 3.756250e-06 -8.547807e+02
## TRIB3 3.762234e-06 -4.354682e+02
## PHF7 3.764350e-06 1.240355e+03
## HAMP 3.784571e-06 -5.003726e+02
## DPM1 3.793204e-06 -6.062270e+02
## HSD17B8 3.805214e-06 5.927818e+02
## PKD1 3.886214e-06 7.718438e+02
## COL16A1 3.918490e-06 4.364343e+02
## SEC62 4.212634e-06 7.703081e+02
## DEK 4.281791e-06 -5.567404e+02
## ZWINT 4.305085e-06 -5.182309e+02
## RPL34 4.307999e-06 -5.568015e+02
## EZH2 4.352216e-06 -7.362443e+02
## CENPF 4.397711e-06 -4.492588e+02
## ZNF211 4.439502e-06 8.203248e+02
## TFRC 4.504599e-06 -4.542304e+02
## KCNN4 4.577133e-06 -6.975330e+02
## HINT3 4.637279e-06 -8.753470e+02
## FERMT1 4.767908e-06 -6.295967e+02
## MCM2 4.787806e-06 -5.238643e+02
## FLVCR2 4.902858e-06 -8.212744e+02
## TMEM132A 4.951740e-06 -4.100933e+02
## CHCHD2 5.008573e-06 -7.999741e+02
## TBC1D17 5.175460e-06 1.146834e+03
## ENPP5 5.362742e-06 3.296344e+02
## PPP1R3C 5.427204e-06 2.446494e+02
## FBXL5 5.465566e-06 6.808111e+02
## KLF6 5.550262e-06 -5.171779e+02
## CYB5B 5.558583e-06 -9.548381e+02
## HCFC1R1 5.611403e-06 6.358439e+02
## PROM1 5.691017e-06 -1.621232e+02
## VPS13D 5.849306e-06 1.042427e+03
## NT5C2 5.966385e-06 -7.541846e+02
## MRPL19 6.222315e-06 -7.824598e+02
## ZC3H15 6.257680e-06 -7.530491e+02
## PDS5A 6.266212e-06 8.753674e+02
## THBS4 6.344486e-06 2.584385e+02
## ATP7B 6.401294e-06 3.965324e+02
## CRY2 6.502226e-06 7.877760e+02
## PDCL3 6.537783e-06 -9.490243e+02
## HOXB3 6.607738e-06 4.718858e+02
## WDR35 6.748005e-06 8.391241e+02
## HEATR1 6.765698e-06 -6.926924e+02
## PSMA4 6.779760e-06 -7.506999e+02
## SLC25A43 6.785917e-06 -6.932917e+02
## DNTTIP1 6.812830e-06 -8.624363e+02
## NEIL3 6.905728e-06 -1.218660e+03
## KIF16B 6.978920e-06 6.497511e+02
## PCBP4 7.025059e-06 -1.252229e+03
## SLC7A4 7.147161e-06 7.651242e+02
## BTBD7 7.181866e-06 9.840818e+02
## LAMP3 7.401724e-06 -3.241414e+02
## TNRC6C 7.433593e-06 1.626333e+03
## GRIA2 7.546350e-06 1.767229e+02
## MED13L 7.547578e-06 8.018032e+02
## CLN5 7.635587e-06 7.758419e+02
## OSM 7.688815e-06 -6.983454e+02
## ZC3H7A 7.696547e-06 9.893136e+02
## SCNN1A 7.777743e-06 2.766111e+02
## GEMIN8 7.878451e-06 9.855832e+02
## IL20RA 8.000366e-06 5.121516e+02
## ADPRHL2 8.074749e-06 -9.409292e+02
## MRPS15 8.537835e-06 -8.459495e+02
## C1orf63 8.627211e-06 6.938553e+02
## GLI3 8.685714e-06 4.548397e+02
## VIPR1 8.946084e-06 4.949268e+02
## EPHX2 9.281446e-06 4.786147e+02
## TTC19 9.389050e-06 6.946922e+02
## ARSD 9.634534e-06 4.638227e+02
## LYZ 9.696536e-06 -2.276286e+02
## PRDX4 9.766195e-06 -6.065630e+02
## DNAH1 9.816086e-06 8.669391e+02
## PYCARD 9.828258e-06 3.605366e+02
## CBFB 9.834375e-06 -7.349289e+02
## C3orf18 1.006160e-05 1.283321e+03
## ABCC8 1.011127e-05 3.357866e+02
## RNF215 1.013251e-05 9.928237e+02
## MYOM1 1.062746e-05 7.417102e+02
## LNX1 1.067896e-05 1.300873e+03
## PHKA2 1.074648e-05 6.178785e+02
## TPD52L2 1.084605e-05 -7.756798e+02
## KYNU 1.102305e-05 -2.483806e+02
## YPEL3 1.116444e-05 6.372971e+02
## NFKB1 1.116961e-05 8.264313e+02
## GAPDH 1.166418e-05 -5.627160e+02
## ZMYND11 1.170944e-05 6.918257e+02
## IKBKB 1.176611e-05 4.794533e+02
## ARL1 1.185338e-05 7.610159e+02
## QPRT 1.205973e-05 -2.848183e+02
## MAPK6 1.235666e-05 -7.627591e+02
## CXorf56 1.260303e-05 -9.186029e+02
## VPS35 1.288508e-05 -6.215071e+02
## ACTR3 1.324411e-05 -4.831969e+02
## YTHDC1 1.332109e-05 1.182855e+03
## USP10 1.339797e-05 -7.983930e+02
## ZMYND12 1.347456e-05 7.554173e+02
## CHST10 1.354660e-05 5.718798e+02
## EPB41L5 1.365176e-05 5.831743e+02
## MTIF2 1.367488e-05 -8.708746e+02
## CBLL1 1.394367e-05 -9.528227e+02
## TRAF5 1.411830e-05 4.634218e+02
## MAGED2 1.418017e-05 3.706967e+02
## NDRG1 1.426041e-05 -3.311899e+02
## PRDX1 1.434691e-05 -6.814293e+02
## EEF1E1 1.476992e-05 -6.288962e+02
## GSK3B 1.496844e-05 -6.108369e+02
## MRPL37 1.499144e-05 -6.762983e+02
## BCAT2 1.501988e-05 5.718924e+02
## DNAJB11 1.508863e-05 -7.113079e+02
## CSE1L 1.539834e-05 -6.296150e+02
## TMSB10 1.540224e-05 -7.262957e+02
## DKK1 1.550894e-05 -3.054816e+02
## NUDT1 1.616047e-05 -6.138796e+02
## CRAT 1.625767e-05 3.502638e+02
## ACTL8 1.762882e-05 -8.493880e+02
## PLP2 1.780653e-05 -8.011861e+02
## ASF1B 1.849111e-05 -5.722576e+02
## CYB561D2 1.910058e-05 6.204757e+02
## VASH1 1.917417e-05 6.380511e+02
## CCL2 1.946028e-05 -2.847437e+02
## CLEC16A 1.962324e-05 7.553786e+02
## GSTZ1 1.970587e-05 6.073835e+02
## POP4 2.010208e-05 -7.143339e+02
## CDK5RAP3 2.017515e-05 5.047623e+02
## GDF10 2.022881e-05 1.194990e+03
## ELOVL5 2.023776e-05 3.387733e+02
## CSTF2 2.035680e-05 -8.300633e+02
## NDP 2.057553e-05 1.985083e+02
## ROGDI 2.067819e-05 6.218870e+02
## MMD 2.081351e-05 -5.032028e+02
## VAC14 2.130670e-05 -8.417713e+02
## EDN1 2.166873e-05 -3.755015e+02
## TNFSF13B 2.223418e-05 -4.244923e+02
## CA9 2.272761e-05 -3.430328e+02
## CRAMP1L 2.299657e-05 7.503436e+02
## SPINK4 2.337431e-05 4.729366e+02
## GLTSCR2 2.401763e-05 6.527623e+02
## CD3EAP 2.538636e-05 -1.640085e+03
## MON2 2.538761e-05 8.692618e+02
## F7 2.547900e-05 5.962057e+02
## NTN4 2.593899e-05 2.664860e+02
## SLC2A1 2.696717e-05 -4.208240e+02
## HIST1H2BJ 2.715123e-05 -8.093013e+02
## CACNA2D2 2.743967e-05 4.651079e+02
## SLC25A5 2.788295e-05 -5.704637e+02
## PTOV1 2.813823e-05 7.018771e+02
## PSMB5 2.835907e-05 -6.663769e+02
## TMC5 2.847485e-05 4.928821e+02
## HMGCL 3.012764e-05 7.820018e+02
## ZW10 3.041223e-05 -7.404440e+02
## MAPK1 3.067843e-05 -7.966168e+02
## RABL2B 3.075347e-05 7.486208e+02
## PDHX 3.093402e-05 -6.498202e+02
## PNO1 3.102617e-05 -8.807984e+02
## PRKAB1 3.108202e-05 8.632110e+02
## ATP6V0A4 3.147270e-05 -3.729598e+02
## CHORDC1 3.174481e-05 -7.092324e+02
## IFRD1 3.183452e-05 -6.217244e+02
## PTGER3 3.229276e-05 5.398105e+02
## C1orf198 3.310827e-05 -5.254747e+02
## FBXO5 3.324961e-05 -5.860991e+02
## SEC23IP 3.349804e-05 7.663383e+02
## TYK2 3.354077e-05 7.305941e+02
## LHX2 3.354202e-05 -5.375112e+02
## NPDC1 3.371246e-05 5.042248e+02
## TRIM3 3.384817e-05 6.325397e+02
## NMI 3.399322e-05 -4.401684e+02
## ITIH4 3.445621e-05 8.897210e+02
## PLEKHG1 3.486050e-05 -8.091889e+02
## GPC1 3.494478e-05 6.878080e+02
## IL1R2 3.544142e-05 -6.912227e+02
## TP53BP1 3.551522e-05 8.310507e+02
## PLD1 3.560501e-05 -5.916003e+02
## REXO2 3.566149e-05 -5.191018e+02
## SYT17 3.569188e-05 3.103463e+02
## SRM 3.635318e-05 -5.384128e+02
## FGF10 3.675932e-05 8.324418e+02
## SSBP1 3.687786e-05 -7.290900e+02
## GPM6B 3.710480e-05 -4.378724e+02
## PPP3CB 3.765572e-05 7.871691e+02
## PIBF1 3.819116e-05 1.208778e+03
## AMD1 3.842843e-05 -4.691583e+02
## BCKDK 3.957932e-05 7.004613e+02
## EEPD1 4.028953e-05 1.304250e+03
## SEPSECS 4.157799e-05 1.381524e+03
## SPATA7 4.246807e-05 8.147009e+02
## CACYBP 4.272837e-05 -4.731233e+02
## GTF3C2 4.360790e-05 -1.017057e+03
## MRPS18A 4.377809e-05 -8.037047e+02
## SLC30A9 4.407663e-05 7.826785e+02
## HOOK2 4.481782e-05 5.861247e+02
## HOXB5 4.551557e-05 2.224651e+02
## CYFIP2 4.556027e-05 3.136606e+02
## TGFB3 4.615882e-05 3.800803e+02
## SPATA20 4.645095e-05 3.959315e+02
## SORCS1 4.656447e-05 4.260264e+02
## SLC1A1 4.668920e-05 3.137153e+02
## STARD3NL 4.674575e-05 -7.495594e+02
## DLL3 4.700416e-05 -4.800407e+02
## GABRP 4.730376e-05 -1.705403e+02
## RGS1 4.894108e-05 -2.570802e+02
## RRAGB 4.965005e-05 7.304163e+02
## EEF2K 4.981800e-05 5.942233e+02
## CHST8 4.999702e-05 5.239950e+02
## GBF1 5.045946e-05 1.015372e+03
## CHMP4B 5.049495e-05 7.734894e+02
## HAS3 5.068246e-05 -7.393246e+02
## RRP15 5.093303e-05 -6.535245e+02
## KIAA0020 5.254423e-05 -5.232714e+02
## C1orf112 5.299946e-05 -6.351352e+02
## FAM120A 5.300480e-05 8.293623e+02
## CPT1A 5.358924e-05 -7.015540e+02
## TMEM40 5.386852e-05 -1.057527e+03
## GRM4 5.400452e-05 4.179074e+02
## POLE2 5.428404e-05 -6.148158e+02
## IFIH1 5.523899e-05 -3.822432e+02
## CD58 5.580934e-05 -5.865473e+02
## C10orf76 5.715480e-05 1.089021e+03
## OCEL1 5.765538e-05 6.025844e+02
## PIGQ 5.947817e-05 4.962034e+02
## GORASP1 5.970094e-05 8.659620e+02
## HBQ1 6.020068e-05 -8.904087e+02
## DUSP3 6.023580e-05 6.000541e+02
## TMEM205 6.077640e-05 4.340325e+02
## FANCE 6.113640e-05 -7.356664e+02
## AKAP8 6.247763e-05 9.299229e+02
## C19orf44 6.323812e-05 1.178689e+03
## DNMT3B 6.337237e-05 -7.602222e+02
## SERPINE1 6.517473e-05 -4.534897e+02
## SUPT7L 6.542159e-05 1.899871e+03
## PHF1 6.578935e-05 8.472184e+02
## SORBS1 6.770996e-05 4.291031e+02
## OGFOD1 6.985726e-05 -7.733550e+02
## SERPINC1 6.990784e-05 1.556687e+03
## TIPIN 7.041558e-05 -1.127658e+03
## ACACB 7.322488e-05 3.453716e+02
## PCDHB2 7.617861e-05 -2.681285e+02
## UNC5B 7.702219e-05 5.368978e+02
## BCL11A 7.825354e-05 -2.490053e+02
## USP40 7.928461e-05 1.689094e+03
## POLA2 7.980339e-05 -6.589992e+02
## OAS1 8.331042e-05 -3.409847e+02
## FRY 8.421948e-05 1.797659e+03
## SLC7A9 8.452445e-05 9.798589e+02
## ERBB3 8.475180e-05 3.693594e+02
## RAB9A 8.521466e-05 -5.995956e+02
## ACSL4 8.524326e-05 -8.140972e+02
## SEC22C 8.536297e-05 6.412099e+02
## NCAPD2 9.033643e-05 -5.235502e+02
## PARP11 9.104771e-05 1.065517e+03
## TNK2 9.112452e-05 4.814506e+02
## HECTD1 9.151480e-05 7.706241e+02
## GZMB 9.238081e-05 -2.703624e+02
## PLAUR 9.271765e-05 -4.559696e+02
## XK 9.563958e-05 -8.768655e+02
## CCDC86 9.837184e-05 -5.619356e+02
## ANKRD10 9.922380e-05 5.514604e+02
## SEC22A 9.945346e-05 -9.336254e+02
## CD38 9.981993e-05 -3.413408e+02
## FUCA2 1.001564e-04 -6.450538e+02
## BAIAP2L1 1.003041e-04 -4.286354e+02
## ALDOC 1.003571e-04 -2.904224e+02
## HEATR5B 1.008677e-04 9.475768e+02
## RNF10 1.009038e-04 8.532559e+02
## SLC1A4 1.034701e-04 4.274650e+02
## C12orf5 1.055608e-04 -6.615739e+02
## CARD8 1.059941e-04 6.675276e+02
## ADCK1 1.092862e-04 9.127906e+02
## TNNT2 1.095813e-04 -9.310183e+02
## ZNF423 1.096275e-04 5.974333e+02
## EBNA1BP2 1.108675e-04 -7.289689e+02
## TRAK2 1.115317e-04 5.137086e+02
## ANKRD27 1.145369e-04 -8.140675e+02
## C16orf62 1.146306e-04 9.645037e+02
## PAFAH1B1 1.166375e-04 8.243091e+02
## SRGN 1.182294e-04 -2.955477e+02
## ERGIC2 1.194953e-04 -4.933781e+02
## IFIT3 1.220979e-04 -2.924681e+02
## SGK3 1.237091e-04 3.553159e+02
## B4GALT4 1.239789e-04 -8.466970e+02
## GTF3C3 1.267302e-04 -9.099638e+02
## RHBDF1 1.281014e-04 4.931992e+02
## IL32 1.289942e-04 -3.870103e+02
## ZFYVE16 1.308457e-04 1.357646e+03
## ACTR8 1.313759e-04 1.388783e+03
## TSPO 1.332857e-04 -6.064868e+02
## VAMP7 1.384461e-04 -7.701352e+02
## CCNB1IP1 1.394909e-04 -5.909385e+02
## RNASEH2A 1.395321e-04 -5.560060e+02
## POLR3H 1.406428e-04 7.245845e+02
## XPO5 1.413215e-04 -7.108031e+02
## SPOP 1.421093e-04 4.679429e+02
## JOSD1 1.428540e-04 -8.281721e+02
## HDLBP 1.437285e-04 -1.283748e+03
## IGSF9B 1.440040e-04 9.297412e+02
## COLEC11 1.444082e-04 -8.367313e+02
## RGS4 1.499001e-04 -3.814179e+02
## CDC34 1.505508e-04 -6.448796e+02
## TREM1 1.522358e-04 -8.458816e+02
## MRS2 1.523371e-04 -7.158764e+02
## SLC4A4 1.524036e-04 5.995318e+02
## MKNK2 1.582199e-04 4.393897e+02
## HOXB6 1.590569e-04 4.233868e+02
## WWP1 1.619183e-04 3.678022e+02
## VIPR2 1.619768e-04 4.526848e+02
## COASY 1.622332e-04 5.215801e+02
## MTERFD3 1.635417e-04 2.125039e+03
## BCAT1 1.647367e-04 -4.537114e+02
## ZFX 1.693821e-04 6.265714e+02
## BNIP3L 1.722441e-04 4.809056e+02
## DR1 1.723487e-04 -7.400163e+02
## CENPM 1.768668e-04 -4.513668e+02
## ARHGEF18 1.781043e-04 7.678672e+02
## BUD31 1.801372e-04 -8.762224e+02
## BRD8 1.814841e-04 6.746600e+02
## COMP 1.837617e-04 2.148260e+02
## UBR2 1.856153e-04 -7.920837e+02
## CASP14 1.880367e-04 -4.675705e+02
## PKP1 1.887951e-04 -3.165282e+02
## UBE3A 1.902852e-04 5.976936e+02
## PLTP 1.903042e-04 -3.841432e+02
## ANGPT2 1.911294e-04 -5.232570e+02
## MADD 1.933047e-04 9.704536e+02
## RASSF7 1.955678e-04 4.554148e+02
## C19orf25 1.957161e-04 8.736362e+02
## KLHL5 1.977123e-04 4.466638e+02
## GOLT1B 2.011777e-04 -6.454812e+02
## AGK 2.011868e-04 -8.922787e+02
## MAN2B2 2.058334e-04 5.682408e+02
## TRIM2 2.071455e-04 -3.316476e+02
## CISD1 2.077436e-04 -5.465703e+02
## SEL1L 2.092789e-04 7.814317e+02
## ZNF76 2.092902e-04 8.219393e+02
## MEIS3 2.112577e-04 6.488911e+02
## ERCC8 2.113205e-04 -1.100703e+03
## SERPINB6 2.114631e-04 5.332690e+02
## CCT4 2.118115e-04 -8.037185e+02
## MDH1 2.121547e-04 -7.184338e+02
## CCND1 2.139153e-04 2.463619e+02
## GCNT2 2.146371e-04 -3.931099e+02
## HERC1 2.151950e-04 7.308942e+02
## HCCS 2.186946e-04 -7.823220e+02
## AP2B1 2.214579e-04 5.023765e+02
## NSUN2 2.229600e-04 -7.020141e+02
## MAD2L2 2.230119e-04 -6.028675e+02
## CBFA2T2 2.266650e-04 8.626951e+02
## FAM83E 2.289142e-04 4.194175e+02
## TTC31 2.304047e-04 9.647439e+02
## RAPGEF4 2.319458e-04 7.309714e+02
## SLC30A3 2.356978e-04 -8.191361e+02
## TCP1 2.373664e-04 -4.024462e+02
## PQBP1 2.380010e-04 -7.250164e+02
## SMS 2.385350e-04 -4.911357e+02
## FOLR1 2.434282e-04 -2.201840e+02
## GGA2 2.438700e-04 6.110423e+02
## LMF1 2.441163e-04 8.603682e+02
## MRPS30 2.441748e-04 2.311790e+02
## TMEM106B 2.450604e-04 5.857977e+02
## NRN1 2.467548e-04 -1.398786e+03
## MEGF9 2.486965e-04 6.522230e+02
## C12orf49 2.490613e-04 -7.587650e+02
## NAMPT 2.497620e-04 -4.538159e+02
## PAF1 2.504465e-04 7.698443e+02
## ULBP1 2.527731e-04 -1.179815e+03
## PUM2 2.535971e-04 8.422193e+02
## ALKBH1 2.569377e-04 8.538004e+02
## HSPA5 2.572371e-04 5.352498e+02
## CSNK2A2 2.601624e-04 -6.407514e+02
## CENPK 2.618960e-04 -6.397961e+02
## MRPS14 2.623132e-04 9.422150e+02
## NFKBIB 2.670061e-04 -8.138570e+02
## ZNF346 2.676116e-04 9.496091e+02
## BAK1 2.698554e-04 -9.506154e+02
## CIC 2.716258e-04 8.614178e+02
## SNX3 2.730806e-04 -5.576154e+02
## SMARCA2 2.738234e-04 4.917936e+02
## WFS1 2.750556e-04 3.688930e+02
## GNAI3 2.778175e-04 -7.540913e+02
## GDE1 2.781620e-04 6.557993e+02
## SLC22A16 2.794495e-04 -1.240208e+03
## TGM1 2.800835e-04 -1.418737e+03
## RHBDD2 2.861632e-04 5.498632e+02
## TFPI 2.863880e-04 -3.433681e+02
## MAST3 2.877061e-04 7.330377e+02
## LAMP2 2.900789e-04 -5.576121e+02
## SLC44A1 2.907170e-04 5.107143e+02
## CD82 2.930493e-04 -5.055080e+02
## UNG 2.946034e-04 -4.305315e+02
## PER3 2.962364e-04 5.590253e+02
## POLR3G 2.980044e-04 -1.724709e+03
## ID2 2.995144e-04 -4.834357e+02
## P4HA2 3.033398e-04 -5.219188e+02
## HM13 3.063266e-04 -4.111860e+02
## LSR 3.082963e-04 -5.171244e+02
## LCT 3.093664e-04 -4.733985e+02
## TPSG1 3.107097e-04 2.647080e+02
## RNF130 3.129470e-04 -6.125720e+02
## CISH 3.155468e-04 4.201013e+02
## ST3GAL4 3.205699e-04 -6.350099e+02
## MUSK 3.213840e-04 -8.797790e+02
## DYNC1I2 3.229506e-04 6.366740e+02
## HIVEP1 3.245220e-04 -8.465349e+02
## FN1 3.298893e-04 -6.119237e+02
## DHDH 3.331794e-04 -5.100871e+02
## DOCK7 3.351858e-04 -6.126255e+02
## EPHB6 3.360952e-04 -5.024617e+02
## SIGLEC1 3.386050e-04 -1.188034e+03
## SNAP29 3.410820e-04 7.094831e+02
## IL17RB 3.436533e-04 2.628560e+02
## GOSR2 3.438915e-04 -6.973608e+02
## EVI5 3.460912e-04 5.306986e+02
## PPP2R5C 3.475019e-04 -6.977879e+02
## AGR2 3.477096e-04 1.797150e+02
## OPN3 3.482104e-04 -3.847225e+02
## FTSJ2 3.527445e-04 -1.054994e+03
## TBC1D19 3.528497e-04 8.405855e+02
## FBL 3.613862e-04 -5.361759e+02
## SRI 3.632332e-04 4.135945e+02
## FAM98A 3.655027e-04 -4.319339e+02
## ARRDC3 3.660520e-04 -6.461859e+02
## SIL1 3.667241e-04 4.888764e+02
## HELLS 3.670674e-04 -8.096856e+02
## HBEGF 3.708911e-04 -4.485914e+02
## ANKRD26 3.733974e-04 8.777867e+02
## STK38 3.750711e-04 -4.943012e+02
## SLC2A3 3.752124e-04 -3.515918e+02
## MTMR9 3.797476e-04 6.974154e+02
## NUB1 3.845272e-04 6.591292e+02
## AKAP11 3.859363e-04 7.406020e+02
## SMARCE1 3.877376e-04 5.381401e+02
## CORO1C 3.882786e-04 -5.708633e+02
## GNPTAB 3.928109e-04 -6.542205e+02
## ADCK4 3.977768e-04 7.605144e+02
## PPP2R5A 4.005919e-04 5.100266e+02
## CCDC28A 4.013584e-04 5.651371e+02
## AP1S1 4.144751e-04 -4.417493e+02
## LY6G5C 4.145357e-04 9.337193e+02
## LOX 4.150907e-04 -3.840669e+02
## FCGBP 4.152804e-04 1.638328e+02
## EHD1 4.161808e-04 -5.524252e+02
## CDC5L 4.200050e-04 -5.479988e+02
## DCPS 4.238781e-04 -6.696837e+02
## ARHGAP10 4.439787e-04 -5.282400e+02
## ZNF671 4.446356e-04 4.752830e+02
## TPI1 4.471568e-04 -5.281554e+02
## ZSCAN18 4.547123e-04 2.885990e+02
## TOP2B 4.572572e-04 6.300609e+02
## SCGB1D2 4.587884e-04 9.296858e+01
## ARMC8 4.672079e-04 -6.878564e+02
## ME1 4.707105e-04 -3.997871e+02
## NCL 4.845164e-04 -7.241677e+02
## FCN1 4.856911e-04 -3.009132e+02
## TULP1 4.958691e-04 -1.670221e+03
## FOXC1 5.003886e-04 -1.843833e+02
## MYH3 5.028328e-04 9.874686e+02
## FUT8 5.065900e-04 3.949850e+02
## LAG3 5.084930e-04 -3.872378e+02
## PIGT 5.099032e-04 4.398362e+02
## SLC6A4 5.101134e-04 3.623030e+02
## MAPKAP1 5.106364e-04 -7.066914e+02
## PLA2G10 5.187585e-04 2.090291e+02
## SH3D19 5.361390e-04 5.818970e+02
## TSPAN14 5.422076e-04 -8.013350e+02
## STAT1 5.462723e-04 -3.118416e+02
## LAPTM4A 5.529801e-04 -8.092617e+02
## AES 5.571629e-04 5.829212e+02
## UNC93B1 5.611323e-04 -5.150253e+02
## C7orf49 5.613385e-04 -6.753910e+02
## MPHOSPH10 5.625929e-04 -7.396975e+02
## SEC31B 5.647280e-04 1.634506e+03
## TOMM34 5.685578e-04 -6.114734e+02
## SPDEF 5.757108e-04 1.932779e+02
## CSTF1 5.766601e-04 -9.144604e+02
## CC2D2A 5.828223e-04 8.070344e+02
## PROX1 5.898883e-04 -9.480344e+02
## SOX4 6.036709e-04 -4.634482e+02
## PRKCQ 6.087599e-04 -5.760245e+02
## RGS2 6.119538e-04 -2.475271e+02
## FTL 6.120195e-04 -6.339593e+02
## ZNF264 6.126510e-04 4.560081e+02
## SEPHS1 6.144754e-04 -5.455403e+02
## CDR2L 6.194043e-04 -3.996370e+02
## MEST 6.195852e-04 -5.290718e+02
## TWIST1 6.199918e-04 -4.354668e+02
## MARK3 6.239442e-04 1.010652e+03
## POLR3GL 6.295345e-04 5.992424e+02
## TTC7A 6.305064e-04 -1.139241e+03
## COCH 6.343247e-04 -4.100193e+02
## TFAP2C 6.358427e-04 -3.281517e+02
## NRBP1 6.363841e-04 -8.935332e+02
## C12orf57 6.425198e-04 4.707792e+02
## RCAN3 6.503488e-04 -8.057927e+02
## ACIN1 6.593421e-04 6.398089e+02
## CABIN1 6.594012e-04 6.892668e+02
## ROPN1 6.606277e-04 -2.159001e+02
## MMP15 6.629331e-04 -5.684937e+02
## RLN1 6.665392e-04 1.077537e+03
## SYT13 6.679145e-04 1.621117e+02
## CARD10 6.704333e-04 4.287911e+02
## FRYL 6.708145e-04 7.008400e+02
## IFIT2 6.733593e-04 -2.750806e+02
## PDK3 6.749565e-04 -5.546674e+02
## GDI2 6.779053e-04 -4.737788e+02
## ME2 6.829491e-04 -5.122682e+02
## SIAE 6.879129e-04 -1.395311e+03
## MAPK14 6.933550e-04 -1.402557e+03
## TTC17 7.054896e-04 4.977235e+02
## TIMELESS 7.072449e-04 -4.959882e+02
## HMG20B 7.100977e-04 4.888466e+02
## STUB1 7.135013e-04 5.723799e+02
## CAP2 7.173431e-04 2.812815e+02
## GNLY 7.278910e-04 -2.700204e+02
## BZRAP1 7.283628e-04 5.599136e+02
## WDR7 7.294345e-04 8.143625e+02
## ASPN 7.344746e-04 1.998332e+03
## CD97 7.365464e-04 -3.375988e+02
## RBM22 7.389477e-04 7.865332e+02
## KLC3 7.461645e-04 -7.242974e+02
## CLUL1 7.481344e-04 7.725183e+02
## ELF2 7.581850e-04 8.049269e+02
## SMOC2 7.601992e-04 2.839639e+02
## GCLM 7.615886e-04 -4.988069e+02
## TM9SF1 7.669944e-04 5.991808e+02
## SPR 7.682331e-04 3.689686e+02
## MAP3K1 7.736059e-04 3.529918e+02
## PROC 7.810468e-04 1.088162e+03
## RREB1 7.844037e-04 7.902238e+02
## POLI 7.854804e-04 1.831304e+03
## UBTF 7.866054e-04 8.019968e+02
## CSNK2A1 7.945361e-04 -6.020411e+02
## SORBS3 7.971479e-04 4.672078e+02
## KLHDC3 7.980154e-04 -6.304165e+02
## SH3GLB1 8.079087e-04 -5.925862e+02
## CADM4 8.131927e-04 4.932775e+02
## CD46 8.132598e-04 4.289991e+02
## POMGNT1 8.156335e-04 5.480316e+02
## EXOSC3 8.156756e-04 -4.299809e+02
## NUCB2 8.162528e-04 2.876007e+02
## GPR137B 8.172638e-04 -3.787685e+02
## TNFAIP3 8.207285e-04 -4.317233e+02
## IKBKAP 8.288566e-04 1.650975e+03
## PERP 8.350957e-04 -3.136600e+02
## C2orf42 8.401727e-04 9.875836e+02
## LFNG 8.455318e-04 2.417652e+02
## GALNT12 8.481560e-04 -7.638792e+02
## IL12RB2 8.483654e-04 -1.377433e+03
## C20orf27 8.649884e-04 -5.200304e+02
## CENPQ 8.703659e-04 -8.326443e+02
## CPVL 8.764444e-04 -2.891043e+02
## ACADS 8.778507e-04 6.390216e+02
## SLC24A1 8.852451e-04 7.388928e+02
## IGF2BP2 8.859242e-04 -3.320931e+02
## DHX29 8.877150e-04 5.798732e+02
## UGDH 8.956283e-04 2.808007e+02
## PPP2R3C 9.117931e-04 -5.100564e+02
## NRP2 9.207994e-04 -1.533877e+03
## PIGH 9.257918e-04 5.137028e+02
## MAP1LC3A 9.320559e-04 3.348317e+02
## DHODH 9.327139e-04 -1.485989e+03
## DNAJC4 9.345252e-04 8.446818e+02
## PSPC1 9.351886e-04 -8.557447e+02
## ABCD3 9.394868e-04 5.021395e+02
## POLR2C 9.422903e-04 -4.931798e+02
## STRAP 9.488148e-04 -5.605418e+02
## KIAA0922 9.501766e-04 -4.729406e+02
## CREBBP 9.514799e-04 6.290163e+02
## UBE2R2 9.526492e-04 -1.337296e+03
## RSBN1 9.544882e-04 6.932878e+02
## IMPDH1 9.555870e-04 -4.788750e+02
## LHX6 9.566073e-04 -5.243209e+02
## ZBTB47 9.606017e-04 8.051612e+02
## PLA2G4C 9.657717e-04 3.937201e+02
## ZNF45 9.683164e-04 9.168353e+02
## NTN1 9.693342e-04 -4.865615e+02
## OSBPL7 9.698413e-04 5.175564e+02
## ERGIC1 9.732569e-04 3.921797e+02
## ZCWPW1 9.754229e-04 6.349744e+02
## EPN2 9.822556e-04 5.851154e+02
## ITGA8 9.836524e-04 8.319341e+02
## LSM5 9.874422e-04 -5.078627e+02
## CAPN1 1.005608e-03 -4.288663e+02
## EIF4G1 1.007923e-03 -6.529946e+02
## DPP8 1.014684e-03 7.910682e+02
## TSC2 1.025122e-03 6.277250e+02
## GPI 1.038862e-03 -4.184480e+02
## TLX1 1.047202e-03 -1.059582e+03
## COPS7A 1.058358e-03 6.837715e+02
## ASNS 1.060352e-03 -3.404643e+02
## PNKP 1.060988e-03 5.331753e+02
## PLS3 1.064209e-03 -3.243861e+02
## TPD52L1 1.065293e-03 -2.381651e+02
## FARP2 1.070594e-03 1.099275e+03
## RTN4R 1.074493e-03 -7.138187e+02
## RBL2 1.074698e-03 5.663044e+02
## ASB1 1.077070e-03 6.793745e+02
## CNTD2 1.085449e-03 3.840016e+02
## LIMCH1 1.086803e-03 2.815298e+02
## CCL7 1.100838e-03 -5.194615e+02
## PSMA7 1.110716e-03 -1.339318e+03
## FECH 1.112165e-03 5.975378e+02
## HECA 1.118899e-03 -5.173377e+02
## INTS9 1.126726e-03 5.844810e+02
## HSD17B10 1.127027e-03 -6.864732e+02
## ZNF175 1.134833e-03 6.355416e+02
## LXN 1.140482e-03 -3.825438e+02
## EARS2 1.162786e-03 6.145385e+02
## SCP2 1.168148e-03 4.621628e+02
## TRIM24 1.175392e-03 -6.220351e+02
## KIF2A 1.179372e-03 -5.630651e+02
## PHPT1 1.185564e-03 4.969133e+02
## LSG1 1.194267e-03 -7.724473e+02
## CYBA 1.198107e-03 -2.999012e+02
## CCDC53 1.200894e-03 5.548872e+02
## GAS7 1.201565e-03 4.417994e+02
## RPL26L1 1.212136e-03 -5.970631e+02
## CRNKL1 1.220776e-03 6.990835e+02
## AASS 1.241004e-03 1.458734e+03
## OLFM4 1.241213e-03 -1.559505e+02
## RBM25 1.241600e-03 6.067495e+02
## SLC1A5 1.263666e-03 -4.038048e+02
## SPTLC2 1.266831e-03 5.241747e+02
## GLCCI1 1.297225e-03 8.931557e+02
## ALG2 1.305022e-03 -1.308442e+03
## DAZAP1 1.311427e-03 -7.281043e+02
## HSD3B7 1.319338e-03 4.348310e+02
## RIF1 1.319872e-03 -6.117825e+02
## PIAS2 1.319958e-03 -6.114492e+02
## WDR62 1.323451e-03 -7.260081e+02
## TTLL5 1.329422e-03 7.661657e+02
## RFC1 1.333403e-03 7.134245e+02
## MGST2 1.334255e-03 4.778486e+02
## SCAMP1 1.336810e-03 5.830261e+02
## RPN2 1.345714e-03 -3.843479e+02
## PCSK1N 1.354911e-03 -2.584039e+02
## FAM20A 1.355556e-03 -7.938163e+02
## SMAD5 1.357180e-03 5.665327e+02
## CRBN 1.373338e-03 6.545529e+02
## PDK2 1.378277e-03 8.082668e+02
## LAMA1 1.379420e-03 -7.770724e+02
## CEP152 1.380615e-03 -1.051879e+03
## STK3 1.382717e-03 -4.953709e+02
## HDDC2 1.387945e-03 -5.313354e+02
## WDR37 1.400271e-03 6.959458e+02
## DDX27 1.401321e-03 -5.377586e+02
## UBE3C 1.403526e-03 -5.678535e+02
## PIGB 1.415965e-03 6.398612e+02
## TNNC2 1.416813e-03 -7.795538e+02
## ERRFI1 1.418962e-03 -3.216251e+02
## PHF5A 1.420290e-03 -5.940401e+02
## ITGB5 1.429377e-03 3.563452e+02
## HPCA 1.433659e-03 1.450982e+03
## ABCD4 1.448133e-03 1.441630e+03
## FOLR3 1.451618e-03 -8.990184e+02
## DUSP16 1.457993e-03 5.006911e+02
## GTF2H3 1.458838e-03 -7.774604e+02
## ROPN1B 1.464652e-03 -2.325586e+02
## TTLL1 1.469421e-03 8.284640e+02
## MTERFD2 1.494965e-03 1.378953e+03
## SAMD4A 1.526643e-03 -6.010836e+02
## VARS 1.533885e-03 -5.544884e+02
## SLC4A11 1.534922e-03 -2.853722e+02
## UCHL3 1.541874e-03 -4.686491e+02
## CCDC88A 1.546281e-03 -1.007725e+03
## ARHGEF17 1.554698e-03 5.758461e+02
## GLRA2 1.554888e-03 -1.857167e+03
## TTF2 1.558231e-03 -4.780155e+02
## MRE11A 1.580380e-03 -7.982981e+02
## NUP153 1.596804e-03 -6.564636e+02
## SDHB 1.626179e-03 -6.481716e+02
## FBXO6 1.631087e-03 -4.756247e+02
## CCDC92 1.655080e-03 6.005885e+02
## FLYWCH1 1.658970e-03 8.705280e+02
## INPP4A 1.674959e-03 -1.305014e+03
## SPAG9 1.681059e-03 -4.693938e+02
## NFIX 1.693276e-03 2.401583e+02
## CD86 1.702724e-03 -3.640476e+02
## PHEX 1.703561e-03 -6.015600e+02
## USP2 1.722041e-03 -2.223171e+03
## PATZ1 1.725895e-03 6.567361e+02
## SIRPG 1.725965e-03 -6.189172e+02
## KCNJ2 1.732426e-03 -5.085435e+02
## RASD2 1.750689e-03 -2.511262e+02
## PCDHB8 1.755670e-03 -7.011414e+02
## LMAN2L 1.761775e-03 6.327565e+02
## CEBPZ 1.766049e-03 -6.783994e+02
## IGBP1 1.766987e-03 4.893701e+02
## PPM1F 1.771328e-03 4.252004e+02
## ARSB 1.772166e-03 -7.437316e+02
## FSCN1 1.778051e-03 -3.003116e+02
## NT5DC3 1.784752e-03 -5.042756e+02
## CDC42 1.799680e-03 -3.867580e+02
## MRPL18 1.805965e-03 -5.262775e+02
## ABCF2 1.808471e-03 -6.441665e+02
## SLC36A1 1.820606e-03 -7.326407e+02
## DGUOK 1.823683e-03 -7.741032e+02
## PDIA5 1.881356e-03 -4.609670e+02
## DUSP4 1.883988e-03 3.170146e+02
## MPND 1.884298e-03 8.886954e+02
## MPDZ 1.888922e-03 4.905336e+02
## NPR3 1.893278e-03 -8.039616e+02
## KPNA3 1.906073e-03 -5.252941e+02
## PODXL2 1.916381e-03 -2.883522e+02
## RBM24 1.923058e-03 3.395796e+02
## GPX7 1.926841e-03 -3.210047e+02
## SLC15A1 1.934042e-03 -9.637746e+02
## MCM5 1.971991e-03 -4.531672e+02
## FH 1.975349e-03 -4.016986e+02
## MAP2K7 1.977458e-03 6.379303e+02
## CNTNAP3 1.977661e-03 -1.275934e+03
## RAB11A 1.990192e-03 4.946761e+02
## LNPEP 1.997930e-03 -6.967466e+02
## DBN1 2.016857e-03 -3.800737e+02
## AADAC 2.034383e-03 -7.123999e+02
## CTNNA1 2.048021e-03 6.122171e+02
## SMC4 2.056980e-03 -4.643995e+02
## PSMA3 2.058037e-03 -4.474195e+02
## ALMS1 2.059172e-03 7.509275e+02
## NUP107 2.065313e-03 -5.222642e+02
## KCNS1 2.073068e-03 -4.242852e+02
## PON3 2.119825e-03 1.774219e+02
## CRYAB 2.125431e-03 -1.612601e+02
## LRP11 2.126806e-03 -4.565252e+02
## ECD 2.133730e-03 -6.242429e+02
## PSMD11 2.178006e-03 -7.988421e+02
## SH2D2A 2.182889e-03 -1.187004e+03
## ATP6V0B 2.200835e-03 -5.342115e+02
## SLC6A2 2.202297e-03 -1.579976e+03
## SEMG1 2.208226e-03 8.839719e+02
## NUBP1 2.239424e-03 6.590545e+02
## DNAJC5 2.241382e-03 -6.287910e+02
## PRDM1 2.287209e-03 -4.090827e+02
## C5orf15 2.287759e-03 5.214288e+02
## UBFD1 2.298757e-03 -5.919744e+02
## SEC61B 2.320358e-03 -5.700706e+02
## BMP7 2.328493e-03 -3.899935e+02
## RHOV 2.332156e-03 -1.147053e+03
## KIAA1467 2.346565e-03 2.163850e+02
## TAS2R10 2.349616e-03 6.507369e+02
## MFSD11 2.349728e-03 5.431171e+02
## GLT8D1 2.352336e-03 6.642515e+02
## TOMM22 2.357645e-03 -5.983639e+02
## ENO3 2.360899e-03 4.633592e+02
## HSDL2 2.385685e-03 4.592047e+02
## PLCL1 2.385797e-03 6.061155e+02
## RAP2C 2.410644e-03 -4.496691e+02
## PLEKHH3 2.413556e-03 4.852165e+02
## GABRE 2.424144e-03 -5.019969e+02
## SMNDC1 2.475845e-03 -5.214083e+02
## SLC46A2 2.478268e-03 -1.092569e+03
## HPS5 2.479011e-03 -6.803694e+02
## SCPEP1 2.479279e-03 -3.171785e+02
## NUAK1 2.499047e-03 3.229770e+02
## PES1 2.515317e-03 -9.774331e+02
## CXCR4 2.546266e-03 -2.313541e+02
## CPD 2.550490e-03 3.602382e+02
## ZIC2 2.583602e-03 -2.246681e+02
## RAB11FIP3 2.588569e-03 3.612979e+02
## LPHN1 2.610306e-03 3.361007e+02
## RFFL 2.616970e-03 6.311810e+02
## GORASP2 2.629783e-03 -7.684810e+02
## PLEK 2.648017e-03 -2.931552e+02
## MRPL32 2.669916e-03 -5.458448e+02
## APOL4 2.696933e-03 -1.361224e+03
## INPP4B 2.708021e-03 2.813546e+02
## MKS1 2.714798e-03 6.534914e+02
## FLT3 2.736488e-03 5.980915e+02
## ST6GALNAC2 2.767821e-03 3.228118e+02
## RNF141 2.772073e-03 5.550842e+02
## TYRO3 2.780016e-03 -6.305288e+02
## ABCA2 2.787428e-03 5.421791e+02
## ZBED4 2.794591e-03 -5.644679e+02
## DARS2 2.818485e-03 -4.690920e+02
## HSPH1 2.823574e-03 -3.836183e+02
## HOXC11 2.842251e-03 -9.851806e+02
## P4HA1 2.866810e-03 -3.514052e+02
## SARM1 2.878498e-03 4.030165e+02
## ATP8A1 2.878874e-03 -1.013564e+03
## DNAJC11 2.887676e-03 -9.530588e+02
## FBXL15 2.899711e-03 7.573637e+02
## RC3H2 2.930200e-03 -6.017323e+02
## RBM23 2.936824e-03 6.416826e+02
## GALC 2.977109e-03 4.234646e+02
## CDH1 2.986533e-03 -1.733085e+02
## RPL22 2.986646e-03 3.559158e+02
## IL17A 2.988967e-03 -1.983770e+03
## MLXIPL 2.989861e-03 6.085989e+02
## FIG4 3.011304e-03 4.284705e+02
## R3HDM1 3.018310e-03 -9.808433e+02
## WNT2 3.037260e-03 -5.056635e+02
## NXT2 3.073069e-03 -5.456663e+02
## TYROBP 3.081021e-03 -2.723687e+02
## TSPAN13 3.082855e-03 2.363857e+02
## RANGAP1 3.083030e-03 -4.189437e+02
## DHRS7 3.109117e-03 3.954232e+02
## SLPI 3.120271e-03 -1.377686e+02
## WWC1 3.122845e-03 -4.156118e+02
## RAB3A 3.123398e-03 -1.444626e+03
## AADAT 3.139965e-03 -3.002600e+02
## ELN 3.141175e-03 2.825505e+02
## PAFAH1B3 3.143748e-03 3.881314e+02
## COPS5 3.171117e-03 -4.755679e+02
## WBP4 3.174206e-03 6.441983e+02
## OAS3 3.192023e-03 -2.652601e+02
## CMAS 3.196920e-03 -4.816420e+02
## SLC35B1 3.197492e-03 -3.172450e+02
## MCM3 3.202066e-03 -4.827977e+02
## CLTCL1 3.203783e-03 -1.237121e+03
## CAMK2B 3.207428e-03 2.170774e+02
## MYLK2 3.210845e-03 -1.059849e+03
## THOC5 3.215745e-03 -5.055220e+02
## SPP1 3.219761e-03 -1.495910e+02
## ITPR2 3.234490e-03 3.372914e+02
## TSSC1 3.235370e-03 -5.956237e+02
## ULK2 3.238978e-03 7.858928e+02
## CD48 3.271309e-03 -2.552300e+02
## YIPF1 3.278620e-03 4.950509e+02
## SMOX 3.287724e-03 -3.958008e+02
## MAPK3 3.308747e-03 4.771131e+02
## ANGEL1 3.350646e-03 6.647156e+02
## USP4 3.358806e-03 8.020731e+02
## RPS10 3.407887e-03 -6.197658e+02
## DGKD 3.413545e-03 6.183822e+02
## EVC 3.417532e-03 4.903421e+02
## CUL2 3.423856e-03 -6.736930e+02
## ATP8B4 3.429426e-03 4.717482e+02
## LRRFIP1 3.439033e-03 3.625786e+02
## ERP29 3.444748e-03 5.924266e+02
## HEBP1 3.458891e-03 3.179207e+02
## OCIAD1 3.462016e-03 3.865253e+02
## GON4L 3.474510e-03 5.514651e+02
## TFAM 3.500986e-03 -5.292570e+02
## SHB 3.501309e-03 -4.910040e+02
## QKI 3.517697e-03 -6.103959e+02
## FBLN1 3.518779e-03 2.226623e+02
## ABCG2 3.535767e-03 1.404676e+03
## PHLDB1 3.537524e-03 3.812332e+02
## EXOSC9 3.537628e-03 -7.131314e+02
## DFNA5 3.556713e-03 -4.105476e+02
## TLE6 3.564503e-03 4.078067e+02
## OTX1 3.565363e-03 -5.466831e+02
## MSH2 3.582844e-03 -1.004140e+03
## CNTN3 3.613161e-03 5.470504e+02
## SLC35C2 3.624147e-03 -6.371910e+02
## SLC26A3 3.640657e-03 2.379940e+02
## TMEM30A 3.641704e-03 5.190570e+02
## CCL3 3.643150e-03 -2.643263e+02
## UNKL 3.646356e-03 5.348724e+02
## SLC35F2 3.656014e-03 -3.034909e+02
## BCL9 3.659351e-03 4.430844e+02
## ITGB8 3.672549e-03 -9.041393e+02
## DHX8 3.673920e-03 7.812281e+02
## SLC9A1 3.674396e-03 4.389072e+02
## TNRC6B 3.717908e-03 4.451275e+02
## PICALM 3.726548e-03 -4.526293e+02
## LYRM1 3.727980e-03 4.491510e+02
## MT2A 3.740265e-03 -2.631597e+02
## FMOD 3.748223e-03 2.597013e+02
## KIAA0247 3.764302e-03 5.595079e+02
## RCN2 3.780778e-03 -3.903970e+02
## RECQL 3.786550e-03 -5.856126e+02
## CDON 3.787487e-03 1.632395e+03
## PSMD3 3.800808e-03 -2.600021e+02
## ST8SIA1 3.810854e-03 -6.801829e+02
## SLC30A4 3.849192e-03 9.176087e+02
## GADD45B 3.884067e-03 -4.086305e+02
## BATF3 3.887146e-03 -6.368178e+02
## ACAD10 3.900323e-03 6.398613e+02
## HSF4 3.908156e-03 7.662758e+02
## CTPS2 3.916241e-03 3.384861e+02
## CSNK1A1 3.960261e-03 5.003256e+02
## CADPS2 3.978900e-03 3.319413e+02
## FBXW2 3.991664e-03 -6.657098e+02
## PLCD4 4.013068e-03 3.849057e+02
## EIF3B 4.039243e-03 -4.799539e+02
## CAB39L 4.082444e-03 -3.844067e+02
## RNF40 4.084395e-03 4.944483e+02
## ABCC5 4.101448e-03 2.701750e+02
## RFC5 4.113746e-03 -4.771906e+02
## CYP46A1 4.125563e-03 7.843919e+02
## PDE4A 4.131645e-03 8.730802e+02
## ERCC1 4.144993e-03 5.341441e+02
## MNT 4.157073e-03 6.592511e+02
## POLM 4.188452e-03 6.178742e+02
## MEF2C 4.206317e-03 5.073442e+02
## ARMCX3 4.250563e-03 3.972848e+02
## PRTFDC1 4.268082e-03 -4.579100e+02
## DAAM1 4.299551e-03 3.992102e+02
## TGIF2 4.337413e-03 -4.221996e+02
## SFRP1 4.344718e-03 -1.233312e+02
## AKR7A2 4.398269e-03 4.482228e+02
## TRADD 4.422346e-03 -4.204926e+02
## EBF3 4.451380e-03 5.707019e+02
## DCUN1D1 4.479697e-03 -6.551640e+02
## NAGLU 4.487247e-03 5.616970e+02
## TXNDC16 4.489962e-03 5.708892e+02
## TMEM98 4.546502e-03 2.402625e+02
## CASQ2 4.552531e-03 5.911945e+02
## PLOD3 4.554854e-03 -4.335792e+02
## ITPK1 4.584943e-03 4.137678e+02
## MS4A4A 4.609986e-03 -4.943188e+02
## RALA 4.613548e-03 -6.284639e+02
## UBL3 4.624343e-03 4.234385e+02
## APPBP2 4.640179e-03 3.640504e+02
## C14orf93 4.653383e-03 6.707587e+02
## IFNGR1 4.692894e-03 -4.187867e+02
## KIAA1217 4.745294e-03 4.899342e+02
## AGA 4.798765e-03 4.431114e+02
## ATXN7L3 4.828811e-03 6.004776e+02
## OTUD5 4.830694e-03 9.753302e+02
## PPIF 4.866704e-03 -7.206166e+02
## GPKOW 4.875907e-03 -7.029424e+02
## PFN2 4.919913e-03 -2.408257e+02
## NUCB1 4.943620e-03 6.085763e+02
## ZP2 4.960817e-03 -3.344114e+02
## ODC1 5.008577e-03 -2.529391e+02
## PMP22 5.040901e-03 2.896792e+02
## MSR1 5.048488e-03 -4.493237e+02
## TBC1D13 5.049190e-03 6.190614e+02
## GCA 5.064809e-03 -4.091484e+02
## DOPEY1 5.096738e-03 7.920990e+02
## MATK 5.153008e-03 -3.199387e+02
## ECE1 5.154876e-03 -9.214806e+02
## RCVRN 5.155054e-03 1.180483e+03
## SNX10 5.175125e-03 -3.553722e+02
## CNNM1 5.184061e-03 -8.128468e+02
## ACOT8 5.185558e-03 -6.907689e+02
## NUP37 5.197577e-03 -4.706183e+02
## SIRT2 5.238028e-03 -8.462050e+02
## KDELR3 5.274874e-03 -2.743368e+02
## USP31 5.305314e-03 -1.358525e+03
## SEC61A2 5.320241e-03 -5.036839e+02
## SLC7A2 5.356817e-03 1.168981e+02
## RAB7L1 5.377525e-03 -3.827757e+02
## PABPC1 5.389906e-03 -3.322965e+02
## RAB11FIP2 5.417619e-03 6.781942e+02
## BBS2 5.419013e-03 4.740471e+02
## FAS 5.423698e-03 -9.084162e+02
## KIF9 5.428628e-03 1.506046e+03
## TNFRSF10B 5.428890e-03 4.435992e+02
## METTL1 5.438210e-03 -5.734228e+02
## LIAS 5.479945e-03 6.044518e+02
## SERPINA4 5.548240e-03 -1.261901e+03
## AVPI1 5.552696e-03 4.680769e+02
## CRLS1 5.559396e-03 -4.863924e+02
## NCF4 5.615565e-03 -4.674079e+02
## ZNF410 5.622998e-03 6.466932e+02
## SMARCD2 5.635680e-03 -3.553723e+02
## CAPZA1 5.724369e-03 -5.327795e+02
## MDM1 5.726507e-03 9.127862e+02
## ODAM 5.742786e-03 -2.910625e+02
## MAP2 5.760271e-03 -5.562963e+02
## FAM149A 5.862472e-03 5.270205e+02
## SIM1 5.879446e-03 -1.690421e+03
## PGM1 5.879873e-03 -3.185682e+02
## RHOBTB2 5.917899e-03 8.433090e+02
## ICAM5 5.957267e-03 -1.306506e+03
## DBH 6.000679e-03 -1.098591e+03
## MYOM2 6.016289e-03 3.713490e+02
## CUL1 6.027837e-03 -6.563095e+02
## GNA11 6.103195e-03 4.115986e+02
## GSPT1 6.113750e-03 -5.258202e+02
## PGM3 6.166795e-03 -4.171784e+02
## MYO9A 6.171849e-03 4.698928e+02
## AMELY 6.176240e-03 1.568835e+03
## TMEM54 6.206107e-03 -3.799326e+02
## BAIAP3 6.224009e-03 7.535206e+02
## TAF2 6.227693e-03 -4.492426e+02
## WNT1 6.239047e-03 1.584522e+03
## DNAJA2 6.306121e-03 -5.034390e+02
## TLE2 6.312810e-03 3.311379e+02
## PTK7 6.320076e-03 -3.549821e+02
## SRRD 6.348166e-03 -6.171508e+02
## TRIT1 6.433391e-03 -5.408183e+02
## PHF3 6.472624e-03 5.280272e+02
## TNFRSF9 6.550095e-03 -7.417199e+02
## TSPAN9 6.554064e-03 3.830864e+02
## NCOA3 6.594298e-03 -4.952907e+02
## PADI2 6.629166e-03 -1.095006e+03
## LZTR1 6.677390e-03 4.888970e+02
## RASAL2 6.683069e-03 -6.548709e+02
## PTGES3 6.688057e-03 -2.596243e+02
## NKAP 6.694906e-03 -8.828928e+02
## MAP2K6 6.752130e-03 -7.445941e+02
## SLC11A1 6.756474e-03 -3.596780e+02
## DDHD2 6.882982e-03 -2.617565e+02
## STK10 6.884074e-03 -6.587771e+02
## OAS2 6.886600e-03 -1.952331e+02
## DNAJA1 6.972967e-03 -4.342572e+02
## WDR34 6.976102e-03 -3.878564e+02
## SIDT1 6.981405e-03 3.199990e+02
## SUSD1 6.990670e-03 -5.847605e+02
## MED13 6.995388e-03 -1.252366e+03
## IBSP 7.027244e-03 -8.407174e+02
## AQP6 7.071082e-03 -9.736814e+02
## SH2D4A 7.091789e-03 3.310240e+02
## COX15 7.093354e-03 5.778044e+02
## DGAT2 7.150411e-03 -4.737633e+02
## TLR8 7.154592e-03 -4.249125e+02
## WIPF3 7.157822e-03 -1.039397e+03
## ZNF268 7.164152e-03 -1.102805e+03
## PRLR 7.176642e-03 2.967044e+02
## SF3B1 7.223341e-03 6.679240e+02
## CCL26 7.270366e-03 -9.655485e+02
## DDX50 7.320395e-03 -6.769806e+02
## CAMTA2 7.325926e-03 9.833209e+02
## ACAT2 7.331634e-03 -3.413040e+02
## PTPN23 7.397440e-03 6.952837e+02
## TAF1B 7.524633e-03 -6.817665e+02
## AHR 7.545162e-03 3.689541e+02
## TRMT6 7.550885e-03 -8.606672e+02
## CDKL3 7.577368e-03 5.799154e+02
## VAMP4 7.599227e-03 6.785530e+02
## RPAP3 7.619164e-03 -5.241381e+02
## COG4 7.646401e-03 -5.686567e+02
## ABHD11 7.675241e-03 -2.982945e+02
## CCDC18 7.752289e-03 -7.811355e+02
## TMPO 7.791155e-03 -4.762356e+02
## CECR5 7.808512e-03 -4.044551e+02
## SCT 7.820568e-03 -1.108106e+03
## CPNE6 7.836544e-03 -1.594635e+03
## SFPQ 7.862740e-03 -7.854912e+02
## MICALL1 7.939574e-03 -4.232130e+02
## PLAU 7.940583e-03 -2.156418e+02
## PHF19 7.944224e-03 -5.672867e+02
## ZNF280C 7.968024e-03 -8.175291e+02
## TBC1D23 8.005220e-03 -5.745799e+02
## RAB3GAP1 8.015070e-03 4.972634e+02
## CXCL2 8.018980e-03 -5.785374e+02
## SLCO4A1 8.023270e-03 -7.307956e+02
## RAMP3 8.044990e-03 2.522361e+02
## SUB1 8.049888e-03 2.507463e+02
## MTMR1 8.074786e-03 -1.203077e+03
## ARHGDIB 8.236049e-03 3.469937e+02
## LASP1 8.243173e-03 2.694039e+02
## PGRMC1 8.265945e-03 -3.887326e+02
## DHPS 8.267836e-03 5.033187e+02
## NCAPH 8.304183e-03 -8.757429e+02
## C1GALT1 8.325308e-03 -5.053975e+02
## SOS2 8.398746e-03 7.814941e+02
## FNDC4 8.431306e-03 -5.756398e+02
## OCM 8.482135e-03 1.474717e+03
## TTC27 8.526118e-03 -6.158342e+02
## CP 8.532097e-03 -2.285301e+02
## GHRH 8.547799e-03 9.764631e+02
## VNN2 8.555504e-03 -3.907802e+02
## SLC9A2 8.557667e-03 -3.402338e+02
## CREM 8.607127e-03 1.333661e+03
## MCCC1 8.622117e-03 -3.383443e+02
## UBE2I 8.635043e-03 -4.876951e+02
## ONECUT2 8.645457e-03 -5.233817e+02
## MRPS27 8.695135e-03 5.196029e+02
## MAK 8.717666e-03 6.939597e+02
## ASCC3 8.718540e-03 -3.873773e+02
## MRPL51 8.729790e-03 -4.058369e+02
## RECQL5 8.763293e-03 5.074334e+02
## MRPS24 8.842836e-03 -5.312810e+02
## FOSL2 8.947309e-03 -1.051155e+03
## SCN1B 8.954651e-03 5.195053e+02
## CCDC77 9.002490e-03 -3.928774e+02
## ACTR6 9.021326e-03 -4.428249e+02
## PHACTR2 9.029861e-03 -3.599583e+02
## SOAT1 9.036574e-03 -6.988814e+02
## PLOD1 9.057807e-03 -3.483462e+02
## SCIN 9.081404e-03 2.594944e+02
## BMPR1A 9.178457e-03 -5.348029e+02
## TXNDC9 9.229490e-03 -4.091616e+02
## ID3 9.252876e-03 -2.545475e+02
## MAPKAPK3 9.451797e-03 4.322897e+02
## MRPL2 9.470004e-03 -4.313252e+02
## CLIP4 9.505280e-03 -4.635496e+02
## TEKT2 9.522007e-03 8.883484e+02
## SLC4A8 9.523024e-03 2.335150e+02
## GPAM 9.531834e-03 3.800454e+02
## VEGFA 9.569509e-03 -2.863778e+02
## ITGB6 9.604651e-03 -5.564063e+02
## IL5 9.604834e-03 -1.813381e+03
## BTN2A1 9.614896e-03 -5.613195e+02
## ATP5B 9.683639e-03 -5.390685e+02
## PTPLAD1 9.705646e-03 3.546376e+02
## MGRN1 9.713299e-03 4.795653e+02
## SNX29 9.748880e-03 6.310703e+02
## TWISTNB 9.769927e-03 -5.831505e+02
## DHX32 9.775074e-03 4.367234e+02
## HMOX1 9.791999e-03 -3.237712e+02
## HSPA8 9.794434e-03 -2.895435e+02
## RAI1 9.822477e-03 4.121631e+02
## REV3L 9.823728e-03 8.274304e+02
## EIF2AK2 9.824368e-03 -3.218209e+02
## UPK2 9.836378e-03 -1.399277e+03
## RNF14 9.862761e-03 4.878376e+02
## TMEM176A 9.880326e-03 -2.774028e+02
## AIM1 9.946276e-03 -5.383593e+02
## GABRG2 9.948932e-03 7.869833e+02
## CCL18 9.961958e-03 -5.244754e+02
## NUDCD1 9.969337e-03 -7.953987e+02
## PSMB1 1.003069e-02 -5.368253e+02
## SYNJ2 1.003214e-02 5.657492e+02
## MTMR11 1.003324e-02 2.900794e+02
## CALD1 1.005194e-02 -2.841615e+02
## KIF3C 1.007677e-02 -5.615167e+02
## PANX2 1.007976e-02 -2.462180e+02
## CCDC80 1.010251e-02 -3.765608e+02
## LPCAT2 1.011849e-02 -5.000719e+02
## DBP 1.012664e-02 4.701845e+02
## SOS1 1.022317e-02 -6.361889e+02
## AHSA1 1.023641e-02 -4.321821e+02
## ABCD1 1.024433e-02 -3.524158e+02
## FNBP4 1.025510e-02 4.721356e+02
## GTDC1 1.026856e-02 -7.742135e+02
## UBA6 1.032063e-02 -4.067627e+02
## ATP6V1D 1.036798e-02 4.935438e+02
## NUP88 1.039974e-02 -4.502056e+02
## SPECC1L 1.040748e-02 4.910450e+02
## ZNF207 1.042859e-02 -7.700927e+02
## KIAA2013 1.044536e-02 -5.270646e+02
## RBBP8 1.045502e-02 2.430077e+02
## MANSC1 1.048054e-02 3.699327e+02
## LTBP4 1.049921e-02 4.245166e+02
## IQSEC2 1.053042e-02 4.896092e+02
## WFDC3 1.055593e-02 -4.199291e+02
## LPHN2 1.055842e-02 -3.655033e+02
## SLC16A6 1.057198e-02 2.644046e+02
## SPTBN1 1.059181e-02 3.580489e+02
## PHC1 1.060216e-02 6.274802e+02
## CAD 1.062447e-02 -5.450654e+02
## TREH 1.067012e-02 -1.373334e+03
## RBMS2 1.067976e-02 -5.863135e+02
## LGALS2 1.072220e-02 -5.957258e+02
## UTP18 1.078241e-02 -3.952222e+02
## OSBP 1.081540e-02 5.443488e+02
## NCOA5 1.086035e-02 5.632038e+02
## RIMS1 1.087169e-02 9.848221e+02
## CAPN3 1.093418e-02 4.369198e+02
## ENO2 1.103453e-02 2.176993e+02
## ZMIZ2 1.109088e-02 -3.851599e+02
## SYNGR1 1.113050e-02 3.011353e+02
## RNF126 1.119218e-02 -5.232404e+02
## DOT1L 1.121085e-02 -1.075877e+03
## CYB5R3 1.125758e-02 -4.611610e+02
## GSR 1.128503e-02 -2.941629e+02
## LTBR 1.132474e-02 -3.865440e+02
## AKT3 1.132597e-02 -1.283285e+03
## AP1M1 1.133909e-02 -5.167796e+02
## SOX10 1.135833e-02 -1.734740e+02
## PIGU 1.138574e-02 -4.712515e+02
## C19orf10 1.140179e-02 -3.341883e+02
## SPAG6 1.141810e-02 2.012295e+02
## OSBPL3 1.143938e-02 -4.564884e+02
## PSMA6 1.148638e-02 -4.735060e+02
## SLC5A1 1.149863e-02 -2.070267e+02
## GLG1 1.151206e-02 -4.664659e+02
## GSTO2 1.153503e-02 1.712500e+02
## AKAP1 1.159703e-02 -4.160143e+02
## PSMC4 1.160178e-02 -3.127174e+02
## CD80 1.164437e-02 -8.751288e+02
## DHX58 1.166749e-02 3.705714e+02
## RND2 1.169980e-02 2.996523e+02
## CAPRIN2 1.172263e-02 6.037423e+02
## SLC25A1 1.179242e-02 -3.249103e+02
## LRP5L 1.180979e-02 3.927431e+02
## EED 1.188637e-02 -6.030697e+02
## ZNF706 1.190947e-02 3.772307e+02
## IL18RAP 1.198734e-02 -4.692085e+02
## NCALD 1.198892e-02 -1.943781e+02
## ETV7 1.203079e-02 -6.675264e+02
## LIPG 1.203855e-02 -3.756657e+02
## ARNTL2 1.205569e-02 -1.286607e+03
## JMJD6 1.208769e-02 -5.933967e+02
## SLC6A16 1.209155e-02 -4.079954e+02
## FOXP1 1.212018e-02 6.534489e+02
## MAMLD1 1.212163e-02 -4.467688e+02
## TSFM 1.215478e-02 -5.180243e+02
## RBBP5 1.219943e-02 -4.392478e+02
## N4BP1 1.220578e-02 4.430254e+02
## TMEM38B 1.226083e-02 -3.140455e+02
## WNT5A 1.228047e-02 2.795968e+02
## IL11 1.228199e-02 -1.135897e+03
## CST4 1.234793e-02 2.906820e+02
## CTGF 1.236339e-02 -2.105792e+02
## CCDC134 1.250111e-02 -8.187270e+02
## PDE4D 1.255059e-02 4.913653e+02
## C19orf43 1.255114e-02 -3.912762e+02
## CACNG1 1.255851e-02 3.134996e+02
## PILRA 1.257387e-02 -4.023403e+02
## MANBA 1.260912e-02 3.646819e+02
## SEMA6A 1.261504e-02 2.325835e+02
## AHCY 1.273282e-02 -2.460921e+02
## PLAT 1.273837e-02 1.443950e+02
## TAF1L 1.276570e-02 6.957246e+02
## HAGH 1.287412e-02 3.517621e+02
## ALDH2 1.291143e-02 2.558835e+02
## SLC29A1 1.293739e-02 3.191680e+02
## ARL2BP 1.297374e-02 -4.664251e+02
## ARPC3 1.297483e-02 -2.989227e+02
## GPC4 1.302901e-02 1.916800e+02
## RBM7 1.305065e-02 -4.712510e+02
## CRYZ 1.306489e-02 2.802623e+02
## NSF 1.309861e-02 4.439511e+02
## COTL1 1.312012e-02 -8.182600e+02
## GTF2IRD1 1.312861e-02 -4.675100e+02
## NDRG4 1.326384e-02 -2.846841e+02
## RBL1 1.334961e-02 -7.885318e+02
## PTPRU 1.336601e-02 -4.408291e+02
## PPP1R13B 1.337151e-02 3.607844e+02
## LHX3 1.338376e-02 9.447569e+02
## PDE6C 1.340606e-02 -1.609278e+03
## DDX11 1.341474e-02 -4.088909e+02
## SEMA3F 1.341496e-02 2.892961e+02
## AKAP10 1.341937e-02 5.583888e+02
## ZNF213 1.342938e-02 4.305561e+02
## CD200 1.346665e-02 -1.161529e+03
## MANBAL 1.346902e-02 5.067296e+02
## UPK1A 1.351043e-02 -1.930280e+02
## SPCS1 1.354910e-02 3.261720e+02
## ZNF430 1.366621e-02 3.515713e+02
## KRT23 1.374888e-02 -1.987019e+02
## TAZ 1.375153e-02 5.424303e+02
## RAB5C 1.376180e-02 3.971628e+02
## RAB36 1.377343e-02 3.711527e+02
## C19orf26 1.377636e-02 -8.163012e+02
## HAGHL 1.379974e-02 2.734069e+02
## TNFSF8 1.393087e-02 -9.404470e+02
## HSD17B6 1.393836e-02 -2.835424e+02
## FUS 1.394498e-02 5.003159e+02
## GPR63 1.416765e-02 -8.598597e+02
## BAD 1.419712e-02 4.800859e+02
## UNC13D 1.425024e-02 -4.321337e+02
## PAX6 1.428499e-02 -4.014694e+02
## STAMBP 1.429447e-02 -5.750453e+02
## LRP1 1.435682e-02 5.347778e+02
## ACSBG1 1.445477e-02 -5.850537e+02
## ENPP4 1.445659e-02 3.160682e+02
## IL13RA2 1.456870e-02 -7.746354e+02
## XPNPEP1 1.459367e-02 -4.791851e+02
## BBS9 1.471019e-02 5.943956e+02
## ATP5D 1.480115e-02 4.306015e+02
## WSCD2 1.481075e-02 -1.116481e+03
## RASGRF1 1.481742e-02 -1.116274e+03
## SPIN1 1.486310e-02 4.181609e+02
## OLFML3 1.498195e-02 2.649127e+02
## NEK4 1.499060e-02 1.052965e+03
## MGAT4A 1.500773e-02 -2.822338e+02
## RPAP2 1.510503e-02 5.027643e+02
## ANGPTL1 1.519106e-02 1.309091e+03
## B4GALT2 1.523676e-02 -7.328586e+02
## RPS6KA5 1.530825e-02 3.270059e+02
## MRPS2 1.531329e-02 -4.841826e+02
## BCL6 1.532626e-02 3.177897e+02
## SPAG7 1.540556e-02 5.302862e+02
## KLHDC4 1.547860e-02 -4.011983e+02
## ZBTB16 1.550313e-02 2.035504e+02
## USP35 1.551142e-02 3.010589e+02
## OSBPL8 1.558888e-02 2.876881e+02
## XRCC1 1.563631e-02 5.630864e+02
## IKZF5 1.573548e-02 6.015892e+02
## AAAS 1.574542e-02 8.786161e+02
## NFATC3 1.574788e-02 -7.463714e+02
## TBCE 1.577895e-02 -4.247250e+02
## HDAC5 1.586126e-02 8.590421e+02
## PDCD2 1.597064e-02 -4.230732e+02
## UXS1 1.601452e-02 -6.590822e+02
## RNH1 1.601805e-02 5.933238e+02
## COPZ1 1.604475e-02 3.807627e+02
## CBX5 1.617494e-02 -4.779822e+02
## DLD 1.621055e-02 -3.364162e+02
## IL7 1.628539e-02 -6.692923e+02
## CHST3 1.638197e-02 -2.920231e+02
## TMEM104 1.641599e-02 -6.689508e+02
## IDI1 1.642378e-02 -3.522899e+02
## TEAD3 1.645548e-02 -8.517043e+02
## IFNG 1.645907e-02 -4.545833e+02
## SCGB2A2 1.659243e-02 5.938407e+01
## RPS19 1.661345e-02 -4.585553e+02
## GMPR2 1.664666e-02 3.733781e+02
## NLN 1.669312e-02 -6.215095e+02
## JMJD4 1.683444e-02 -3.989036e+02
## EPS15 1.691339e-02 5.949689e+02
## WIPF1 1.696609e-02 -5.276848e+02
## ATP2C1 1.696833e-02 -4.146912e+02
## ARL6 1.697736e-02 -1.517574e+03
## HOXA3 1.703758e-02 7.486856e+02
## HEPH 1.704725e-02 -3.676764e+02
## CLSPN 1.705805e-02 -1.085437e+03
## TCL1A 1.710615e-02 -3.866960e+02
## ACVR1 1.710706e-02 -4.097856e+02
## PPP2R4 1.711094e-02 4.470910e+02
## MAGI3 1.717275e-02 -1.164889e+03
## PHF12 1.717774e-02 3.716773e+02
## PRPF4B 1.722501e-02 5.491671e+02
## PLEKHB2 1.724053e-02 -3.274879e+02
## PTPN6 1.731972e-02 3.892887e+02
## SSX2IP 1.736177e-02 7.048014e+02
## CEP72 1.736636e-02 -9.410185e+02
## MAP3K9 1.740600e-02 6.994383e+02
## PEPD 1.741647e-02 -4.029895e+02
## ATF1 1.747586e-02 -6.425751e+02
## NAV3 1.752104e-02 3.249246e+02
## COL5A3 1.759998e-02 4.535775e+02
## SLC15A3 1.769712e-02 -2.844586e+02
## PPP1R9B 1.790180e-02 -1.008313e+03
## PUS7 1.790503e-02 -3.455974e+02
## RORA 1.795820e-02 5.920464e+02
## EIF3E 1.797022e-02 -3.255371e+02
## WISP3 1.798325e-02 -3.470012e+02
## DKKL1 1.798787e-02 -8.207846e+02
## MRPL43 1.804469e-02 4.427306e+02
## EXOSC8 1.805429e-02 -4.697502e+02
## PTPN4 1.808826e-02 -4.997973e+02
## SPOCK2 1.810921e-02 -1.633654e+02
## ARSA 1.812450e-02 4.238453e+02
## TNFSF4 1.814764e-02 -3.118701e+02
## ABTB1 1.823588e-02 4.178325e+02
## TFIP11 1.829765e-02 5.307641e+02
## USP34 1.831244e-02 5.682041e+02
## ZNF275 1.837675e-02 3.888070e+02
## CRTC1 1.840950e-02 5.806270e+02
## VRK3 1.842546e-02 3.618653e+02
## IL21R 1.855876e-02 -3.899697e+02
## SUSD2 1.861915e-02 -1.377287e+02
## TAS2R9 1.863247e-02 -1.480698e+03
## IKZF4 1.865879e-02 7.465632e+02
## SULT2B1 1.870633e-02 -3.384909e+02
## TBX4 1.881347e-02 -1.259289e+03
## RASIP1 1.884711e-02 -2.496389e+02
## HS3ST2 1.888850e-02 -3.464758e+02
## TOX4 1.899522e-02 7.190261e+02
## AKR1D1 1.903520e-02 3.334396e+02
## KRT18 1.907574e-02 -5.036761e+02
## ZNF200 1.909152e-02 -5.471071e+02
## NEK6 1.910303e-02 -3.600739e+02
## LILRB5 1.911905e-02 -2.979231e+02
## KAL1 1.922689e-02 2.780033e+02
## CRISP3 1.923193e-02 -3.763845e+02
## ZNF684 1.931420e-02 7.115730e+02
## KBTBD4 1.936692e-02 4.829287e+02
## CCKBR 1.964464e-02 -4.292215e+02
## KLF3 1.978943e-02 -1.186738e+03
## RABGAP1 1.979650e-02 3.631629e+02
## QSER1 1.983919e-02 -7.836698e+02
## ANKRD13A 1.988527e-02 -5.003362e+02
## MAP4K4 1.992446e-02 -4.325641e+02
## GOLGA5 1.992755e-02 4.573432e+02
## NFYB 1.993701e-02 8.318224e+02
## ATF6 2.001698e-02 -3.903082e+02
## SCML2 2.002704e-02 -1.018880e+03
## ATF2 2.010441e-02 -6.146911e+02
## TLE4 2.012194e-02 -3.498827e+02
## GCDH 2.015205e-02 4.381682e+02
## MTMR2 2.015645e-02 -5.217387e+02
## ATP11B 2.023069e-02 -3.803285e+02
## PRKAR1A 2.024894e-02 3.066786e+02
## GTPBP1 2.025200e-02 -1.220279e+03
## TMEM176B 2.025747e-02 -3.956057e+02
## HOXC13 2.035285e-02 -2.068917e+02
## LPXN 2.058365e-02 -2.661124e+02
## TRIM25 2.073063e-02 4.358736e+02
## PAX2 2.077332e-02 8.204245e+02
## THUMPD1 2.078370e-02 3.843359e+02
## SH3PXD2A 2.098173e-02 2.605926e+02
## TSPAN15 2.115357e-02 2.552257e+02
## MAST4 2.120307e-02 2.835452e+02
## LRRC42 2.122180e-02 -3.781558e+02
## YPEL1 2.127100e-02 5.393458e+02
## EZH1 2.129958e-02 1.109349e+03
## SGCA 2.133721e-02 1.051609e+03
## ALDH3A1 2.135214e-02 -8.934285e+02
## GLA 2.141905e-02 2.311856e+02
## CREB1 2.150956e-02 2.792142e+02
## SALL4 2.151192e-02 2.520742e+02
## HOXB1 2.152066e-02 -1.023835e+03
## FGFR3 2.159685e-02 1.298854e+02
## GLI2 2.164824e-02 7.657027e+02
## EPB41L2 2.180750e-02 -3.369695e+02
## R3HCC1 2.181243e-02 4.295074e+02
## PDE4C 2.182235e-02 2.946151e+02
## FA2H 2.184599e-02 -4.774600e+02
## PLEKHO1 2.204289e-02 -3.819504e+02
## HS3ST1 2.207832e-02 -5.230540e+02
## ELF1 2.207995e-02 3.953957e+02
## MOSPD1 2.216585e-02 -9.552354e+02
## ANXA11 2.220019e-02 3.653819e+02
## MLH1 2.225195e-02 4.381243e+02
## CDC7 2.225789e-02 -4.297192e+02
## PAPOLG 2.234919e-02 1.114103e+03
## MPG 2.237084e-02 1.289271e+03
## C20orf26 2.238635e-02 6.292463e+02
## COL4A4 2.251985e-02 -9.845467e+02
## DSE 2.274283e-02 -2.934947e+02
## SART3 2.291400e-02 -8.210242e+02
## RAI14 2.294492e-02 -2.982055e+02
## ZNF644 2.304990e-02 -4.691185e+02
## SEMA5A 2.331139e-02 5.130378e+02
## FAM45A 2.332713e-02 -3.900645e+02
## SMAP2 2.334201e-02 3.308656e+02
## KIAA1549 2.335154e-02 -9.103159e+02
## ARHGEF10 2.353006e-02 2.941116e+02
## KLHL31 2.363763e-02 -9.431248e+02
## FYTTD1 2.372969e-02 -3.374968e+02
## CARS 2.374969e-02 -3.158954e+02
## CHD6 2.375999e-02 5.571249e+02
## PPIE 2.378102e-02 -3.999240e+02
## ICAM3 2.378932e-02 3.526184e+02
## PCDHB10 2.384780e-02 -6.259320e+02
## MMP19 2.384933e-02 -1.199891e+03
## SPAST 2.388158e-02 -6.001571e+02
## HSD11B1 2.388463e-02 -3.934418e+02
## IFT74 2.391452e-02 3.432909e+02
## MON1B 2.392485e-02 -4.937199e+02
## ATRN 2.399167e-02 4.607737e+02
## WDR48 2.400496e-02 4.277306e+02
## CXCL6 2.402808e-02 -7.323476e+02
## HOXB8 2.409002e-02 2.244275e+02
## RALGPS2 2.412277e-02 3.776903e+02
## MTMR3 2.414550e-02 4.584243e+02
## STAB1 2.414683e-02 3.130805e+02
## KPNA1 2.423506e-02 -4.772916e+02
## PPP2R1A 2.432320e-02 4.021811e+02
## SLC38A5 2.435474e-02 -7.090656e+02
## GBA2 2.442163e-02 5.258243e+02
## EXOC1 2.451526e-02 5.223506e+02
## SLC22A17 2.453930e-02 2.016677e+02
## CD276 2.468821e-02 -3.279410e+02
## PRDM13 2.480825e-02 -1.056613e+03
## HAND1 2.491754e-02 -7.540967e+02
## DNPEP 2.496931e-02 -4.789908e+02
## ZNF263 2.498898e-02 4.520997e+02
## CSF3 2.502753e-02 -1.450277e+03
## ZNF549 2.508411e-02 2.868872e+02
## RASSF4 2.512951e-02 -3.522747e+02
## SMARCB1 2.514664e-02 -4.252929e+02
## ALKBH5 2.519960e-02 4.709140e+02
## DMXL2 2.522591e-02 5.463348e+02
## DGKH 2.526675e-02 -9.892484e+02
## CDK2 2.532514e-02 -4.196493e+02
## COL23A1 2.537005e-02 -8.274247e+02
## SEZ6L 2.541684e-02 5.240744e+02
## POLRMT 2.545724e-02 3.988229e+02
## JAG1 2.553933e-02 3.100334e+02
## ATG16L1 2.561450e-02 3.686653e+02
## STAG3 2.568672e-02 -6.957814e+02
## COBLL1 2.571310e-02 2.658843e+02
## SDC1 2.579527e-02 -1.788152e+02
## RAE1 2.592125e-02 -3.966377e+02
## IFT57 2.592753e-02 4.913630e+02
## IL2RB 2.604119e-02 -2.042093e+02
## AGXT2 2.621551e-02 9.032837e+02
## RCN1 2.621769e-02 -2.555555e+02
## PCGF2 2.631801e-02 2.036785e+02
## EEA1 2.633287e-02 -8.032397e+02
## TIMM13 2.653919e-02 -6.415895e+02
## ATPAF1 2.660603e-02 4.052170e+02
## GHRHR 2.661106e-02 -1.330316e+03
## COL9A2 2.661645e-02 1.734604e+02
## EPDR1 2.663222e-02 -2.248948e+02
## LRRC29 2.674178e-02 5.694049e+02
## MSLN 2.688132e-02 -1.110549e+02
## TNFAIP6 2.689712e-02 -2.323727e+02
## TRAF4 2.689916e-02 -3.594329e+02
## NCDN 2.692735e-02 4.250138e+02
## SLC6A14 2.695547e-02 -6.117403e+02
## HOXA1 2.696802e-02 1.337404e+03
## TRAPPC6A 2.700251e-02 3.938058e+02
## ACOX3 2.705113e-02 2.903950e+02
## SLC6A15 2.712996e-02 -5.016023e+02
## CD69 2.713896e-02 -2.035276e+02
## SLC39A7 2.714917e-02 -6.157465e+02
## GSTT2 2.716195e-02 2.552910e+02
## LIMA1 2.730433e-02 2.871837e+02
## SNRPA 2.734257e-02 -4.770905e+02
## TEX11 2.744301e-02 -8.859933e+02
## LAP3 2.745111e-02 -2.815082e+02
## MAD2L1BP 2.750843e-02 -4.097707e+02
## ARID4A 2.761767e-02 7.005301e+02
## CHD8 2.763313e-02 3.085350e+02
## SSR3 2.763730e-02 -6.919078e+02
## BTK 2.766081e-02 -5.094800e+02
## EFS 2.790088e-02 -2.173531e+02
## DTX2 2.795216e-02 -2.830336e+02
## GGCX 2.797673e-02 -4.178821e+02
## PPP2R5D 2.804316e-02 -4.364503e+02
## POFUT1 2.806628e-02 2.920416e+02
## PTN 2.807320e-02 2.437815e+02
## PARK7 2.819430e-02 5.119417e+02
## COMT 2.823687e-02 -2.646664e+02
## SNX19 2.824374e-02 5.939309e+02
## SAR1A 2.830805e-02 -3.072350e+02
## SLC26A4 2.837570e-02 -8.493406e+02
## RPS18 2.838450e-02 -3.461985e+02
## SYDE1 2.843612e-02 -3.847178e+02
## RNF8 2.852158e-02 -4.737222e+02
## SLC1A3 2.854354e-02 -2.576403e+02
## CDC6 2.870457e-02 -6.326954e+02
## DDX17 2.870576e-02 2.453449e+02
## PKD2L1 2.878073e-02 -4.210404e+02
## PAX4 2.879614e-02 -1.413086e+03
## USP33 2.882057e-02 4.690740e+02
## PON2 2.888466e-02 3.041069e+02
## USP14 2.898940e-02 3.109098e+02
## PCYOX1 2.899416e-02 2.703600e+02
## MTPN 2.928115e-02 -3.992466e+02
## NUP133 2.930385e-02 3.672103e+02
## TYRP1 2.930490e-02 -4.535299e+02
## FSD1L 2.932821e-02 -9.040201e+02
## ECHDC1 2.938501e-02 -3.889545e+02
## SLC13A1 2.945554e-02 1.548025e+03
## ASTE1 2.951459e-02 5.651622e+02
## IL12RB1 2.952643e-02 -6.308346e+02
## TAPBP 2.963321e-02 3.197875e+02
## CCL17 2.965598e-02 -7.542417e+02
## SMC1A 2.969053e-02 5.348894e+02
## ASPA 2.973105e-02 7.211282e+02
## PLEKHA4 2.978186e-02 2.650097e+02
## RAB35 2.993605e-02 -5.921754e+02
## PPP2CA 3.007188e-02 5.099889e+02
## PVRL1 3.008484e-02 -4.854621e+02
## IL1R1 3.013978e-02 -5.204325e+02
## HSCB 3.016435e-02 3.564293e+02
## GPATCH2 3.024005e-02 2.494204e+02
## VAX2 3.025866e-02 -5.277390e+02
## RAB23 3.026329e-02 -2.865137e+02
## FGL1 3.032199e-02 -6.130529e+02
## FCF1 3.037299e-02 -6.757986e+02
## CYP2W1 3.048200e-02 -8.938281e+02
## IK 3.049488e-02 4.883131e+02
## CA14 3.054980e-02 6.716177e+02
## CCDC124 3.072900e-02 -5.069345e+02
## CA2 3.084783e-02 1.075297e+02
## OSBPL5 3.085650e-02 3.271187e+02
## SNX24 3.089880e-02 5.614189e+02
## VPS29 3.090678e-02 -3.695654e+02
## ZC3HAV1 3.097128e-02 3.762899e+02
## AKR1B1 3.102269e-02 -2.669874e+02
## SEC16B 3.109881e-02 -9.396228e+02
## M6PR 3.111217e-02 -3.739745e+02
## DAPK2 3.113272e-02 6.678993e+02
## CHD4 3.120054e-02 4.340380e+02
## GNA13 3.124845e-02 -3.655789e+02
## MTHFSD 3.130323e-02 -6.280665e+02
## USP22 3.133060e-02 3.519068e+02
## COMMD9 3.157480e-02 -4.538852e+02
## FKTN 3.159843e-02 2.970621e+02
## TBXA2R 3.169250e-02 -1.056854e+03
## YBX2 3.171281e-02 -2.408290e+02
## ZBP1 3.174980e-02 -3.938969e+02
## RBX1 3.177361e-02 -3.362899e+02
## CHKA 3.180578e-02 -2.600177e+02
## MATR3 3.183984e-02 4.598924e+02
## C1QTNF3 3.193616e-02 2.873656e+02
## XPO1 3.209441e-02 -5.232019e+02
## NIN 3.213703e-02 4.321168e+02
## TMEM38A 3.231135e-02 -7.068623e+02
## PIM2 3.235468e-02 -1.858761e+02
## RASL12 3.251973e-02 3.190119e+02
## ZNF629 3.253016e-02 4.419067e+02
## KAZALD1 3.255324e-02 2.095723e+02
## TRIM35 3.264120e-02 1.012429e+03
## ATN1 3.267778e-02 3.631147e+02
## PLD3 3.282049e-02 -3.963497e+02
## BCAS4 3.294799e-02 1.855270e+02
## BIRC6 3.321040e-02 5.815826e+02
## HBP1 3.322877e-02 4.840287e+02
## CHRNA4 3.333888e-02 1.274867e+03
## LHPP 3.338848e-02 3.332331e+02
## NDUFA8 3.342291e-02 -4.639350e+02
## RFX2 3.347965e-02 5.806163e+02
## ADORA3 3.352283e-02 -3.047043e+02
## CROCC 3.356322e-02 7.004652e+02
## FAHD2A 3.361099e-02 -5.997719e+02
## PLCG1 3.361198e-02 -4.239609e+02
## COBL 3.365589e-02 1.742736e+02
## TMEM147 3.394151e-02 -3.699924e+02
## GPR124 3.410721e-02 3.203374e+02
## PRKD3 3.411554e-02 -9.861063e+02
## C6 3.415291e-02 2.875673e+02
## EHBP1 3.421262e-02 -4.432239e+02
## LIG3 3.430813e-02 3.951755e+02
## LILRB1 3.434882e-02 2.878938e+02
## PNPLA6 3.437983e-02 4.249504e+02
## CBLN4 3.441570e-02 6.221706e+02
## CSMD2 3.442444e-02 -5.352135e+02
## CYB5R4 3.462772e-02 -4.130684e+02
## TP53I3 3.467122e-02 -3.180667e+02
## FTSJ1 3.472737e-02 -5.037122e+02
## MXI1 3.478428e-02 -6.332422e+02
## PTCD1 3.483678e-02 -4.184767e+02
## MMP9 3.488744e-02 -1.134574e+02
## KLHL12 3.495823e-02 3.723176e+02
## NOVA2 3.507102e-02 -9.570716e+02
## CIT 3.515240e-02 -1.364005e+03
## HSPB6 3.515782e-02 2.201394e+02
## NCAPH2 3.517146e-02 -4.558499e+02
## EBPL 3.522895e-02 -2.754464e+02
## C20orf194 3.526165e-02 6.605348e+02
## PHOX2B 3.538036e-02 -1.145969e+03
## PRDM2 3.539198e-02 7.682067e+02
## NPM3 3.548625e-02 -2.321314e+02
## RAB40AL 3.549144e-02 1.189150e+03
## CLCN7 3.562279e-02 3.428512e+02
## DUSP1 3.562909e-02 -1.292189e+02
## SLC9A7 3.563640e-02 -5.250026e+02
## SYPL1 3.567029e-02 2.537229e+02
## CDIPT 3.579334e-02 4.574112e+02
## RUNX3 3.585852e-02 -1.899768e+02
## MORN1 3.595056e-02 6.580229e+02
## AFP 3.598595e-02 2.148817e+02
## NOL12 3.605822e-02 4.013016e+02
## PMFBP1 3.608907e-02 -1.098915e+03
## WNT3 3.627806e-02 2.913243e+02
## PPP2R5B 3.631380e-02 -5.271486e+02
## FCGR2B 3.635572e-02 -3.828248e+02
## NUFIP2 3.665221e-02 -3.310720e+02
## AUP1 3.671144e-02 -4.463470e+02
## EDEM3 3.680027e-02 3.456316e+02
## DMPK 3.680943e-02 5.153376e+02
## ARHGAP6 3.689102e-02 -1.915164e+03
## CTSA 3.689551e-02 -3.773106e+02
## SYT1 3.699870e-02 1.779826e+02
## CUTC 3.701378e-02 -4.587028e+02
## TFG 3.715491e-02 -3.047082e+02
## KIF17 3.726809e-02 9.855928e+02
## CYP26A1 3.728382e-02 2.354168e+02
## CD40 3.729154e-02 -3.671320e+02
## NUMBL 3.750442e-02 -7.218073e+02
## MADCAM1 3.760384e-02 1.535700e+03
## PPP1R15A 3.771318e-02 -3.062208e+02
## FAM21A 3.778300e-02 7.112494e+02
## TARDBP 3.780340e-02 5.260753e+02
## CCNJ 3.793083e-02 -8.924604e+02
## EYA4 3.795751e-02 1.165335e+03
## ADCY7 3.805314e-02 -6.448230e+02
## RNF167 3.844191e-02 3.849738e+02
## TJP3 3.866848e-02 1.840399e+02
## ISOC2 3.867225e-02 -3.099878e+02
## UGT2B10 3.869104e-02 2.009029e+02
## C3orf52 3.891878e-02 2.213009e+02
## EGR2 3.892059e-02 -1.897122e+02
## MLH3 3.893359e-02 -1.016811e+03
## ING3 3.894410e-02 -5.568602e+02
## BLZF1 3.895171e-02 2.358759e+02
## ADAT1 3.923307e-02 -4.064940e+02
## DEPDC5 3.933383e-02 7.067451e+02
## RAB7A 3.941195e-02 5.352129e+02
## AQR 3.954784e-02 4.464835e+02
## METAP2 3.957487e-02 -4.297499e+02
## FAM46A 3.974111e-02 2.081166e+02
## TMED2 3.976782e-02 -3.265372e+02
## HYAL4 3.978872e-02 -9.882510e+02
## CCDC109B 3.982296e-02 -2.531863e+02
## PITRM1 3.984188e-02 -3.450409e+02
## KMO 3.997186e-02 -2.253503e+02
## FCGRT 4.005055e-02 2.223486e+02
## CAPS 4.005403e-02 -1.570859e+02
## UHRF1BP1L 4.021231e-02 6.240966e+02
## SLC41A3 4.035001e-02 -3.743639e+02
## EFCAB1 4.041394e-02 8.229302e+02
## FOLH1 4.046731e-02 -8.105968e+02
## TRIM9 4.049228e-02 2.513873e+02
## DLG3 4.052665e-02 -4.307589e+02
## FUZ 4.069883e-02 6.154909e+02
## SIGLEC6 4.088715e-02 9.136605e+02
## MLLT10 4.090364e-02 -4.252643e+02
## IVNS1ABP 4.102524e-02 -3.907473e+02
## RUFY3 4.102734e-02 4.559402e+02
## AFTPH 4.106518e-02 4.451698e+02
## FGF23 4.122810e-02 9.457652e+02
## NEDD4 4.124842e-02 4.821908e+02
## MT3 4.139295e-02 -3.504134e+02
## FMO2 4.140213e-02 -1.981903e+02
## PBLD 4.142122e-02 6.892362e+02
## HCK 4.163233e-02 -2.959449e+02
## BIN2 4.166271e-02 -1.086952e+03
## GRIN3B 4.172178e-02 -1.004933e+03
## CSK 4.178238e-02 -3.819541e+02
## MTR 4.182862e-02 -5.204379e+02
## PRSS16 4.190246e-02 2.777158e+02
## PPP1R7 4.202293e-02 5.008415e+02
## CCDC9 4.211896e-02 8.337641e+02
## CLIC5 4.217818e-02 4.497900e+02
## IL27RA 4.221900e-02 -1.982506e+02
## TRPA1 4.224768e-02 5.561755e+02
## SDC4 4.235801e-02 2.228521e+02
## C14orf105 4.237568e-02 -1.336354e+03
## CNOT4 4.243606e-02 4.648631e+02
## RNF13 4.256566e-02 -3.425194e+02
## GNAI2 4.290229e-02 4.058617e+02
## PDGFRB 4.293886e-02 2.322586e+02
## NUDCD3 4.301833e-02 4.397955e+02
## VSIG2 4.310525e-02 2.307020e+02
## RRP9 4.314254e-02 -6.592189e+02
## UAP1 4.327451e-02 -2.723480e+02
## PTPRC 4.339691e-02 -4.221782e+02
## PIK3IP1 4.381364e-02 2.923346e+02
## PPP2R2C 4.381861e-02 -1.548039e+02
## SEH1L 4.397843e-02 -3.861816e+02
## NUP160 4.405733e-02 -3.924575e+02
## LIMK1 4.407544e-02 -5.058712e+02
## GSTP1 4.414435e-02 -1.365024e+02
## DERA 4.416785e-02 -3.515113e+02
## KHSRP 4.419402e-02 -3.531462e+02
## SMC1B 4.426252e-02 -6.873093e+02
## PRICKLE3 4.430586e-02 -7.892707e+02
## ARHGEF7 4.467261e-02 3.645930e+02
## PDCD7 4.471123e-02 3.521122e+02
## LIPE 4.482289e-02 4.190988e+02
## LAMA3 4.482546e-02 2.012805e+02
## RAB18 4.507202e-02 3.809470e+02
## CAMK1G 4.507937e-02 -1.867998e+02
## TGFBI 4.508622e-02 -2.045419e+02
## CXorf21 4.535465e-02 -1.035361e+03
## PLA2G2D 4.548956e-02 2.904304e+02
## CTSZ 4.592201e-02 -2.650663e+02
## WDR1 4.617250e-02 4.326933e+02
## SS18L2 4.620617e-02 4.426034e+02
## COQ5 4.647971e-02 3.540111e+02
## NCOA1 4.675623e-02 3.735786e+02
## TNKS2 4.688316e-02 -7.361803e+02
## RWDD2A 4.709133e-02 3.225811e+02
## TNIP3 4.724786e-02 -5.599175e+02
## C1orf54 4.742101e-02 -2.902332e+02
## HARS2 4.752194e-02 4.774792e+02
## CLC 4.756856e-02 -8.080198e+02
## LYL1 4.770957e-02 2.841057e+02
## FAT2 4.771094e-02 -4.781963e+02
## GDAP1 4.771249e-02 3.270646e+02
## ARMC2 4.776210e-02 7.599323e+02
## CD209 4.780284e-02 -2.983853e+02
## ZNF451 4.795150e-02 4.306385e+02
## DDX18 4.798635e-02 -4.082588e+02
## ATP6AP1 4.827850e-02 3.170012e+02
## ICAM2 4.848989e-02 -2.986783e+02
## PLEKHH1 4.852545e-02 3.010942e+02
## ATG2A 4.854305e-02 5.011926e+02
## CUL3 4.857140e-02 9.981923e+02
## KIAA1377 4.879298e-02 1.057045e+03
## TMEM161A 4.883994e-02 -6.981193e+02
## CCL22 4.884066e-02 -2.371153e+02
## TMEM5 4.895525e-02 3.390791e+02
## APOH 4.907830e-02 -1.112336e+03
## PLP1 4.912424e-02 -8.750344e+02
## ERBB2IP 4.927408e-02 6.050936e+02
## BAX 4.938272e-02 -3.140085e+02
## SLC23A2 4.944051e-02 5.912055e+02
## KCNJ13 4.955879e-02 -7.204577e+02
## EXTL3 4.963827e-02 3.309159e+02
## AEBP1 4.967040e-02 1.581588e+02
## IGFBP5 4.968233e-02 1.344440e+02
## CCDC147 4.972010e-02 -6.487952e+02
## MIB1 4.973126e-02 5.135317e+02
## PREP 4.974719e-02 -2.808372e+02
## DNM1 4.988549e-02 3.873145e+02
## CRYBB3 4.988892e-02 -1.201178e+03
## FAM117A 5.005475e-02 6.479651e+02
## CDH10 5.008448e-02 -4.360471e+02
## MTA3 5.010361e-02 -3.734682e+02
## TNFSF18 5.011262e-02 -9.235540e+02
## RIOK1 5.011533e-02 -3.753836e+02
## C4BPA 5.023707e-02 -4.874766e+02
## WDR54 5.027671e-02 2.072397e+02
## MAOB 5.055523e-02 1.291725e+02
## RRAGC 5.065645e-02 -4.270340e+02
## GRAP2 5.084326e-02 -8.941620e+02
## PEX5L 5.086239e-02 5.613391e+02
## CD83 5.106468e-02 -2.357056e+02
## RTN4 5.107115e-02 3.400180e+02
## CTSH 5.109482e-02 -2.633684e+02
## TRAF3IP2 5.131264e-02 -2.609910e+02
## LYPLA2 5.145866e-02 -3.819752e+02
## RNF24 5.151311e-02 -2.470601e+02
## PLA2G12A 5.151464e-02 6.580160e+02
## MTFMT 5.159068e-02 -5.271669e+02
## DHX33 5.174527e-02 4.113112e+02
## RELT 5.178400e-02 -7.315309e+02
## SERP1 5.183732e-02 2.957510e+02
## GOLGA3 5.188520e-02 4.112801e+02
## NCF2 5.189305e-02 -7.109042e+02
## CLINT1 5.254244e-02 -3.888321e+02
## SLC25A14 5.272451e-02 4.353119e+02
## GPR68 5.281900e-02 2.633896e+02
## ZFHX4 5.297677e-02 4.201096e+02
## POLD1 5.303111e-02 -3.760806e+02
## ELAVL2 5.307330e-02 -7.545674e+02
## SPA17 5.348926e-02 2.438901e+02
## CUTA 5.379582e-02 3.733567e+02
## SERAC1 5.380085e-02 6.449414e+02
## NENF 5.381521e-02 3.401392e+02
## FAM53C 5.392760e-02 -3.690476e+02
## NME2 5.394964e-02 -2.776880e+02
## WDR59 5.427039e-02 -4.535723e+02
## RTKN 5.431215e-02 -2.901184e+02
## DNMT3A 5.441198e-02 6.991450e+02
## ZFR 5.444464e-02 -4.423249e+02
## VWF 5.445120e-02 2.110161e+02
## ELP4 5.463196e-02 -4.264163e+02
## N4BP2 5.475064e-02 2.558588e+02
## CHPT1 5.493002e-02 1.665514e+02
## NDE1 5.496109e-02 2.606988e+02
## ALG9 5.506025e-02 -3.962301e+02
## GABRA4 5.511956e-02 -1.065979e+03
## PKD2L2 5.531440e-02 1.165218e+03
## FAM107B 5.533151e-02 2.058039e+02
## PHF23 5.549028e-02 3.892802e+02
## SOCS2 5.552607e-02 1.378763e+02
## SMURF2 5.555592e-02 -9.394136e+02
## UNC5A 5.562888e-02 1.724912e+02
## CDKL1 5.565051e-02 -9.977026e+02
## PSME1 5.565077e-02 3.043266e+02
## APOA4 5.570334e-02 1.177840e+03
## CYP27B1 5.581407e-02 -2.877682e+02
## BMP5 5.590646e-02 -4.219572e+02
## IDE 5.593966e-02 -4.045938e+02
## DOCK3 5.598729e-02 -6.333666e+02
## EPC1 5.609919e-02 5.817575e+02
## AMBP 5.623412e-02 -8.516916e+02
## DMC1 5.624835e-02 1.973920e+02
## TESK1 5.652741e-02 -4.194429e+02
## H2AFY2 5.691593e-02 -1.390573e+02
## LRRC23 5.703631e-02 4.161882e+02
## LAT2 5.703635e-02 2.978685e+02
## TEK 5.736407e-02 3.010723e+02
## HRH2 5.769656e-02 -1.169057e+03
## NDUFAB1 5.784498e-02 -2.928970e+02
## GNAS 5.793409e-02 -2.960197e+02
## AGMAT 5.798336e-02 -8.175124e+02
## BIRC2 5.805055e-02 -3.071641e+02
## DENND1A 5.808161e-02 -4.365930e+02
## GBP3 5.817955e-02 -8.151029e+02
## ELAC2 5.823473e-02 4.593303e+02
## MDK 5.832677e-02 -1.472269e+02
## PRSS21 5.837925e-02 2.740806e+02
## TRIM23 5.853551e-02 4.640782e+02
## CLDND1 5.855008e-02 -3.991012e+02
## YKT6 5.873111e-02 -6.956412e+02
## DBX1 5.875840e-02 -9.038921e+02
## EP300 5.881083e-02 3.238094e+02
## TTL 5.887776e-02 -4.253688e+02
## HIPK2 5.906453e-02 2.479461e+02
## TBC1D10A 5.912549e-02 -5.257766e+02
## PPIL2 5.922305e-02 8.524010e+02
## TGDS 5.927296e-02 -4.407089e+02
## TMED5 5.927853e-02 -3.266793e+02
## FASTKD2 5.976106e-02 -4.939821e+02
## CNN2 5.991896e-02 -2.046735e+02
## DBF4 6.008477e-02 -1.086343e+03
## RNF31 6.026123e-02 3.433090e+02
## MYLK 6.046936e-02 -2.001444e+02
## AKAP8L 6.048610e-02 3.046232e+02
## KLF5 6.053944e-02 -6.642331e+02
## KRIT1 6.064304e-02 5.137918e+02
## TINF2 6.068331e-02 2.797459e+02
## C14orf166 6.071561e-02 -2.578329e+02
## COQ10B 6.073938e-02 -3.919727e+02
## SENP6 6.075292e-02 3.837237e+02
## CRYBA1 6.099024e-02 -8.660864e+02
## OLFM2 6.099773e-02 -6.642210e+02
## ARMC1 6.118710e-02 -3.260839e+02
## ITGA3 6.129400e-02 2.811052e+02
## BAMBI 6.181420e-02 -8.825127e+01
## RNGTT 6.205746e-02 -3.699589e+02
## GPRC5D 6.228008e-02 -8.006588e+02
## PRDX6 6.285566e-02 -3.230190e+02
## SNX21 6.289724e-02 3.546051e+02
## MED25 6.304032e-02 3.488955e+02
## PPP2R3A 6.304869e-02 4.131263e+02
## NFX1 6.313547e-02 -3.312153e+02
## XYLT2 6.320824e-02 2.547977e+02
## RPAP1 6.332592e-02 4.259636e+02
## HIST1H1D 6.339030e-02 -8.792573e+02
## DMRT3 6.378145e-02 -7.669084e+02
## BRPF3 6.385292e-02 3.135858e+02
## ZFP64 6.397321e-02 -7.638696e+02
## TRIM6 6.398676e-02 2.343834e+02
## PCDHB6 6.407908e-02 -7.627119e+02
## ARFGEF2 6.418481e-02 -3.328159e+02
## DLEC1 6.426237e-02 8.229971e+02
## JPH1 6.447520e-02 -2.196884e+02
## RBP1 6.469871e-02 -1.009348e+02
## USF2 6.493304e-02 3.855174e+02
## RPS20 6.504276e-02 -3.087254e+02
## NFE2L2 6.511357e-02 -2.710351e+02
## UBL4A 6.514488e-02 -3.633841e+02
## SYT7 6.529464e-02 1.440642e+02
## CHMP5 6.545907e-02 -2.348871e+02
## ILVBL 6.547176e-02 -2.416811e+02
## LEPREL1 6.553980e-02 2.222338e+02
## GLO1 6.569624e-02 -2.557377e+02
## GIPC1 6.570807e-02 -2.726276e+02
## PSMC1 6.602332e-02 -3.931640e+02
## CPB2 6.640324e-02 -7.624705e+02
## HIPK3 6.642435e-02 -7.168544e+02
## MESDC2 6.647625e-02 1.059230e+03
## ACPP 6.650488e-02 -4.651433e+02
## IL17C 6.651477e-02 -8.903040e+02
## CASP8 6.656905e-02 -5.584344e+02
## TRAM1 6.662016e-02 -3.252087e+02
## RABAC1 6.670049e-02 3.142181e+02
## RPS12 6.698817e-02 -2.837278e+02
## CMTM6 6.705795e-02 2.413912e+02
## BZW1 6.720060e-02 -3.130932e+02
## GRIPAP1 6.727764e-02 2.187807e+02
## IL1RL1 6.755156e-02 -9.506979e+02
## TEAD2 6.795002e-02 -1.597884e+02
## HDAC4 6.814340e-02 3.565550e+02
## GSS 6.830515e-02 3.325769e+02
## LMBR1 6.835625e-02 -3.080169e+02
## HMGB3 6.838291e-02 -1.578608e+02
## BCL3 6.863129e-02 2.766921e+02
## SLC18A1 6.891327e-02 8.211363e+02
## MRPL4 6.896350e-02 -4.052135e+02
## CALCA 6.900418e-02 -8.253925e+02
## PDE1A 6.903622e-02 2.621586e+02
## WASF1 6.941107e-02 -9.967864e+02
## TFPT 6.959498e-02 -2.593221e+02
## THRAP3 6.973297e-02 -4.890336e+02
## MDFI 6.976154e-02 -5.029561e+02
## LHX5 7.020096e-02 -1.032378e+03
## PHYH 7.044835e-02 -2.154386e+02
## KIF3B 7.046816e-02 3.690715e+02
## TAF7L 7.051155e-02 -7.671193e+02
## PFDN5 7.054161e-02 3.576628e+02
## SHOC2 7.071592e-02 3.702363e+02
## CLCN2 7.075712e-02 -6.178118e+02
## TFAP2B 7.090482e-02 8.721127e+01
## RETN 7.094537e-02 -8.249220e+02
## ARAF 7.099006e-02 3.760859e+02
## PAPLN 7.099827e-02 3.082170e+02
## PRPS2 7.117403e-02 -2.964713e+02
## ESX1 7.120953e-02 -5.334239e+02
## MYEF2 7.128833e-02 -7.450468e+02
## MPHOSPH9 7.149423e-02 -5.523376e+02
## PITPNM1 7.177205e-02 -2.571451e+02
## LIFR 7.179911e-02 5.457635e+02
## LYPD3 7.198748e-02 1.779878e+02
## BCAS1 7.199458e-02 1.685335e+02
## DVL2 7.225734e-02 4.674546e+02
## MYBL2 7.230946e-02 -8.355556e+02
## NEBL 7.252532e-02 2.077877e+02
## ANAPC5 7.275721e-02 4.500867e+02
## REG1A 7.285261e-02 3.452867e+02
## ADNP 7.286108e-02 -3.345632e+02
## NFE2L1 7.288823e-02 2.532170e+02
## FYB 7.289952e-02 -1.837515e+02
## EDC4 7.301293e-02 -3.140966e+02
## HOXA13 7.302755e-02 -5.161806e+02
## LTBP1 7.335553e-02 -8.420642e+02
## UBE4A 7.372502e-02 -2.774128e+02
## PTGS1 7.383391e-02 2.420147e+02
## TIMP3 7.390001e-02 1.433273e+02
## PAK3 7.432739e-02 1.012102e+03
## CD84 7.450106e-02 -3.079467e+02
## MS4A6A 7.475531e-02 -1.536649e+02
## NANS 7.485004e-02 -2.690036e+02
## DRG2 7.500598e-02 3.748845e+02
## BRAP 7.501924e-02 -6.199891e+02
## MTRF1 7.503940e-02 6.779444e+02
## QPCT 7.505557e-02 -1.699145e+02
## CTBS 7.519358e-02 3.103222e+02
## CRX 7.551644e-02 -9.111471e+02
## TRPC5 7.551757e-02 -5.559008e+02
## CASP2 7.559110e-02 -3.302278e+02
## PTPRZ1 7.603499e-02 -5.099395e+02
## DYRK4 7.606296e-02 -2.770016e+02
## C12orf44 7.622636e-02 -3.688732e+02
## IFI35 7.634192e-02 2.039382e+02
## WNT11 7.634979e-02 3.432720e+02
## PDZD4 7.638820e-02 -4.041985e+02
## SIGLEC8 7.647584e-02 6.144543e+02
## RAB38 7.658715e-02 1.395092e+02
## TRMU 7.687677e-02 -4.272460e+02
## EEF1A2 7.702766e-02 6.684922e+01
## CDS2 7.723488e-02 3.524645e+02
## ZBTB45 7.747979e-02 4.079941e+02
## RBPJL 7.795325e-02 7.438156e+02
## GRPEL1 7.825012e-02 -3.212311e+02
## RBBP9 7.837685e-02 2.865812e+02
## STXBP3 7.851356e-02 3.488416e+02
## STIM2 7.868929e-02 5.908064e+02
## AGBL5 7.869467e-02 -2.829824e+02
## ABCB6 7.881229e-02 -2.461961e+02
## POU2F2 7.884432e-02 5.189079e+02
## SPEG 7.885190e-02 -6.916577e+02
## SLC39A9 7.893487e-02 4.181461e+02
## GOLPH3 7.908809e-02 -3.055167e+02
## KLHL20 7.916696e-02 -3.405603e+02
## TFEC 7.939342e-02 -1.023607e+03
## PFN1 7.949107e-02 -3.666270e+02
## RFX4 7.961520e-02 -1.243115e+03
## SIPA1L2 7.998713e-02 -1.900876e+02
## OLFM3 8.013543e-02 3.850412e+02
## EYA2 8.025125e-02 -1.359983e+02
## RENBP 8.029170e-02 -2.365668e+02
## KLHL4 8.053403e-02 1.160258e+03
## MPL 8.094725e-02 -5.690713e+02
## RBBP7 8.122217e-02 -1.982215e+02
## BAG1 8.127989e-02 4.215789e+02
## WFDC2 8.145115e-02 4.477261e+02
## BBC3 8.150454e-02 -7.450148e+02
## SYN1 8.190349e-02 2.179281e+02
## ARL4A 8.194885e-02 -1.774322e+02
## MGLL 8.196065e-02 -1.855791e+02
## TXLNA 8.216264e-02 3.573513e+02
## NKAIN1 8.219230e-02 2.470199e+02
## ATE1 8.229320e-02 -5.528599e+02
## HPX 8.232937e-02 1.185671e+02
## TCOF1 8.253846e-02 -1.265165e+03
## ZNF343 8.261057e-02 -6.376667e+02
## CDH23 8.285899e-02 2.817176e+02
## CHRNA2 8.292529e-02 8.784626e+02
## DGCR2 8.320029e-02 2.915152e+02
## ALDH5A1 8.341761e-02 2.256617e+02
## MOCOS 8.344187e-02 -1.622155e+02
## NNT 8.363436e-02 2.391098e+02
## ZMIZ1 8.372768e-02 2.632401e+02
## ADIPOR2 8.395503e-02 1.633176e+02
## NAGK 8.446586e-02 -3.575180e+02
## TXK 8.451464e-02 -8.198183e+02
## TPD52 8.467333e-02 1.439564e+02
## FAM20B 8.500293e-02 2.920095e+02
## STX4 8.602013e-02 3.719224e+02
## NSL1 8.617519e-02 2.907144e+02
## PARP12 8.617826e-02 -2.241601e+02
## GNMT 8.631425e-02 3.001734e+02
## FAM76A 8.651646e-02 -7.073197e+02
## ZKSCAN1 8.656162e-02 3.034850e+02
## IDH3B 8.660242e-02 -3.462836e+02
## ZMYND8 8.683565e-02 2.530223e+02
## INTS10 8.692921e-02 2.805142e+02
## B9D2 8.777798e-02 4.436984e+02
## COL9A3 8.787293e-02 -4.974131e+02
## KRR1 8.805575e-02 3.991300e+02
## OR2B6 8.834104e-02 -6.105351e+02
## RGS17 8.842659e-02 4.213418e+02
## PTCD2 8.854452e-02 3.993313e+02
## SMARCD1 8.858955e-02 4.153279e+02
## WNK1 8.877391e-02 3.131857e+02
## DUSP12 8.890278e-02 -3.257895e+02
## SLC38A1 8.892148e-02 1.566355e+02
## ENTPD2 8.934177e-02 -3.167859e+02
## DHRS7B 8.959244e-02 3.088286e+02
## PDZRN3 8.978104e-02 5.554899e+02
## EHD2 8.979347e-02 3.160391e+02
## SNAI1 8.980250e-02 -9.062890e+02
## CRHR2 8.997022e-02 1.001717e+03
## FMO3 9.063966e-02 -1.899077e+02
## SLC16A8 9.064790e-02 -6.530852e+02
## SETX 9.085870e-02 -4.957881e+02
## TCF3 9.144705e-02 -2.548079e+02
## CWF19L1 9.162173e-02 -3.633556e+02
## ELOVL3 9.169122e-02 -7.061864e+02
## EDEM2 9.190168e-02 -3.702985e+02
## PPARD 9.194664e-02 -4.133716e+02
## PIK3CA 9.205152e-02 -3.661890e+02
## ZMYM2 9.223290e-02 3.440686e+02
## P2RY10 9.238033e-02 -2.723916e+02
## ACAT1 9.271940e-02 2.171865e+02
## MYCBP2 9.276194e-02 2.537039e+02
## PLA2G3 9.278669e-02 2.242878e+02
## PPP1R12A 9.300037e-02 -4.423634e+02
## SOBP 9.335592e-02 3.785125e+02
## SEC63 9.343291e-02 -5.210426e+02
## HNRNPC 9.368323e-02 3.934924e+02
## DHRS9 9.425108e-02 -1.605412e+02
## ALDH3B1 9.429818e-02 -2.582542e+02
## MOCS3 9.457873e-02 -6.950264e+02
## MDGA1 9.498621e-02 5.967717e+02
## CLASP1 9.508541e-02 3.863005e+02
## UFSP2 9.511682e-02 3.906928e+02
## TUBD1 9.513266e-02 -2.899060e+02
## CD2 9.529125e-02 -1.169921e+02
## TPSD1 9.568852e-02 -8.867021e+02
## TASP1 9.583226e-02 -4.799405e+02
## CLDN15 9.587869e-02 3.130570e+02
## SIRT1 9.590968e-02 3.812242e+02
## HIBADH 9.652479e-02 2.432388e+02
## ZNF532 9.659636e-02 -3.100392e+02
## FBXL3 9.672912e-02 2.877095e+02
## DRD4 9.682040e-02 -1.964219e+02
## DLG1 9.700115e-02 -8.155453e+02
## RPL18A 9.722537e-02 -3.225940e+02
## MFAP2 9.724969e-02 -1.933156e+02
## MTHFD1 9.725971e-02 -4.670133e+02
## IFT80 9.732108e-02 -8.954100e+02
## MSH3 9.745318e-02 2.862153e+02
## LMO3 9.757326e-02 1.085149e+02
## COL4A3BP 9.761980e-02 2.375777e+02
## ATP9A 9.765341e-02 2.221393e+02
## SPARC 9.771314e-02 1.481191e+02
## FXR1 9.785202e-02 -3.038541e+02
## ADCYAP1R1 9.785384e-02 -1.021642e+03
## SAMM50 9.824901e-02 -3.045223e+02
## INTS2 9.833622e-02 -2.571398e+02
## PPP1R12B 9.865135e-02 4.765119e+02
## CCNC 9.932040e-02 -1.908909e+02
## VTA1 9.943052e-02 -3.838406e+02
## PSMD10 9.944657e-02 -2.832359e+02
## PAEP 9.946470e-02 -6.347640e+02
## ACR 9.956148e-02 -9.070692e+02
## RPS6KA1 9.973364e-02 2.629478e+02
## NAGPA 9.992979e-02 3.471763e+02
## ACTA2 9.995750e-02 -1.705710e+02
## SH3TC1 1.000617e-01 3.703367e+02
## VRK2 1.002596e-01 -2.078651e+02
## TSPAN17 1.011100e-01 -2.977671e+02
## LOXL3 1.011751e-01 3.365776e+02
## PSD 1.013825e-01 8.246813e+02
## MTAP 1.013853e-01 -2.728149e+02
## BST1 1.018491e-01 -6.677396e+02
## DTX4 1.019419e-01 -9.063987e+02
## TBCCD1 1.021770e-01 -5.815057e+02
## PPWD1 1.022855e-01 3.932333e+02
## SPSB2 1.024004e-01 2.969285e+02
## RUNDC3B 1.026082e-01 3.402957e+02
## RPL21 1.030980e-01 -1.336809e+02
## TRO 1.030994e-01 1.933426e+02
## FKBP14 1.032169e-01 1.960836e+02
## ARMC6 1.033541e-01 -4.120446e+02
## NSMCE4A 1.034541e-01 2.649063e+02
## PARD6B 1.036666e-01 2.729021e+02
## UFD1L 1.042935e-01 -4.672212e+02
## CDH6 1.044093e-01 5.129479e+02
## PPP5C 1.044331e-01 -5.204227e+02
## NUDT12 1.046538e-01 4.755507e+02
## CLEC2D 1.053230e-01 -2.283080e+02
## FGF12 1.055438e-01 2.287177e+02
## TBC1D22A 1.057731e-01 6.386088e+02
## AARS2 1.061239e-01 -3.979493e+02
## ARID1A 1.066033e-01 3.065473e+02
## NRIP2 1.071353e-01 6.869256e+02
## RUNX1T1 1.071403e-01 3.459021e+02
## TAS2R7 1.074691e-01 9.091650e+02
## IPO11 1.076623e-01 3.347568e+02
## ERLIN1 1.077016e-01 -5.155617e+02
## DDX20 1.077334e-01 -6.607650e+02
## LRCH4 1.080314e-01 2.468986e+02
## R3HDML 1.081436e-01 -8.635561e+02
## ASB9 1.082719e-01 -2.245732e+02
## PTK2B 1.084200e-01 4.240032e+02
## SARDH 1.084812e-01 5.811283e+02
## SLC4A9 1.085691e-01 -8.204743e+02
## PIGL 1.085741e-01 5.040230e+02
## GSK3A 1.086663e-01 -7.255104e+02
## TFCP2L1 1.089026e-01 -1.396278e+02
## DNAJC16 1.093419e-01 7.093957e+02
## FOXRED1 1.096492e-01 -2.792220e+02
## POLB 1.097090e-01 1.709746e+02
## MNAT1 1.097642e-01 -3.014431e+02
## TSNAXIP1 1.098738e-01 4.757497e+02
## APOB 1.102818e-01 -9.184573e+02
## PEX12 1.104206e-01 -1.128846e+03
## BACH2 1.105518e-01 -4.787526e+02
## MORC1 1.108573e-01 -8.664015e+02
## AXIN1 1.109658e-01 2.814221e+02
## TNFRSF1B 1.110389e-01 -2.745070e+02
## TYR 1.112946e-01 8.453970e+02
## PSMD5 1.113920e-01 3.413835e+02
## FKBP6 1.114477e-01 8.844082e+02
## LMCD1 1.115538e-01 1.586353e+02
## CD5L 1.116744e-01 -7.179718e+02
## POLR1A 1.116972e-01 -7.944438e+02
## PUS3 1.120099e-01 -3.368979e+02
## CNFN 1.120618e-01 1.494828e+02
## EGR1 1.120747e-01 -1.096216e+02
## MRPS31 1.121560e-01 3.541533e+02
## NPFFR2 1.123601e-01 2.962395e+02
## KCNK6 1.124797e-01 1.671244e+02
## QSOX1 1.124806e-01 1.706742e+02
## MYF5 1.125880e-01 -9.532766e+02
## PMM1 1.126742e-01 3.148093e+02
## CNTNAP1 1.128045e-01 3.233778e+02
## GLI1 1.130375e-01 5.640785e+02
## ABCC10 1.131186e-01 -4.039057e+02
## WISP2 1.132942e-01 1.207934e+02
## AICDA 1.133599e-01 -7.777698e+02
## DDX43 1.134148e-01 -4.705264e+02
## TBC1D2 1.136039e-01 -3.109923e+02
## TXNL1 1.140282e-01 -2.735299e+02
## TULP3 1.144351e-01 -3.270333e+02
## SNX4 1.145420e-01 -3.289596e+02
## LRRC59 1.149148e-01 -4.635434e+02
## RAB32 1.151486e-01 -1.974369e+02
## C11orf63 1.151584e-01 3.253130e+02
## PITPNM2 1.152020e-01 -4.272102e+02
## RASL11A 1.152434e-01 -3.155652e+02
## DDX25 1.152690e-01 9.634908e+02
## CYP3A43 1.154800e-01 -1.103422e+03
## CLU 1.155231e-01 -9.669168e+02
## PCDHGA2 1.157790e-01 1.161502e+03
## OR2S2 1.158138e-01 8.575310e+02
## SCGB2A1 1.158924e-01 5.422537e+01
## PTPRH 1.166883e-01 -5.815554e+02
## MPP2 1.167934e-01 2.870146e+02
## PAIP2 1.169327e-01 2.241360e+02
## OGFRL1 1.171552e-01 -2.212943e+02
## NGFR 1.179565e-01 -4.761359e+02
## MBNL3 1.180417e-01 -4.850733e+02
## VCL 1.180679e-01 -2.663033e+02
## ZCCHC6 1.186442e-01 3.103039e+02
## NFATC2 1.187359e-01 1.001424e+03
## ZDHHC6 1.187447e-01 3.759731e+02
## CRIPT 1.189283e-01 -2.780591e+02
## DAPP1 1.189859e-01 2.063681e+02
## FASLG 1.192010e-01 -5.305734e+02
## NEFH 1.192300e-01 1.871962e+02
## SSR1 1.192809e-01 -2.774769e+02
## POLR3B 1.195423e-01 -3.462655e+02
## GLE1 1.195939e-01 2.761912e+02
## OCA2 1.196249e-01 -3.242449e+02
## SLC25A40 1.197423e-01 -3.502007e+02
## PF4V1 1.198822e-01 -7.904914e+02
## RAP1GAP 1.199281e-01 1.256200e+02
## LRRC40 1.203928e-01 -3.581955e+02
## S100PBP 1.204191e-01 4.741684e+02
## COPA 1.204787e-01 -3.258177e+02
## HSF2 1.204796e-01 -3.665095e+02
## ATP2B1 1.208473e-01 -6.054145e+02
## PIK3R2 1.214119e-01 2.078450e+02
## GTF3C1 1.214858e-01 2.334412e+02
## DPF1 1.216470e-01 -7.080748e+02
## MSH4 1.217260e-01 7.466844e+02
## KIAA1107 1.220219e-01 4.389439e+02
## NBN 1.221115e-01 2.389065e+02
## GIMAP2 1.222538e-01 -3.205120e+02
## SDHA 1.228123e-01 -2.853396e+02
## PIAS4 1.229679e-01 2.163110e+02
## KLF7 1.229796e-01 -7.379992e+02
## ALPK1 1.230142e-01 3.015581e+02
## TBCC 1.232334e-01 -3.545778e+02
## LAMC3 1.237051e-01 -2.836004e+02
## VEZT 1.237779e-01 2.082789e+02
## PSME2 1.238333e-01 -2.139879e+02
## TM7SF3 1.242016e-01 2.487049e+02
## WDR77 1.243360e-01 -4.170873e+02
## TARBP1 1.244433e-01 2.277051e+02
## U2AF2 1.246778e-01 -3.242422e+02
## RNF19A 1.247804e-01 -1.976465e+02
## ZFAND1 1.248502e-01 -2.103671e+02
## FAM35A 1.249080e-01 3.528409e+02
## TGM5 1.249454e-01 -3.621516e+02
## MCAM 1.250235e-01 -6.164196e+02
## SP4 1.250515e-01 -4.062443e+02
## APH1A 1.253679e-01 -2.225401e+02
## TMEM97 1.254262e-01 -1.937800e+02
## GCKR 1.255859e-01 -8.447096e+02
## ZNF14 1.257017e-01 1.665714e+02
## SLC25A3 1.261483e-01 -2.831555e+02
## CTNS 1.261563e-01 3.806618e+02
## TOX3 1.261695e-01 1.636157e+02
## FBXL20 1.265766e-01 -1.403983e+02
## GPLD1 1.268869e-01 9.324946e+02
## DLX5 1.269382e-01 -1.791021e+02
## SERPINA7 1.273367e-01 8.563869e+02
## MAN2A1 1.276909e-01 2.047823e+02
## VPS4B 1.279713e-01 2.902680e+02
## HAO1 1.279831e-01 -8.252675e+02
## C17orf85 1.287556e-01 3.836451e+02
## MPPED2 1.289088e-01 4.258115e+02
## BCL7B 1.289627e-01 -3.962801e+02
## CREB3 1.291874e-01 -4.387648e+02
## PPAP2A 1.294642e-01 -1.728375e+02
## SCN4A 1.295330e-01 6.248135e+02
## WDR70 1.298049e-01 -3.419931e+02
## DRP2 1.298118e-01 7.932545e+02
## ERCC2 1.298174e-01 3.699460e+02
## COL1A1 1.298215e-01 1.122245e+02
## COPE 1.298754e-01 -2.971663e+02
## SLC25A17 1.299396e-01 3.934378e+02
## SYP 1.301190e-01 1.927646e+02
## LIN7A 1.305691e-01 2.195588e+02
## PHACTR1 1.309266e-01 -4.271635e+02
## LGALS1 1.312694e-01 -1.917417e+02
## C11orf58 1.313507e-01 -4.957278e+02
## HERPUD1 1.314104e-01 -1.684240e+02
## PDC 1.315543e-01 1.056180e+03
## LZTS2 1.319125e-01 3.700127e+02
## DPEP1 1.320858e-01 6.413019e+02
## GGT1 1.320954e-01 -1.648925e+02
## UPP2 1.321424e-01 -7.854518e+02
## PBX4 1.323123e-01 -2.897851e+02
## MBTD1 1.323936e-01 2.339018e+02
## UBE2B 1.325027e-01 5.732117e+02
## SYF2 1.325318e-01 3.093894e+02
## PLCB4 1.326021e-01 -2.576141e+02
## WNT16 1.326402e-01 6.393059e+02
## HRG 1.327346e-01 1.066814e+03
## TBC1D1 1.329122e-01 -7.222394e+02
## HIST1H1A 1.329523e-01 6.777050e+02
## ACO1 1.330311e-01 2.159396e+02
## PEX6 1.333441e-01 2.277097e+02
## SLC9A3R1 1.333511e-01 1.227356e+02
## TNPO1 1.336535e-01 -2.342383e+02
## APBA2 1.337338e-01 -8.164457e+02
## ADCY2 1.339267e-01 -5.360690e+02
## CNTFR 1.341799e-01 -1.648859e+02
## IL18R1 1.343443e-01 -2.942985e+02
## NKG7 1.343543e-01 -1.166065e+02
## NRXN2 1.346530e-01 2.194550e+02
## CCDC113 1.347511e-01 7.750039e+02
## CCNT2 1.350651e-01 3.661740e+02
## WNT6 1.353256e-01 -5.796193e+02
## PRICKLE4 1.354081e-01 -2.618256e+02
## SPEF1 1.355699e-01 4.924160e+02
## SLC2A9 1.357503e-01 -3.861756e+02
## MMP25 1.358290e-01 -1.908396e+02
## IRGC 1.358406e-01 -7.962124e+02
## OTOF 1.359591e-01 -2.741421e+02
## DDX24 1.360808e-01 3.234903e+02
## TXNIP 1.362679e-01 1.792509e+02
## NDRG3 1.363056e-01 2.829427e+02
## LRP2BP 1.364334e-01 6.499304e+02
## TSPAN6 1.364376e-01 -1.768408e+02
## CLPTM1 1.365592e-01 2.669996e+02
## BIRC7 1.366682e-01 -4.549589e+02
## DOCK9 1.367072e-01 3.263938e+02
## FAM86A 1.367537e-01 -2.566287e+02
## PXMP4 1.367998e-01 1.669893e+02
## GAB2 1.371344e-01 1.649440e+02
## CCDC114 1.372357e-01 6.834839e+02
## MOCS1 1.374229e-01 2.252198e+02
## PIN4 1.380762e-01 3.286278e+02
## OPRD1 1.381583e-01 -8.038377e+02
## TF 1.384522e-01 -9.150585e+01
## CHMP2B 1.384725e-01 -2.472949e+02
## EIF4G3 1.385745e-01 2.542697e+02
## ATP8B1 1.390326e-01 3.507967e+02
## LTA4H 1.390658e-01 2.716344e+02
## AMPD2 1.393934e-01 -7.962897e+02
## MED29 1.394412e-01 2.793088e+02
## ADNP2 1.396575e-01 -3.456423e+02
## ASB2 1.398078e-01 -8.597533e+02
## PRLHR 1.402336e-01 -9.350472e+02
## MIPEP 1.403229e-01 2.095379e+02
## CSTA 1.405782e-01 -2.086676e+02
## JPH4 1.409750e-01 -8.203808e+02
## METRN 1.411253e-01 1.536303e+02
## PDS5B 1.413196e-01 3.544496e+02
## ACD 1.413317e-01 -2.961806e+02
## MOV10L1 1.413843e-01 6.166250e+02
## GRN 1.414631e-01 -2.464085e+02
## TMEM159 1.415236e-01 -2.073745e+02
## TTC22 1.416536e-01 -9.394212e+02
## KHDRBS2 1.418533e-01 -7.488761e+02
## SPI1 1.418944e-01 -2.444945e+02
## TDRD1 1.420722e-01 2.369019e+02
## IKZF2 1.421602e-01 6.406835e+02
## RAD51 1.421795e-01 -4.202811e+02
## MC3R 1.421955e-01 -8.820460e+02
## TAF11 1.425705e-01 -8.110073e+02
## ZNHIT1 1.426186e-01 3.064839e+02
## RBM41 1.435790e-01 -4.211785e+02
## MFSD1 1.436661e-01 -2.551179e+02
## CHFR 1.441004e-01 -2.780248e+02
## MAGEB4 1.441046e-01 -8.336303e+02
## TTC28 1.443437e-01 5.814831e+02
## USP9Y 1.444405e-01 8.614836e+02
## GALNT3 1.444837e-01 2.387131e+02
## ARHGEF5 1.446195e-01 3.094030e+02
## HSPE1 1.452145e-01 -1.931248e+02
## PRAMEF12 1.456048e-01 -8.322315e+02
## RGSL1 1.457287e-01 7.978397e+02
## FGR 1.458174e-01 -1.986541e+02
## WDR13 1.459919e-01 3.057443e+02
## LILRA1 1.462101e-01 9.114454e+02
## IRX4 1.463724e-01 -1.196864e+02
## NOL10 1.463736e-01 4.593248e+02
## METTL4 1.465834e-01 -3.935402e+02
## DDT 1.466677e-01 -1.968338e+02
## THAP3 1.468224e-01 6.304057e+02
## BTAF1 1.472055e-01 2.609702e+02
## TIMM44 1.473581e-01 -3.013924e+02
## TRDMT1 1.478563e-01 -5.025676e+02
## ADD2 1.480183e-01 9.830654e+02
## TTC33 1.481607e-01 -4.852771e+02
## ATP5SL 1.485066e-01 3.182632e+02
## SMPX 1.486702e-01 -9.385811e+02
## PRMT8 1.490684e-01 -7.487222e+02
## ZNF37A 1.491472e-01 5.156416e+02
## MYO3B 1.492249e-01 2.456364e+02
## PRDM6 1.492348e-01 5.672706e+02
## UNC93A 1.495284e-01 -7.233112e+02
## SLC25A16 1.496508e-01 2.840251e+02
## GYS2 1.496835e-01 8.176671e+02
## CUEDC2 1.497714e-01 3.243801e+02
## GALE 1.497921e-01 -1.566232e+02
## HDAC9 1.500149e-01 -5.107089e+02
## ARHGEF2 1.503329e-01 1.900151e+02
## ATG4A 1.503859e-01 3.252298e+02
## KCNK10 1.510335e-01 6.973510e+02
## COPZ2 1.516906e-01 2.222162e+02
## INSRR 1.518191e-01 -7.075219e+02
## TGFB2 1.518822e-01 -2.411739e+02
## IBTK 1.521474e-01 2.138395e+02
## ST13 1.522389e-01 2.545636e+02
## MYNN 1.522520e-01 3.159435e+02
## OBSL1 1.526645e-01 -7.168972e+02
## BMP8B 1.527832e-01 -4.225270e+02
## PLSCR4 1.529143e-01 2.081583e+02
## EIF3I 1.536263e-01 -2.657383e+02
## MOXD1 1.537061e-01 -1.476973e+02
## CECR2 1.537660e-01 -8.164091e+02
## PDYN 1.539514e-01 -5.218966e+02
## AP4E1 1.539628e-01 3.994192e+02
## FYN 1.541818e-01 -1.896791e+02
## USP48 1.542486e-01 -3.986308e+02
## CNN3 1.544566e-01 1.709519e+02
## POPDC2 1.544689e-01 4.456133e+02
## MS4A12 1.546676e-01 8.147721e+02
## PYGM 1.548190e-01 -7.031415e+02
## PTPN5 1.548628e-01 -5.279694e+02
## SPATS2 1.559737e-01 -3.423582e+02
## TNN 1.564681e-01 3.742838e+02
## SKAP2 1.565339e-01 -2.157332e+02
## SLC6A12 1.565398e-01 2.652704e+02
## C3orf14 1.566479e-01 1.109348e+02
## PPARGC1A 1.571330e-01 -2.810905e+02
## ABCA7 1.575877e-01 2.450199e+02
## OPN5 1.578761e-01 -8.468919e+02
## ELAVL1 1.579318e-01 2.615850e+02
## IYD 1.580574e-01 -2.608510e+02
## THSD7A 1.581402e-01 -5.639703e+02
## KCNQ4 1.584203e-01 -9.424584e+02
## BVES 1.588341e-01 -4.266792e+02
## PLEKHM2 1.590217e-01 -3.248588e+02
## TG 1.593547e-01 7.058821e+02
## PGC 1.597291e-01 1.288569e+02
## ACTR5 1.599087e-01 -3.499524e+02
## B4GALT7 1.602646e-01 2.749984e+02
## VDAC3 1.604366e-01 -1.868919e+02
## NRD1 1.606294e-01 -2.763510e+02
## CCR2 1.606916e-01 -1.929374e+02
## PSMC6 1.607380e-01 -2.148256e+02
## FOXO3 1.608388e-01 1.832032e+02
## CBX3 1.612212e-01 -2.321752e+02
## HSP90AB1 1.613318e-01 -2.404515e+02
## PIGZ 1.613808e-01 2.950347e+02
## RARB 1.613819e-01 -3.845541e+02
## PIH1D1 1.613867e-01 2.890509e+02
## SLC5A7 1.614827e-01 -6.737437e+02
## CFLAR 1.620423e-01 2.046003e+02
## DNAJC15 1.622410e-01 1.889879e+02
## FGF20 1.628182e-01 7.190513e+02
## SLC8A2 1.628356e-01 -1.884741e+02
## ODF2L 1.633053e-01 -2.624597e+02
## GNPDA1 1.633622e-01 2.860703e+02
## VPS18 1.635618e-01 2.970727e+02
## GOSR1 1.636226e-01 3.815654e+02
## EHD4 1.640908e-01 -2.612236e+02
## BCAR1 1.642354e-01 -2.811199e+02
## RAB34 1.642681e-01 1.499516e+02
## RPL3 1.646205e-01 2.928947e+02
## C4orf27 1.649091e-01 -2.752700e+02
## MCEE 1.650824e-01 2.317837e+02
## DGCR14 1.651028e-01 -3.899482e+02
## RARS 1.651819e-01 -3.559080e+02
## POF1B 1.652280e-01 -4.802997e+02
## CINP 1.653425e-01 -4.283047e+02
## NEURL2 1.655188e-01 -5.657699e+02
## STAU1 1.656160e-01 -2.968920e+02
## ETV1 1.657048e-01 -8.372242e+02
## NCBP2 1.657693e-01 -2.736252e+02
## MSX2 1.657862e-01 3.370297e+02
## CTNNA2 1.660855e-01 5.337285e+02
## BRD9 1.661028e-01 2.466871e+02
## BIRC3 1.661187e-01 1.882091e+02
## GTF2I 1.662641e-01 -2.140827e+02
## B3GAT1 1.666054e-01 3.889189e+02
## CHKB 1.666772e-01 2.349437e+02
## RHOXF1 1.671750e-01 8.107407e+02
## NFATC4 1.672457e-01 3.733638e+02
## RAB14 1.678497e-01 -6.153857e+02
## PLEKHG6 1.679376e-01 -2.068803e+02
## GUCA2B 1.680141e-01 -8.128766e+02
## ATG2B 1.681045e-01 -5.286367e+02
## PAGE1 1.684049e-01 -5.763314e+02
## SPAM1 1.684296e-01 -8.055706e+02
## TBL1Y 1.684402e-01 1.028356e+03
## GUCY1B3 1.689405e-01 -4.083511e+02
## FBXL19 1.691438e-01 -5.824177e+02
## NADK 1.692246e-01 2.962416e+02
## ICAM1 1.692964e-01 -3.834711e+02
## ZNF391 1.694015e-01 -6.950357e+02
## CACNA1G 1.697310e-01 8.863571e+02
## MAN1C1 1.701773e-01 1.518075e+02
## EIF4H 1.706175e-01 -3.397828e+02
## TEX14 1.706536e-01 2.371835e+02
## HADHA 1.707242e-01 -2.916376e+02
## ANKRD44 1.708692e-01 2.812436e+02
## PASK 1.712320e-01 2.597583e+02
## ZFAND5 1.715567e-01 -2.907572e+02
## MYOT 1.715939e-01 7.377110e+02
## PTHLH 1.717755e-01 1.539488e+02
## CUX2 1.722145e-01 2.074402e+02
## PFDN4 1.727622e-01 -2.914420e+02
## ACHE 1.728168e-01 7.285956e+02
## CEP68 1.728763e-01 3.652768e+02
## GANAB 1.729991e-01 -2.422409e+02
## DPH1 1.730453e-01 6.358136e+02
## MAP3K4 1.734388e-01 2.647136e+02
## HMGN3 1.734488e-01 -6.377473e+02
## CASC3 1.735614e-01 1.347592e+02
## KPNA6 1.738183e-01 2.671616e+02
## IFNA6 1.738832e-01 8.240515e+02
## PTGS2 1.740503e-01 -1.221575e+02
## SV2C 1.742833e-01 4.321811e+02
## PKP2 1.744496e-01 -2.117408e+02
## IAPP 1.744994e-01 -7.705027e+02
## ZNFX1 1.746780e-01 -2.326607e+02
## CALB1 1.749007e-01 7.908180e+02
## NHP2L1 1.751683e-01 2.445419e+02
## FAH 1.753573e-01 1.362358e+02
## TRPS1 1.753676e-01 1.883174e+02
## BCAS2 1.754434e-01 -6.096274e+02
## CLDN11 1.761628e-01 -1.332752e+02
## FGF4 1.772638e-01 -5.939007e+02
## ASH1L 1.772727e-01 6.139335e+02
## TFEB 1.773549e-01 6.008607e+02
## ADRBK2 1.775502e-01 -7.194255e+02
## CRKL 1.775557e-01 2.654935e+02
## PROKR2 1.776175e-01 -7.581759e+02
## FBXO24 1.778425e-01 8.955931e+02
## CALCR 1.778619e-01 5.611686e+02
## PHF21B 1.781158e-01 2.531734e+02
## MCAT 1.782728e-01 -2.402456e+02
## WFDC1 1.782819e-01 -2.794646e+02
## UBE2NL 1.784470e-01 -6.821796e+02
## MAPK8IP2 1.785116e-01 1.740647e+02
## UTP6 1.785669e-01 -2.834018e+02
## PRSS8 1.787912e-01 1.282729e+02
## GCLC 1.788902e-01 2.244793e+02
## TCIRG1 1.789843e-01 1.839490e+02
## ACADM 1.793166e-01 1.749207e+02
## AMMECR1 1.796782e-01 -2.020212e+02
## TNC 1.802285e-01 -9.783624e+01
## HOXA11 1.803435e-01 -5.835675e+02
## RARRES2 1.808305e-01 -1.188656e+02
## TSPAN12 1.809413e-01 -2.579457e+02
## SLC32A1 1.811618e-01 7.173994e+02
## ITK 1.811876e-01 -1.519213e+02
## LAS1L 1.817126e-01 -2.681410e+02
## SLC7A6 1.819443e-01 -2.471749e+02
## EFNB3 1.824143e-01 -1.621311e+02
## UBE2S 1.824281e-01 -7.048241e+02
## SP140 1.824975e-01 -1.807348e+02
## ATP2A3 1.825278e-01 1.627815e+02
## YPEL5 1.826488e-01 2.643444e+02
## KHDRBS1 1.834358e-01 2.878544e+02
## ANKRD54 1.835380e-01 2.582357e+02
## TXNDC15 1.836027e-01 3.242029e+02
## HDAC10 1.836646e-01 5.386435e+02
## GNB5 1.838325e-01 2.507699e+02
## TNNC1 1.839493e-01 3.196812e+02
## SBF1 1.839569e-01 -2.323691e+02
## RPS15 1.840461e-01 2.163591e+02
## CEP164 1.840897e-01 2.781830e+02
## CYP51A1 1.840911e-01 -2.210077e+02
## TNFRSF10A 1.844510e-01 -3.135546e+02
## NFYA 1.848118e-01 -2.841423e+02
## AKNA 1.848405e-01 1.786047e+02
## ZFY 1.848833e-01 9.309172e+02
## DNAJB6 1.849149e-01 -2.100372e+02
## C4orf6 1.852660e-01 7.635009e+02
## SATB2 1.853933e-01 2.022237e+02
## BCHE 1.857970e-01 1.405125e+02
## LRRC39 1.860798e-01 -7.820952e+02
## TNFRSF8 1.865453e-01 -6.738559e+02
## ZNF416 1.865919e-01 3.423986e+02
## NCKAP1L 1.868769e-01 -2.458893e+02
## RDH11 1.869344e-01 2.315782e+02
## VAMP3 1.873525e-01 -2.700396e+02
## SNAP91 1.876068e-01 2.683359e+02
## PRPF6 1.877510e-01 -2.648523e+02
## RAB10 1.878126e-01 -2.788971e+02
## USP46 1.887716e-01 3.785969e+02
## PHF13 1.888790e-01 3.180732e+02
## FOXJ2 1.889652e-01 2.495052e+02
## SPEN 1.890822e-01 2.891938e+02
## CYP3A5 1.892571e-01 -3.771341e+02
## ANKMY2 1.892755e-01 2.397600e+02
## SEC23B 1.895243e-01 -1.845272e+02
## RPA2 1.896366e-01 2.815841e+02
## HTRA2 1.899134e-01 -3.277163e+02
## SNX17 1.902373e-01 3.983105e+02
## ST7 1.903503e-01 3.082162e+02
## UBIAD1 1.904568e-01 -2.870912e+02
## MKNK1 1.904843e-01 2.797974e+02
## BLNK 1.906693e-01 -7.222387e+02
## BTNL8 1.909197e-01 -9.187174e+02
## ALAS1 1.910651e-01 5.089358e+02
## MRPS10 1.911203e-01 -2.780424e+02
## NDST1 1.912425e-01 2.977345e+02
## ELOVL4 1.914007e-01 -2.284364e+02
## FOXP3 1.916011e-01 -5.473505e+02
## FILIP1 1.916403e-01 -3.708075e+02
## CDH19 1.921392e-01 2.430120e+02
## PDLIM1 1.922868e-01 1.214373e+02
## ESF1 1.923784e-01 -7.327776e+02
## VPS41 1.928087e-01 2.949103e+02
## FXYD5 1.930082e-01 -1.259907e+02
## DCUN1D4 1.931602e-01 2.575138e+02
## DLX4 1.932432e-01 -7.919051e+02
## NOMO1 1.945818e-01 2.143432e+02
## LIMS2 1.952145e-01 -2.786268e+02
## RCL1 1.952426e-01 -2.530826e+02
## KIFAP3 1.956224e-01 2.463980e+02
## STK11 1.959301e-01 3.750442e+02
## KCND1 1.960741e-01 -4.770143e+02
## EMD 1.961514e-01 -2.231920e+02
## KIAA1211 1.962462e-01 -3.676528e+02
## CD44 1.963054e-01 1.285793e+02
## CDKN1B 1.970034e-01 1.428854e+02
## OGG1 1.974510e-01 -2.769504e+02
## ZC3H12B 1.974868e-01 5.065762e+02
## PCDHB7 1.975153e-01 -8.304262e+02
## RPS16 1.975988e-01 -3.121237e+02
## ZNF142 1.976515e-01 3.345419e+02
## DNAL4 1.976979e-01 2.140935e+02
## KCNH4 1.977451e-01 5.645045e+02
## FKBP5 1.977985e-01 -1.106689e+02
## BCLAF1 1.980578e-01 3.089356e+02
## EHHADH 1.984032e-01 3.898072e+02
## IMPG2 1.990764e-01 -6.471244e+02
## KCTD17 1.994310e-01 -6.007607e+02
## EXOC5 2.001605e-01 4.375872e+02
## SLC12A2 2.002622e-01 1.084546e+02
## MATN4 2.003340e-01 -6.094824e+02
## PTCH2 2.010301e-01 -6.131116e+02
## TECTA 2.015691e-01 5.219529e+02
## CACNG5 2.020624e-01 -8.959101e+02
## NR1H3 2.028286e-01 -1.938423e+02
## BTBD1 2.029682e-01 -2.462364e+02
## SF3A1 2.031816e-01 3.027477e+02
## GNB3 2.032134e-01 4.881179e+02
## ASIP 2.032454e-01 -2.716190e+02
## CSF3R 2.033734e-01 1.142249e+02
## SLC39A14 2.045642e-01 -2.274211e+02
## MAEA 2.048433e-01 2.471315e+02
## ASAH1 2.049403e-01 1.795315e+02
## NIT2 2.057725e-01 -2.569022e+02
## CNGB1 2.061472e-01 -5.663963e+02
## AK2 2.066997e-01 -2.082203e+02
## RANBP9 2.069878e-01 -5.325172e+02
## TRIM62 2.070853e-01 -3.630784e+02
## ZDHHC15 2.073363e-01 -4.237186e+02
## SETD1A 2.076162e-01 2.450071e+02
## FGD1 2.077745e-01 -1.888361e+02
## SCARB1 2.079045e-01 1.574539e+02
## ATP12A 2.081930e-01 -4.571482e+02
## ZNF174 2.082703e-01 3.945115e+02
## ARHGAP15 2.083102e-01 -1.374055e+02
## APOA1 2.083266e-01 4.089977e+02
## HCFC2 2.092180e-01 -3.936363e+02
## EXOSC5 2.093968e-01 -2.007014e+02
## DDX5 2.096433e-01 2.113249e+02
## CSPG5 2.104974e-01 -3.219602e+02
## SH2D3C 2.105126e-01 1.960730e+02
## LMF2 2.109654e-01 2.154326e+02
## ALDH18A1 2.109965e-01 -2.086108e+02
## ESRRB 2.114862e-01 7.477362e+02
## ANKS1A 2.115911e-01 -2.700831e+02
## UTS2 2.116444e-01 3.498485e+02
## APLP2 2.118737e-01 1.677173e+02
## ANKRD7 2.119018e-01 -8.297799e+02
## GIPR 2.119209e-01 7.789252e+02
## GPD2 2.122491e-01 2.582699e+02
## CST7 2.124599e-01 -1.478215e+02
## DUSP22 2.141031e-01 -1.997279e+02
## GDA 2.142201e-01 -5.573337e+02
## AKAP7 2.144588e-01 -2.014989e+02
## TRPC7 2.145772e-01 8.247711e+02
## CCDC47 2.148343e-01 -2.523928e+02
## MAGOHB 2.149601e-01 -3.387346e+02
## MAP4K3 2.152889e-01 2.750480e+02
## SPTLC1 2.153480e-01 1.502700e+02
## TRIP11 2.153899e-01 2.638981e+02
## TM9SF4 2.156030e-01 -2.935924e+02
## MECR 2.156548e-01 -3.784102e+02
## STK4 2.159840e-01 -2.385091e+02
## GTSF1L 2.166070e-01 -7.508096e+02
## AP2S1 2.166730e-01 -2.734423e+02
## ZBTB11 2.169445e-01 -4.029137e+02
## TREM2 2.171563e-01 2.116319e+02
## USP45 2.172490e-01 4.392105e+02
## RBP2 2.172504e-01 -3.512702e+02
## SNAP23 2.172612e-01 1.837765e+02
## SALL1 2.173688e-01 -6.791710e+02
## TMEM156 2.176739e-01 1.941654e+02
## RIMBP2 2.176988e-01 -6.297100e+02
## OPN1LW 2.177472e-01 -6.934821e+02
## TCF7 2.178974e-01 -8.297777e+02
## SHD 2.180411e-01 -6.568050e+02
## TRAM2 2.184248e-01 -2.226169e+02
## CCDC6 2.185265e-01 -1.797776e+02
## TCEB2 2.188691e-01 2.538727e+02
## TTLL2 2.190281e-01 9.097505e+02
## SRF 2.192506e-01 -2.159817e+02
## FKBP15 2.193319e-01 -3.911640e+02
## ACTL6B 2.193812e-01 2.799792e+02
## PSMD8 2.195477e-01 -2.116296e+02
## MBD3 2.197095e-01 2.953129e+02
## MT1G 2.198689e-01 -5.974882e+01
## DDX58 2.199322e-01 -1.767856e+02
## GABRA3 2.200528e-01 -6.354261e+02
## PIAS1 2.211372e-01 3.010939e+02
## EPB41L1 2.215593e-01 2.442724e+02
## PQLC1 2.217342e-01 -2.410954e+02
## CAPG 2.231450e-01 -1.964488e+02
## CDC14B 2.232342e-01 -2.160217e+02
## WASL 2.235984e-01 2.423630e+02
## INTS6 2.236701e-01 2.545948e+02
## SCAMP3 2.240396e-01 -2.275652e+02
## MAGT1 2.240963e-01 1.551524e+02
## HAS1 2.243139e-01 6.094245e+02
## GINS1 2.245027e-01 -4.776862e+02
## KLRB1 2.245123e-01 -1.067700e+02
## OXCT1 2.245332e-01 -2.467434e+02
## PSMD9 2.245802e-01 3.935682e+02
## GTF2H1 2.249444e-01 -2.529754e+02
## RAD23B 2.250033e-01 -2.249054e+02
## C10orf95 2.254086e-01 -6.254620e+02
## ITGA2B 2.257233e-01 -4.967313e+02
## CDH20 2.258766e-01 -6.988277e+02
## LAX1 2.261963e-01 -1.529407e+02
## OGN 2.263648e-01 1.050754e+02
## GPBP1 2.265130e-01 2.120460e+02
## BLVRB 2.265374e-01 -1.333540e+02
## SCARF1 2.267628e-01 -6.251236e+02
## DCBLD2 2.269325e-01 1.771681e+02
## IGF1 2.272546e-01 2.430700e+02
## CHRNE 2.274282e-01 -5.590891e+02
## RGPD5 2.275209e-01 9.627496e+02
## ALG6 2.279456e-01 -2.026741e+02
## SNTA1 2.282243e-01 2.659643e+02
## KEAP1 2.282935e-01 2.316923e+02
## SOX8 2.287092e-01 -1.005045e+02
## NLRC4 2.288555e-01 -5.317846e+02
## RAB3D 2.291606e-01 -3.794466e+02
## CXCL12 2.295242e-01 8.963431e+01
## PANK3 2.300850e-01 2.701425e+02
## KCNJ5 2.303754e-01 -4.502276e+02
## SCTR 2.304841e-01 -4.511592e+02
## POU2AF1 2.306230e-01 -1.428099e+02
## CDKL5 2.307785e-01 -8.127323e+02
## LGALS14 2.316411e-01 -5.141128e+02
## RASSF1 2.317983e-01 -2.279421e+02
## ARVCF 2.318985e-01 -5.470013e+02
## SLAMF1 2.320961e-01 -1.978458e+02
## NUP43 2.321874e-01 2.132487e+02
## DHX15 2.324778e-01 2.603492e+02
## KCNQ2 2.324994e-01 -4.952446e+02
## RASD1 2.325026e-01 -7.363598e+01
## SLCO1A2 2.329964e-01 -3.330817e+02
## AGPAT4 2.330442e-01 -2.030611e+02
## ABHD4 2.332376e-01 2.893694e+02
## MFSD10 2.339129e-01 2.032259e+02
## PIK3C2A 2.343534e-01 3.081357e+02
## PICK1 2.345558e-01 2.138635e+02
## CCDC22 2.347439e-01 -3.469902e+02
## OR14J1 2.349245e-01 -6.209264e+02
## MXRA5 2.354996e-01 1.122082e+02
## DLGAP3 2.355860e-01 -6.626692e+02
## THOC1 2.360300e-01 2.543437e+02
## NPC1L1 2.362510e-01 -1.996191e+02
## GUCY2C 2.363677e-01 5.856387e+02
## FBXO31 2.369702e-01 -2.478572e+02
## NR5A2 2.371022e-01 3.173779e+02
## TNNI3K 2.378757e-01 4.117596e+02
## SNPH 2.384258e-01 -2.687165e+02
## FSTL3 2.385871e-01 1.566962e+02
## SERPINB1 2.386750e-01 1.833928e+02
## XG 2.388330e-01 -5.270158e+02
## SELO 2.389201e-01 2.663691e+02
## ECM2 2.392288e-01 1.117175e+02
## ZBTB32 2.392992e-01 -4.805979e+02
## CCDC34 2.394158e-01 -1.311864e+02
## TSPAN32 2.395148e-01 1.822285e+02
## PARD6A 2.395585e-01 2.191343e+02
## SEC23A 2.395879e-01 -2.657470e+02
## ACRBP 2.399709e-01 -5.706162e+02
## ADRA1A 2.401415e-01 -8.112824e+02
## ADAM11 2.402125e-01 -5.616023e+02
## CRTAC1 2.403731e-01 2.047838e+02
## ABCB4 2.409753e-01 4.456840e+02
## ATP2C2 2.411036e-01 -1.321692e+02
## CLIP3 2.412431e-01 1.417857e+02
## NPVF 2.414580e-01 -6.618377e+02
## KITLG 2.415013e-01 1.229717e+02
## USE1 2.417786e-01 2.821397e+02
## TBX2 2.421813e-01 1.515579e+02
## AHRR 2.428148e-01 -5.849077e+02
## PCCB 2.435878e-01 1.820602e+02
## C22orf31 2.441363e-01 6.091295e+02
## OGFOD2 2.443894e-01 6.084367e+02
## WIPI1 2.447174e-01 1.577486e+02
## CCNG1 2.450137e-01 1.600385e+02
## TLL1 2.454055e-01 4.361231e+02
## EPM2A 2.454785e-01 -6.338570e+02
## FLT4 2.461400e-01 7.720539e+02
## HMGCS1 2.463517e-01 -1.601513e+02
## NUCKS1 2.465620e-01 -1.705093e+02
## MLC1 2.466929e-01 -5.002463e+02
## TMEM14A 2.467002e-01 -1.380608e+02
## KIAA1199 2.467859e-01 -9.099508e+01
## ZBTB17 2.470084e-01 2.964034e+02
## KIAA2022 2.470572e-01 -4.740668e+02
## MYOC 2.470626e-01 -3.978111e+02
## SLAMF7 2.473856e-01 -3.235881e+02
## SLC17A3 2.475880e-01 -7.326284e+02
## SH3BP2 2.479652e-01 -4.986313e+02
## MPP5 2.480701e-01 2.244435e+02
## BCL7C 2.481558e-01 2.223008e+02
## RPS25 2.484211e-01 -2.202999e+02
## HUWE1 2.486432e-01 2.750943e+02
## ADAM7 2.488393e-01 -2.365906e+02
## MARK4 2.489232e-01 -4.077483e+02
## LRRC7 2.490890e-01 6.746735e+02
## RPL5 2.493892e-01 -1.595713e+02
## SRPX2 2.494549e-01 -1.370949e+02
## PPP1R16B 2.502386e-01 1.368752e+02
## KCNC4 2.504141e-01 -6.594217e+02
## TPO 2.504888e-01 7.432869e+02
## CD4 2.510328e-01 -1.931319e+02
## SIRPB1 2.510852e-01 -5.554928e+02
## PRPF19 2.513860e-01 1.934786e+02
## C16orf70 2.520261e-01 -3.165931e+02
## KLF12 2.526416e-01 2.722344e+02
## LCP2 2.528707e-01 -4.755034e+02
## AP4S1 2.529142e-01 -5.898701e+02
## IL9R 2.532045e-01 6.685587e+02
## PLEKHA5 2.533009e-01 -3.003832e+02
## GAPDHS 2.533175e-01 -7.215853e+02
## PRPF40B 2.538700e-01 3.940420e+02
## CCDC70 2.542983e-01 -5.589549e+02
## GATA1 2.545954e-01 6.979227e+02
## TJP1 2.547486e-01 1.962375e+02
## MAPK8 2.547962e-01 -6.520207e+02
## PNPO 2.548684e-01 1.429898e+02
## GPR89A 2.549939e-01 -1.615521e+02
## MAD1L1 2.553591e-01 -2.610351e+02
## SMARCD3 2.554249e-01 1.267876e+02
## TROVE2 2.557537e-01 2.054765e+02
## TFB1M 2.564957e-01 2.313504e+02
## GPR143 2.568157e-01 -3.624982e+02
## SLC1A6 2.568744e-01 -6.794832e+02
## OBP2A 2.573499e-01 4.795441e+02
## BCAP29 2.573812e-01 -1.558716e+02
## ABCC11 2.577279e-01 5.948015e+01
## MAGEC2 2.578660e-01 -1.603906e+02
## SYT10 2.581459e-01 -6.317179e+02
## PLXNA2 2.582853e-01 2.638314e+02
## FTSJ3 2.582999e-01 -2.774169e+02
## ICMT 2.586582e-01 -2.460426e+02
## NRF1 2.587574e-01 5.694968e+02
## IQCG 2.590331e-01 -1.400622e+02
## PABPC4 2.592057e-01 -1.775571e+02
## SNX5 2.604194e-01 2.365532e+02
## EXOC2 2.604525e-01 1.245672e+02
## HDAC6 2.607423e-01 2.524105e+02
## STAU2 2.608876e-01 1.749533e+02
## MAPRE3 2.610401e-01 1.794191e+02
## DOK4 2.610927e-01 -2.451542e+02
## DNAH11 2.611485e-01 -4.436395e+02
## MCF2 2.617924e-01 -5.391974e+02
## MYBPC2 2.623902e-01 -3.011037e+02
## ARG1 2.624205e-01 -5.767063e+02
## HGF 2.625082e-01 -5.990781e+02
## IFT52 2.625744e-01 -2.319450e+02
## IGSF9 2.628607e-01 -1.320131e+02
## FGF1 2.631226e-01 -4.750415e+02
## PCDHB4 2.637943e-01 -1.981195e+02
## MED28 2.643024e-01 2.203892e+02
## RAPGEFL1 2.650037e-01 -1.116101e+02
## IL23A 2.657528e-01 -4.212353e+02
## DDX1 2.658285e-01 -2.411086e+02
## ATP6V0E1 2.661872e-01 -2.913148e+02
## FKBP8 2.669387e-01 -4.122446e+02
## MED15 2.672423e-01 2.607002e+02
## TMCC3 2.674617e-01 -4.948388e+02
## NR2E1 2.676859e-01 -5.282696e+02
## ABCC9 2.679402e-01 -6.222933e+02
## OTC 2.682285e-01 6.949415e+02
## DUS4L 2.685344e-01 -2.827817e+02
## ABI3 2.686242e-01 -2.276505e+02
## ROCK1 2.693969e-01 -2.798480e+02
## FANCL 2.696669e-01 -2.353634e+02
## MLLT6 2.697004e-01 1.016495e+02
## OGFR 2.697498e-01 -2.254334e+02
## TMEM109 2.697747e-01 -1.987873e+02
## CST9L 2.701949e-01 1.380541e+02
## RNF43 2.703867e-01 1.489575e+02
## LONP2 2.704049e-01 1.519454e+02
## TNFRSF17 2.706147e-01 -1.021641e+02
## CEACAM8 2.708185e-01 7.072899e+02
## CA11 2.708639e-01 1.230612e+02
## NAPA 2.709557e-01 2.942654e+02
## PTGDS 2.713935e-01 -6.638178e+01
## NEK9 2.716691e-01 6.340335e+02
## ADAMTS6 2.719287e-01 3.682429e+02
## SOD3 2.721807e-01 1.539698e+02
## APLP1 2.721948e-01 -1.167500e+02
## CABP7 2.723263e-01 -2.073245e+02
## RNF125 2.723653e-01 -4.382534e+02
## DNAJC17 2.725555e-01 2.292181e+02
## SELPLG 2.727717e-01 4.582108e+02
## BRF2 2.728041e-01 -9.762732e+01
## STX2 2.728304e-01 -2.344573e+02
## CAV2 2.741236e-01 -1.278076e+02
## FBXW7 2.742358e-01 -2.233394e+02
## KCNN1 2.743931e-01 5.795282e+02
## RNASET2 2.744674e-01 1.852550e+02
## DGKA 2.744962e-01 1.807029e+02
## CCDC85A 2.746773e-01 2.321780e+02
## TBX18 2.747585e-01 -3.819399e+02
## SNCB 2.749367e-01 -7.803920e+02
## LENG1 2.752232e-01 4.372204e+02
## GADD45A 2.753549e-01 -1.347746e+02
## PCDHB3 2.754449e-01 -1.748951e+02
## SLC25A2 2.755301e-01 -6.651113e+02
## TTC23 2.758504e-01 1.728070e+02
## RPL6 2.760213e-01 -2.263846e+02
## TAF6 2.760328e-01 1.821034e+02
## MRC1 2.761166e-01 -7.478963e+02
## DDX3Y 2.765147e-01 -6.546595e+02
## CFH 2.766299e-01 -1.285065e+02
## PRLH 2.768777e-01 5.727997e+02
## KBTBD7 2.770744e-01 2.538226e+02
## PEX3 2.775794e-01 6.336705e+02
## DHX40 2.778345e-01 1.476073e+02
## NLRP2 2.779055e-01 -6.559342e+01
## NOX1 2.782441e-01 -6.565367e+02
## LHB 2.786978e-01 -6.449792e+02
## FHL5 2.789072e-01 3.440371e+02
## CD99 2.792069e-01 -1.302343e+02
## CHRNA3 2.792712e-01 -4.210192e+02
## SFRP5 2.797764e-01 5.697011e+02
## TRIM32 2.800194e-01 -2.082487e+02
## CCR6 2.802773e-01 1.960171e+02
## NME4 2.805394e-01 1.431316e+02
## OPTN 2.805720e-01 -1.506553e+02
## FSD1 2.806936e-01 -4.346663e+02
## SULT1E1 2.810764e-01 -4.823737e+02
## TSG101 2.818498e-01 1.743066e+02
## POLR2B 2.819301e-01 -2.090504e+02
## BCL2L14 2.819722e-01 -7.622492e+02
## KISS1R 2.824349e-01 9.215136e+01
## PRKACA 2.826976e-01 -5.265037e+02
## NTSR1 2.828527e-01 -3.632825e+02
## TMEM9 2.829401e-01 1.722375e+02
## PXN 2.830693e-01 -3.053709e+02
## GIT1 2.835993e-01 -1.940082e+02
## PRKAG3 2.837156e-01 -4.309336e+02
## BCL7A 2.837932e-01 -5.326483e+02
## GLP2R 2.841665e-01 -6.501361e+02
## IL4R 2.845713e-01 -1.604012e+02
## ANXA10 2.847164e-01 5.861194e+02
## SEC61A1 2.847901e-01 -2.195292e+02
## TULP2 2.855879e-01 5.390547e+02
## C6orf118 2.857858e-01 5.894416e+02
## ST3GAL5 2.858015e-01 1.528394e+02
## ARG2 2.858345e-01 -3.327731e+02
## IFT81 2.861805e-01 4.177615e+02
## CPEB4 2.864745e-01 1.765631e+02
## WDFY1 2.873111e-01 -2.001518e+02
## UCP1 2.880761e-01 2.197055e+02
## CLCA4 2.881423e-01 -3.809462e+02
## SPG21 2.881929e-01 -1.341189e+02
## CEBPE 2.883403e-01 6.857711e+02
## ETFB 2.885288e-01 -1.097821e+02
## MRPL22 2.885484e-01 -2.392238e+02
## BTN3A3 2.891037e-01 -1.794104e+02
## KRT32 2.897774e-01 -4.566607e+02
## DEFB127 2.899568e-01 -7.108822e+02
## CD79B 2.900717e-01 -8.263350e+01
## SNX15 2.903834e-01 5.038256e+02
## ETV3 2.921133e-01 2.460748e+02
## SULT2A1 2.938694e-01 -4.815285e+02
## LAMB1 2.939432e-01 -1.573258e+02
## TNFSF10 2.953231e-01 7.852922e+01
## IGFBP2 2.954791e-01 7.411142e+01
## PSMA2 2.955848e-01 2.061184e+02
## CNR1 2.957583e-01 -3.198219e+02
## SFRP4 2.966412e-01 6.280223e+01
## MGP 2.968962e-01 6.605279e+01
## ZC3H7B 2.978793e-01 5.352892e+02
## SUMO1 2.982955e-01 -3.343238e+02
## DAP 2.984366e-01 -1.768979e+02
## ARR3 2.984416e-01 5.581265e+02
## ATG5 2.988014e-01 1.896777e+02
## MED24 2.989772e-01 -8.091961e+01
## GALNT7 2.992003e-01 6.110100e+02
## TRIP4 2.996089e-01 -2.517773e+02
## SP100 3.002667e-01 -2.231553e+02
## C1QBP 3.012658e-01 -1.612136e+02
## SERPINI2 3.020429e-01 5.915884e+02
## MEGF8 3.027378e-01 5.368987e+02
## MTRF1L 3.031449e-01 2.085538e+02
## ITCH 3.049415e-01 2.290588e+02
## WDR76 3.049985e-01 -5.328157e+02
## PLEKHA3 3.052924e-01 2.053140e+02
## CBX1 3.058376e-01 1.555721e+02
## TBX22 3.068002e-01 5.199293e+02
## KCNIP3 3.071576e-01 -1.846168e+02
## SCG3 3.073036e-01 1.918948e+02
## CELSR1 3.084989e-01 -4.002689e+02
## NSMAF 3.091234e-01 -1.650277e+02
## BCORL1 3.096417e-01 2.383471e+02
## CLCA1 3.105443e-01 -4.802617e+02
## PI4K2B 3.105699e-01 -2.192068e+02
## RAB27A 3.120507e-01 2.270193e+02
## PSMB3 3.122186e-01 -1.074664e+02
## SLC17A7 3.122189e-01 4.819420e+02
## NEO1 3.131852e-01 -1.849861e+02
## UBE2D1 3.135984e-01 5.396976e+02
## FAM76B 3.137600e-01 2.849655e+02
## PRKCZ 3.138116e-01 1.706739e+02
## FXYD3 3.141040e-01 1.300036e+02
## TIMM9 3.149383e-01 -1.836275e+02
## SIGLEC5 3.151578e-01 -5.239174e+02
## MLYCD 3.159560e-01 -2.919399e+02
## SIPA1L3 3.160798e-01 -2.466148e+02
## PDRG1 3.160990e-01 -1.575063e+02
## TESK2 3.161557e-01 1.386256e+02
## TRIM38 3.162753e-01 1.539751e+02
## ANK1 3.163555e-01 -2.875953e+02
## SCAP 3.164483e-01 1.836515e+02
## JAK2 3.166602e-01 2.505394e+02
## RRM2B 3.167761e-01 1.752977e+02
## SEMA4G 3.168396e-01 1.507028e+02
## MLN 3.169932e-01 -5.212856e+02
## WDR3 3.172686e-01 5.436606e+02
## ST6GAL1 3.174172e-01 -8.477904e+01
## FAM3A 3.182768e-01 -1.863882e+02
## MAGEA10 3.185521e-01 -1.916332e+02
## RB1CC1 3.185959e-01 -1.647843e+02
## STRN4 3.190139e-01 -2.512147e+02
## MEF2A 3.190554e-01 -2.702283e+02
## EHD3 3.191247e-01 -3.484049e+02
## SLC25A11 3.191382e-01 2.306683e+02
## ALOX5 3.195366e-01 1.091219e+02
## MFN2 3.195667e-01 1.926707e+02
## KLHL18 3.197567e-01 -3.321361e+02
## DCLRE1B 3.198605e-01 -4.180255e+02
## PIWIL1 3.199195e-01 -6.066954e+02
## TSC22D1 3.209499e-01 1.241633e+02
## SFTPA1 3.214434e-01 6.619737e+02
## ANKRD13C 3.215980e-01 -3.220131e+02
## CYLD 3.217276e-01 2.372523e+02
## WDR91 3.222203e-01 -1.985894e+02
## PNPLA5 3.222288e-01 -5.276120e+02
## NEUROD4 3.231510e-01 6.003071e+02
## CHRDL1 3.236114e-01 5.202711e+02
## KIAA1244 3.237313e-01 1.460998e+02
## IL5RA 3.240783e-01 4.761302e+02
## RHOA 3.246765e-01 2.062808e+02
## NRK 3.254235e-01 -3.550786e+02
## FOXF1 3.255377e-01 -4.796501e+02
## CDADC1 3.257349e-01 5.239785e+02
## ALG13 3.266516e-01 1.345149e+02
## SEC24A 3.269668e-01 -2.503723e+02
## TMED8 3.271571e-01 5.349235e+02
## PPEF1 3.272925e-01 1.194790e+02
## NDUFS7 3.278107e-01 1.889006e+02
## SLITRK3 3.280892e-01 3.779303e+02
## PPM1A 3.281002e-01 1.573660e+02
## C10orf2 3.282854e-01 -2.059114e+02
## JARID2 3.287271e-01 -1.644771e+02
## HCN2 3.289750e-01 6.393929e+02
## AP1B1 3.295860e-01 -1.750695e+02
## SEMA3G 3.297675e-01 2.891513e+02
## TJP2 3.301600e-01 -1.931119e+02
## ERF 3.302788e-01 -1.822199e+02
## CORO1A 3.307773e-01 -1.073486e+02
## ARHGAP28 3.309609e-01 -1.935819e+02
## RPS6KA2 3.311346e-01 1.344650e+02
## CEACAM1 3.313015e-01 -8.038265e+01
## ZNF184 3.317255e-01 -2.993355e+02
## RWDD1 3.323497e-01 -1.799128e+02
## WDR55 3.328344e-01 -2.456460e+02
## ACTR1B 3.329749e-01 2.441649e+02
## NID2 3.331990e-01 -2.602070e+02
## TBC1D15 3.332593e-01 2.310462e+02
## STEAP3 3.339347e-01 -9.206605e+01
## ARF5 3.341519e-01 -1.757853e+02
## HES2 3.343342e-01 -1.363905e+02
## THEG 3.346204e-01 -3.459466e+02
## ACTN2 3.353102e-01 -3.976773e+02
## DKK4 3.355812e-01 3.083803e+02
## L3MBTL2 3.359090e-01 1.905550e+02
## CELSR3 3.363006e-01 7.647213e+01
## MLF2 3.364568e-01 -1.627974e+02
## NDUFB3 3.373852e-01 -1.439176e+02
## CGRRF1 3.376734e-01 1.579096e+02
## CDKN1A 3.389344e-01 9.442649e+01
## MYH1 3.392926e-01 7.211487e+02
## KLHL13 3.394130e-01 -1.554903e+02
## PFKFB2 3.395269e-01 2.282121e+02
## CFTR 3.395327e-01 -3.194972e+02
## SMUG1 3.400467e-01 1.644849e+02
## LDB3 3.403862e-01 -5.728945e+02
## ZNF574 3.405995e-01 3.329186e+02
## SF3B2 3.406002e-01 -1.986698e+02
## CTNNAL1 3.406519e-01 1.456352e+02
## ABHD12 3.414091e-01 1.438992e+02
## LPPR4 3.414655e-01 -3.045524e+02
## CRLF1 3.422968e-01 -1.759154e+02
## MYO3A 3.423576e-01 4.288594e+02
## ITPKC 3.425408e-01 -2.675622e+02
## MRPS35 3.445985e-01 -1.197245e+02
## CHGB 3.452256e-01 7.284127e+01
## CBL 3.460948e-01 -2.321503e+02
## EPN3 3.465812e-01 -1.081990e+02
## HDGFL1 3.467862e-01 6.858952e+02
## RFX3 3.472360e-01 5.511066e+02
## STAM2 3.472608e-01 2.314475e+02
## CD81 3.473228e-01 -2.448793e+02
## FOXN3 3.473390e-01 -5.496958e+02
## SLC25A15 3.480446e-01 1.692908e+02
## STMN4 3.483691e-01 3.464678e+02
## FNDC3A 3.483905e-01 1.770303e+02
## KIF21B 3.486980e-01 -2.561462e+02
## SRPX 3.487235e-01 -7.702499e+01
## IPO13 3.488468e-01 -1.775719e+02
## INVS 3.491302e-01 -2.182177e+02
## PCSK5 3.494117e-01 1.250976e+02
## CRISPLD1 3.494215e-01 1.036162e+02
## HIF3A 3.495000e-01 -5.257523e+02
## LRRC31 3.500045e-01 7.434974e+01
## GNB4 3.501275e-01 -1.779281e+02
## OCRL 3.501652e-01 1.629604e+02
## PCDH17 3.502677e-01 -1.065684e+02
## RPH3A 3.506711e-01 5.441932e+02
## MRC2 3.506903e-01 -2.938565e+02
## PCGF1 3.509978e-01 -2.442228e+02
## SOHLH2 3.511886e-01 -3.740090e+02
## GLS 3.511911e-01 1.378974e+02
## LYPLA1 3.515957e-01 -1.062310e+02
## DDX55 3.518824e-01 -1.748047e+02
## SNAI2 3.530342e-01 -1.048880e+02
## RNF4 3.531430e-01 2.108505e+02
## CDC27 3.531445e-01 -4.843507e+02
## PRDM11 3.536994e-01 -5.585988e+02
## ABCB11 3.538075e-01 5.633650e+02
## LIN7B 3.542418e-01 -1.757211e+02
## GGA1 3.548856e-01 1.598664e+02
## CABP5 3.549860e-01 -5.814061e+02
## SLC38A7 3.558342e-01 -2.417020e+02
## FGF6 3.559006e-01 -3.543311e+02
## APAF1 3.565471e-01 2.172859e+02
## ZBTB25 3.565722e-01 2.550272e+02
## DCX 3.567832e-01 1.741173e+02
## ADAMTS2 3.568326e-01 -2.694781e+02
## HSP90AA1 3.582020e-01 -1.476251e+02
## RASA4 3.591196e-01 -3.605808e+02
## ING4 3.597525e-01 1.852979e+02
## STS 3.605720e-01 -2.661062e+02
## CDC37L1 3.606970e-01 -5.084211e+02
## RSPO4 3.608776e-01 7.059000e+02
## ERH 3.611600e-01 -1.278666e+02
## CACNG4 3.624803e-01 3.422378e+02
## PPP3CC 3.626460e-01 1.771761e+02
## SARS 3.629728e-01 -1.683503e+02
## CCND3 3.636684e-01 -1.574666e+02
## PTP4A1 3.637551e-01 1.521941e+02
## NEDD9 3.645384e-01 1.553768e+02
## PCDHB15 3.647037e-01 -5.099216e+02
## PHTF2 3.649453e-01 -4.088555e+02
## MVK 3.650486e-01 -1.907934e+02
## FBXO7 3.655310e-01 2.090460e+02
## HSDL1 3.658351e-01 -2.231405e+02
## TDRD3 3.659403e-01 2.443913e+02
## EVX1 3.662406e-01 -3.422520e+02
## VAMP8 3.669636e-01 -1.752987e+02
## HERPUD2 3.672003e-01 -2.251782e+02
## GGNBP2 3.677418e-01 1.894200e+02
## CCNK 3.679239e-01 1.820622e+02
## SLC8A3 3.680295e-01 3.536349e+02
## ATRNL1 3.683647e-01 2.361145e+02
## ST7L 3.689923e-01 -2.887601e+02
## MAP3K8 3.695627e-01 -1.194837e+02
## P2RX5 3.696517e-01 -4.412424e+02
## RUNX2 3.700276e-01 -1.408402e+02
## SLC4A1 3.710368e-01 5.246643e+02
## NRP1 3.712439e-01 -1.242638e+02
## ADAM22 3.720791e-01 -4.243359e+02
## ITIH1 3.723749e-01 4.178468e+02
## GUCA1B 3.726982e-01 1.708607e+02
## ADRB1 3.727165e-01 3.336539e+02
## TRPM3 3.728467e-01 -5.340171e+02
## H2AFY 3.728911e-01 -1.897058e+02
## EPHA6 3.730926e-01 4.049439e+02
## ELL 3.732423e-01 -2.469763e+02
## EIF2B2 3.737290e-01 1.874929e+02
## TCERG1 3.739140e-01 -2.769502e+02
## ITGAE 3.741864e-01 -1.515325e+02
## DTWD1 3.746380e-01 1.765452e+02
## SLC12A5 3.748764e-01 -3.025307e+02
## KRT33A 3.749857e-01 -4.293670e+02
## GBE1 3.750549e-01 -1.245143e+02
## MARK1 3.754162e-01 -1.869894e+02
## FMR1 3.757232e-01 -5.270093e+02
## CHAT 3.769376e-01 -4.792236e+02
## SCML1 3.771460e-01 1.192378e+02
## STAG1 3.776063e-01 -2.364983e+02
## CD33 3.780517e-01 -1.636930e+02
## MAP4K5 3.782271e-01 1.751517e+02
## SLC7A14 3.794576e-01 4.783260e+02
## PLXDC2 3.800654e-01 -1.080252e+02
## AGPS 3.804809e-01 -1.041372e+02
## EPAS1 3.805711e-01 -1.011598e+02
## POU6F2 3.808146e-01 4.668430e+02
## ACVR1C 3.812809e-01 -5.386384e+02
## ABCC2 3.821220e-01 -1.901184e+02
## MPP4 3.827027e-01 4.900212e+02
## GPR75 3.828386e-01 -5.231274e+02
## MYLIP 3.830612e-01 1.141847e+02
## MRPS34 3.840871e-01 -1.439898e+02
## LLGL2 3.842182e-01 -1.835176e+02
## NFYC 3.849318e-01 2.067478e+02
## AREG 3.857175e-01 5.199797e+02
## COL19A1 3.862610e-01 5.971228e+02
## TAF9 3.864095e-01 -1.976436e+02
## GRB14 3.864465e-01 -5.614453e+01
## EPHA4 3.866331e-01 -1.302961e+02
## SLC35B3 3.871116e-01 1.622733e+02
## TNR 3.871484e-01 -5.328784e+02
## SNX16 3.874428e-01 1.509018e+02
## C7 3.876502e-01 1.149293e+02
## ZFAT 3.876520e-01 -5.125488e+02
## TFR2 3.884887e-01 -3.724502e+02
## CRYM 3.887464e-01 -1.873464e+02
## NUFIP1 3.893879e-01 -3.661615e+02
## ITFG2 3.897465e-01 1.375398e+02
## MLNR 3.899118e-01 5.446903e+02
## DLST 3.903102e-01 -1.972334e+02
## FERMT2 3.904815e-01 -1.031567e+02
## GYS1 3.905841e-01 2.455155e+02
## TUBE1 3.906169e-01 2.244265e+02
## GOT1 3.907729e-01 -1.538807e+02
## VAPB 3.907748e-01 2.218295e+02
## MCF2L2 3.911030e-01 5.371907e+02
## CACNA1I 3.913688e-01 -1.042331e+02
## SDK2 3.916029e-01 -1.386268e+02
## EFEMP1 3.916109e-01 -5.599576e+01
## MAPK8IP1 3.917766e-01 1.091403e+02
## PPP1R8 3.921333e-01 -1.840055e+02
## ACYP1 3.926143e-01 1.590632e+02
## ERICH1 3.928098e-01 -1.565103e+02
## CDC37 3.933660e-01 1.816209e+02
## PON1 3.939595e-01 3.324706e+02
## SERPIND1 3.945717e-01 4.756785e+02
## DNAI1 3.946848e-01 1.571319e+02
## CLDN16 3.947449e-01 -5.116590e+02
## TTC26 3.948554e-01 -1.877775e+02
## TFDP2 3.952950e-01 -1.715114e+02
## MAPK9 3.957676e-01 -1.318440e+02
## PGF 3.957934e-01 -2.200995e+02
## SAMHD1 3.959362e-01 -3.947462e+02
## PLA2G4A 3.961674e-01 -3.770362e+02
## XRCC5 3.965157e-01 1.530075e+02
## TCFL5 3.965582e-01 -1.421006e+02
## PEX7 3.967438e-01 1.265842e+02
## ABCB5 3.972135e-01 4.895781e+02
## WWC3 3.972177e-01 1.236652e+02
## ISOC1 3.972542e-01 -7.438650e+01
## TRNT1 3.973130e-01 -1.875938e+02
## SET 3.976727e-01 -1.537555e+02
## GJA8 3.977485e-01 -5.410606e+02
## RGS9 3.985613e-01 -5.028878e+02
## FRG1 3.989474e-01 -1.149014e+02
## RNF19B 3.990470e-01 -1.519742e+02
## FRMPD1 3.998303e-01 -2.580794e+02
## EPX 3.999123e-01 -3.981338e+02
## BRMS1L 4.000940e-01 -1.887679e+02
## CYP20A1 4.004159e-01 -1.915811e+02
## RIC8B 4.013454e-01 2.058197e+02
## MYH13 4.017140e-01 -3.919237e+02
## CD37 4.019081e-01 -9.042657e+01
## OPRM1 4.020918e-01 4.147239e+02
## PIK3CB 4.024539e-01 -1.559814e+02
## MGST1 4.024774e-01 -5.627303e+01
## ARCN1 4.032127e-01 -1.626401e+02
## ACADL 4.032912e-01 -1.383008e+02
## KCNK15 4.048666e-01 1.720878e+02
## C20orf85 4.048748e-01 1.566276e+02
## PCDHA6 4.052532e-01 -4.712063e+02
## EIF2B1 4.053670e-01 2.191566e+02
## DNASE1L1 4.056042e-01 1.608347e+02
## SLC13A2 4.059524e-01 -3.616598e+02
## RBM3 4.060621e-01 -1.968388e+02
## DENND3 4.061273e-01 2.050280e+02
## ATP5F1 4.062492e-01 -1.609626e+02
## STYK1 4.063816e-01 -3.130788e+02
## GUCA1A 4.075328e-01 -4.295065e+02
## VIM 4.079230e-01 -9.556407e+01
## UBE2D4 4.083896e-01 1.788544e+02
## PLEKHA8 4.084934e-01 -3.698505e+02
## LARS2 4.091225e-01 2.261872e+02
## ARRDC2 4.091227e-01 1.614024e+02
## CPA1 4.094172e-01 -4.425192e+02
## CRTAM 4.103051e-01 -4.842676e+02
## FGF9 4.109324e-01 -1.284657e+02
## ROS1 4.110571e-01 -4.470101e+02
## CASP10 4.117723e-01 -4.633621e+02
## HVCN1 4.118086e-01 -2.412247e+02
## TELO2 4.124197e-01 1.414064e+02
## CD274 4.126261e-01 -4.436886e+02
## PIGS 4.128847e-01 1.111915e+02
## POU1F1 4.135289e-01 5.249958e+02
## COL10A1 4.139595e-01 -4.737987e+01
## CR2 4.145547e-01 1.329666e+02
## MIOX 4.146286e-01 -5.016906e+02
## TBC1D12 4.147737e-01 4.775912e+02
## PTPN21 4.147908e-01 -2.529650e+02
## EIF3A 4.151389e-01 -1.259903e+02
## CLIP2 4.151965e-01 -1.710628e+02
## TNPO2 4.169985e-01 1.418000e+02
## TBXAS1 4.174415e-01 1.107420e+02
## ARTN 4.176149e-01 1.095856e+02
## NSUN4 4.180558e-01 1.738456e+02
## STX12 4.186285e-01 2.216456e+02
## PTPRS 4.190297e-01 -4.565336e+02
## CTCFL 4.194877e-01 -2.856862e+02
## RRN3 4.197059e-01 -2.092568e+02
## SRCAP 4.198728e-01 2.441904e+02
## XRN1 4.202866e-01 1.627028e+02
## MUC5B 4.206113e-01 3.621981e+02
## CSDE1 4.206536e-01 -2.080786e+02
## CPNE3 4.209215e-01 1.207573e+02
## POLK 4.210410e-01 5.034331e+02
## BRS3 4.211076e-01 4.959079e+02
## ELL2 4.221454e-01 1.260781e+02
## BEST2 4.232385e-01 -3.405773e+02
## EEF1D 4.232981e-01 1.182603e+02
## TRPM7 4.234791e-01 4.499776e+02
## SGSM3 4.238625e-01 1.949291e+02
## GRWD1 4.243313e-01 -2.089680e+02
## IL4 4.245787e-01 -5.136563e+02
## SLC6A7 4.248344e-01 -3.775840e+02
## FGFR2 4.252542e-01 3.653328e+02
## SIRT4 4.254658e-01 2.340414e+02
## EIF3D 4.255228e-01 -1.451976e+02
## RIN3 4.262903e-01 -2.402705e+02
## UQCRC1 4.270568e-01 1.550391e+02
## SMYD1 4.271138e-01 -2.175429e+02
## POLDIP2 4.271486e-01 -1.181720e+02
## DYNLL1 4.278007e-01 -1.523669e+02
## GABRA1 4.283728e-01 5.387544e+02
## NPC2 4.285271e-01 -1.292863e+02
## FABP3 4.287819e-01 -1.406798e+02
## SH3BP1 4.291268e-01 -1.518453e+02
## PGLYRP1 4.291552e-01 -4.629971e+02
## TRIM14 4.292486e-01 -3.841762e+02
## NPPB 4.295150e-01 -5.032171e+02
## GML 4.295219e-01 -3.416054e+02
## PKD2 4.295571e-01 -1.249852e+02
## DHRS2 4.296353e-01 4.460912e+01
## AAK1 4.296964e-01 2.030035e+02
## IL26 4.298895e-01 5.204926e+02
## DDX6 4.301300e-01 -2.893835e+02
## GCAT 4.305934e-01 9.419448e+01
## POLA1 4.310895e-01 -1.861750e+02
## ATXN3 4.310964e-01 1.425905e+02
## DDX54 4.314378e-01 -2.090771e+02
## SSH1 4.316844e-01 2.600207e+02
## TCP11 4.317035e-01 -2.245057e+02
## TFAP2E 4.318665e-01 -3.387685e+02
## RPUSD1 4.322923e-01 -1.418350e+02
## SMPD3 4.323242e-01 -1.909422e+02
## MAG 4.326351e-01 1.331064e+02
## SERPINB3 4.329161e-01 -2.375149e+02
## PRKAG2 4.331911e-01 -1.690080e+02
## ACSM2B 4.331933e-01 -5.916597e+02
## TANC1 4.333759e-01 -1.428926e+02
## IRAK3 4.337127e-01 9.852579e+01
## LUZP4 4.337131e-01 -3.960541e+02
## BARX2 4.339250e-01 -1.103889e+02
## DNAH9 4.339528e-01 5.672139e+02
## CD5 4.343589e-01 -1.489464e+02
## TSHZ3 4.344464e-01 1.061272e+02
## MAPK10 4.347355e-01 -9.673270e+01
## CETP 4.348093e-01 -1.493081e+02
## C14orf166B 4.350040e-01 -3.849960e+02
## ARID3A 4.355980e-01 -1.464067e+02
## EFTUD2 4.360968e-01 1.354602e+02
## APOA5 4.367326e-01 -4.575988e+02
## ZC3H3 4.367757e-01 -1.259411e+02
## BAZ1B 4.370702e-01 -1.619178e+02
## H6PD 4.371600e-01 2.336564e+02
## TAS2R8 4.373299e-01 -4.708974e+02
## RAB9B 4.373869e-01 -2.160715e+02
## H2AFV 4.376268e-01 -3.462387e+02
## CMA1 4.378077e-01 -4.044259e+02
## POLD3 4.380811e-01 -1.671472e+02
## MRPS33 4.382346e-01 -1.278381e+02
## LACTB 4.382647e-01 -1.146868e+02
## WNT5B 4.385475e-01 -1.174687e+02
## TIMM50 4.385684e-01 4.624603e+02
## GEMIN5 4.396490e-01 -2.118151e+02
## IL10RA 4.399469e-01 -1.009489e+02
## ATP10B 4.399632e-01 -2.296867e+02
## L2HGDH 4.400861e-01 1.304915e+02
## RNF170 4.401784e-01 1.398435e+02
## TDP1 4.405006e-01 1.006496e+02
## ADAM28 4.413217e-01 2.459294e+02
## USH1C 4.413661e-01 4.633789e+02
## GRHL2 4.415119e-01 -1.078515e+02
## HACE1 4.423001e-01 -3.081797e+02
## CNTLN 4.425951e-01 -2.546952e+02
## FAM124B 4.428841e-01 2.203827e+02
## NALCN 4.433866e-01 -4.480961e+02
## RAB27B 4.437385e-01 3.991394e+02
## NNAT 4.441341e-01 1.173262e+02
## PLEKHJ1 4.442130e-01 -2.088529e+02
## PABPN1 4.442391e-01 -1.433370e+02
## ST6GALNAC1 4.442872e-01 -1.377213e+02
## DEPDC7 4.447409e-01 -3.775003e+02
## ORMDL2 4.460182e-01 -2.216655e+02
## BDKRB1 4.473052e-01 -2.465512e+02
## CAPZB 4.473465e-01 -1.574971e+02
## PRKD2 4.473950e-01 1.780825e+02
## WAS 4.476381e-01 -8.559099e+01
## STK16 4.478087e-01 -3.186267e+02
## H2BFM 4.479286e-01 -3.030649e+02
## C2orf40 4.481350e-01 5.717369e+01
## UNC50 4.485060e-01 1.724169e+02
## SETD6 4.488123e-01 -2.843649e+02
## HAL 4.488687e-01 -3.159458e+02
## CRISP2 4.498979e-01 -1.454431e+02
## TNPO3 4.502142e-01 -1.145369e+02
## SIX4 4.509414e-01 -7.214348e+01
## CHN2 4.516093e-01 7.661829e+01
## MEOX1 4.516160e-01 9.931653e+01
## SOX30 4.516262e-01 3.626547e+02
## NR4A1 4.524631e-01 -1.981307e+02
## ACSS3 4.526788e-01 3.574595e+02
## PPL 4.529195e-01 -1.159737e+02
## SLC16A7 4.531127e-01 -4.621203e+02
## RANBP3 4.535462e-01 1.759373e+02
## ABCB1 4.538800e-01 1.752756e+02
## MEA1 4.548094e-01 -1.784095e+02
## HPS4 4.552024e-01 1.485398e+02
## NXPH1 4.552742e-01 5.112900e+01
## RPLP0 4.555440e-01 -7.107631e+01
## NDUFB4 4.557213e-01 -3.311104e+02
## COL9A1 4.557731e-01 -1.385283e+02
## BBX 4.558105e-01 -1.141742e+02
## CBLB 4.558616e-01 -1.418602e+02
## NSFL1C 4.561608e-01 1.522855e+02
## FNDC8 4.563022e-01 3.912563e+02
## FDFT1 4.565039e-01 -9.066674e+01
## WAC 4.568262e-01 -1.208313e+02
## SPTB 4.570361e-01 -4.922046e+02
## DIDO1 4.574709e-01 1.626691e+02
## GJB6 4.578745e-01 -2.041654e+02
## UBE2A 4.580267e-01 -1.525264e+02
## LAMC2 4.585893e-01 -6.223987e+01
## NLK 4.597847e-01 1.100108e+02
## GRIN2D 4.602204e-01 3.752814e+02
## ZNF85 4.603739e-01 -3.654246e+02
## UBE2D3 4.605074e-01 -1.523192e+02
## RELB 4.606456e-01 -1.513707e+02
## SEMG2 4.606691e-01 3.738467e+02
## RP2 4.610042e-01 -1.601818e+02
## CYB561 4.611499e-01 -7.878549e+01
## SLC35E4 4.624538e-01 -3.102263e+02
## CRY1 4.628169e-01 -1.511276e+02
## KIAA1432 4.630958e-01 4.315585e+02
## ASF1A 4.632965e-01 1.481811e+02
## SEL1L2 4.637551e-01 3.119577e+02
## DNM1L 4.640653e-01 -1.329634e+02
## WDR47 4.642058e-01 1.797867e+02
## PLG 4.648842e-01 -4.867732e+02
## OR5V1 4.651192e-01 4.581418e+02
## TRAF3IP3 4.659693e-01 -9.120731e+01
## H2BFWT 4.660496e-01 3.553862e+02
## SELK 4.661484e-01 -1.372899e+02
## RTDR1 4.664998e-01 -3.465986e+02
## EFHD1 4.675272e-01 5.175845e+01
## DLGAP4 4.686509e-01 -1.117506e+02
## PDLIM2 4.692420e-01 -4.182703e+02
## CD6 4.700356e-01 -6.857137e+01
## ZFAND6 4.701452e-01 8.388025e+01
## NDUFS8 4.704523e-01 -1.180730e+02
## SGCG 4.708143e-01 1.215544e+02
## NT5C1A 4.709835e-01 4.001322e+02
## ANXA13 4.717692e-01 -2.953292e+02
## ZNF205 4.720002e-01 1.963885e+02
## OR12D3 4.720578e-01 -3.969019e+02
## CD244 4.723070e-01 3.987412e+02
## SLC19A2 4.724281e-01 3.881400e+02
## CD79A 4.728354e-01 -4.473529e+01
## DLX2 4.729502e-01 3.992646e+02
## STX1A 4.733696e-01 -8.925771e+01
## DOK1 4.734000e-01 -3.079287e+02
## GNRHR 4.734102e-01 -3.907507e+02
## GNA15 4.736037e-01 -8.807797e+01
## POLDIP3 4.736405e-01 1.606789e+02
## PDGFB 4.738014e-01 -9.848559e+01
## WBP11 4.748993e-01 -1.170678e+02
## MTIF3 4.750603e-01 1.556038e+02
## RDH8 4.756346e-01 -4.092653e+02
## NUDT10 4.757351e-01 -3.256274e+02
## LAMB4 4.761227e-01 -4.032066e+02
## RPL24 4.761825e-01 -1.210241e+02
## TMEM39B 4.766960e-01 -1.761116e+02
## TBL1X 4.771840e-01 8.602077e+01
## MIER2 4.776376e-01 -2.213629e+02
## ETV2 4.776517e-01 -2.230620e+02
## CHRDL2 4.781921e-01 -1.716413e+02
## ZNF541 4.784835e-01 1.171668e+02
## PFDN1 4.798361e-01 1.774606e+02
## GCK 4.800205e-01 -4.468035e+02
## RHBDD3 4.803703e-01 -1.522703e+02
## RPA3 4.803850e-01 -9.487074e+01
## DERL2 4.811175e-01 -1.579061e+02
## SMAP1 4.814437e-01 -1.363769e+02
## HIST1H4G 4.817679e-01 3.863815e+02
## UPK3A 4.819385e-01 3.135008e+02
## RPS6KB1 4.820030e-01 8.954606e+01
## PYCRL 4.826997e-01 -1.696569e+02
## HGFAC 4.836262e-01 3.215249e+02
## CAMKK2 4.838210e-01 1.995681e+02
## MYL2 4.839248e-01 4.179758e+02
## RANGRF 4.839639e-01 -3.380999e+02
## RNF11 4.841042e-01 -1.402987e+02
## PHKB 4.843959e-01 -1.184433e+02
## RUNDC3A 4.845014e-01 7.407496e+01
## SPAG4 4.845616e-01 -9.629409e+01
## CAMKK1 4.853637e-01 4.615972e+02
## GCN1L1 4.854207e-01 -1.305497e+02
## GNPNAT1 4.862111e-01 -1.870445e+02
## OSTM1 4.863386e-01 -1.420317e+02
## MYL6 4.867207e-01 -1.356681e+02
## CEACAM4 4.877134e-01 -4.348853e+02
## LTK 4.877287e-01 3.567714e+02
## LTF 4.879725e-01 2.858178e+01
## CDH7 4.880690e-01 -2.088120e+02
## YWHAE 4.888289e-01 1.175608e+02
## XYLB 4.897254e-01 1.195845e+02
## IL2 4.914218e-01 4.282324e+02
## SNX13 4.916610e-01 -1.489861e+02
## SLC1A2 4.917931e-01 1.632498e+02
## CHERP 4.918183e-01 -1.734259e+02
## STARD7 4.918730e-01 -1.403638e+02
## HNRNPL 4.922255e-01 -1.293122e+02
## NBPF14 4.922558e-01 1.315710e+02
## NPHS2 4.930740e-01 -3.517671e+02
## TACR1 4.936817e-01 4.388164e+02
## KCNJ8 4.937286e-01 -1.093429e+02
## PITPNM3 4.937874e-01 -4.545651e+02
## CD9 4.940214e-01 -7.464686e+01
## FGF8 4.955348e-01 4.823741e+02
## PCDHB5 4.965591e-01 -8.779243e+01
## MOGAT1 4.969479e-01 -1.935464e+02
## NOTCH3 4.981939e-01 -8.315359e+01
## SLC27A6 4.983280e-01 -3.112790e+02
## METTL2A 4.994331e-01 1.458678e+02
## TBL2 5.003514e-01 -1.416631e+02
## CPSF6 5.006261e-01 -2.628543e+02
## TNP1 5.015053e-01 -3.508135e+02
## PSEN1 5.023627e-01 -1.963100e+02
## FETUB 5.027809e-01 -3.639309e+02
## LPIN2 5.033278e-01 -1.463783e+02
## HS1BP3 5.034368e-01 -1.371217e+02
## TBX5 5.035579e-01 5.296480e+02
## ARFRP1 5.039098e-01 -2.253745e+02
## NR2C1 5.040122e-01 1.869789e+02
## CDX1 5.040563e-01 -2.986182e+02
## CDH17 5.045147e-01 -3.714619e+02
## SGIP1 5.052450e-01 1.027807e+02
## HOXA7 5.056977e-01 -2.815930e+02
## APC2 5.066767e-01 3.890664e+02
## C2orf43 5.069303e-01 -1.365266e+02
## FBXO2 5.073654e-01 6.186058e+01
## TRIOBP 5.076019e-01 -1.209058e+02
## SEMA5B 5.078939e-01 -1.924522e+02
## GRAMD4 5.082735e-01 1.160357e+02
## SH3GL2 5.082735e-01 1.131492e+02
## LHX4 5.084234e-01 -3.318336e+02
## ATP1A3 5.086704e-01 3.768559e+02
## TFPI2 5.089572e-01 8.541450e+01
## MMP11 5.093045e-01 -3.788791e+01
## TFE3 5.104912e-01 -2.544499e+02
## PARD3B 5.107605e-01 -4.575057e+02
## PIK3CG 5.114541e-01 1.381675e+02
## TRIM37 5.124353e-01 1.025672e+02
## SLC12A1 5.126803e-01 3.823996e+02
## NFE2 5.140666e-01 1.223347e+02
## PGS1 5.141550e-01 1.256480e+02
## ADAM23 5.146949e-01 -3.464006e+02
## TCF20 5.147284e-01 -1.057860e+02
## FUNDC1 5.154603e-01 -8.989611e+01
## MYH7B 5.160573e-01 -3.700088e+02
## CLDN18 5.161459e-01 -3.106353e+02
## HAO2 5.163847e-01 -2.749486e+02
## UPF1 5.165004e-01 1.231220e+02
## A4GNT 5.170768e-01 3.123447e+02
## MEP1A 5.175002e-01 -2.791380e+02
## RWDD3 5.181086e-01 1.439077e+02
## PRPF3 5.184821e-01 1.015214e+02
## FAM65A 5.191027e-01 1.165527e+02
## PLEKHG2 5.200505e-01 -1.508634e+02
## UBE2W 5.204338e-01 -1.291486e+02
## ZFP30 5.217514e-01 -1.211596e+02
## POLE4 5.217783e-01 -9.585527e+01
## UNC5CL 5.218176e-01 2.756059e+02
## SLC10A7 5.220414e-01 -1.576013e+02
## CHRAC1 5.222932e-01 1.377857e+02
## FARSB 5.227148e-01 2.920208e+02
## ARFGEF1 5.228766e-01 9.711263e+01
## SNAPC1 5.239496e-01 9.618549e+01
## PRSS33 5.243471e-01 -1.388264e+02
## TRIB2 5.246219e-01 -6.820458e+01
## CD22 5.248753e-01 2.030266e+02
## HECW1 5.261608e-01 3.557549e+02
## ALX4 5.262085e-01 3.415259e+02
## NLRP1 5.274560e-01 3.341870e+02
## KPNB1 5.278956e-01 -1.208238e+02
## ANGPT4 5.293376e-01 3.308765e+02
## LRAT 5.294235e-01 -2.940888e+02
## AACS 5.300740e-01 8.264488e+01
## GABARAPL2 5.306988e-01 -8.908149e+01
## DDX49 5.307774e-01 -1.873749e+02
## BLVRA 5.312820e-01 6.699189e+01
## QPCTL 5.314911e-01 1.991034e+02
## CRYBB1 5.318470e-01 3.327713e+02
## EIF5 5.318990e-01 9.259802e+01
## PTPN18 5.329728e-01 -2.619886e+02
## BCS1L 5.336721e-01 -1.479030e+02
## CDH9 5.342481e-01 3.398907e+02
## RAPGEF1 5.345624e-01 1.246612e+02
## PRKAR2B 5.348180e-01 3.365977e+02
## SMARCA1 5.356919e-01 6.211023e+01
## KCNK16 5.365633e-01 -2.240010e+02
## MYO16 5.373197e-01 2.105004e+02
## TMPRSS11E 5.373811e-01 3.707846e+02
## ZC3H11A 5.377458e-01 -2.799016e+02
## FUBP3 5.378355e-01 -1.124479e+02
## PMS2 5.387459e-01 -1.339985e+02
## GLTSCR1 5.390895e-01 1.593410e+02
## LRRFIP2 5.396752e-01 9.150462e+01
## ELMO3 5.396918e-01 -8.713449e+01
## TRPV4 5.401755e-01 -1.714781e+02
## PHF20 5.403441e-01 1.224514e+02
## NFKBIA 5.405040e-01 -9.253260e+01
## SYNGR2 5.414720e-01 -2.476731e+02
## CEACAM21 5.421302e-01 3.156750e+02
## IL17F 5.423136e-01 -3.170214e+02
## TGFB1 5.433108e-01 3.379277e+02
## CAT 5.445483e-01 7.462446e+01
## SLC35F5 5.451363e-01 -1.072137e+02
## COL12A1 5.455534e-01 5.080793e+01
## FAM126A 5.459065e-01 -3.223879e+02
## ALG1 5.460074e-01 1.158370e+02
## MAGEB2 5.460144e-01 -1.456346e+02
## GPR133 5.477574e-01 3.977005e+02
## TRIP6 5.478809e-01 6.000090e+01
## COL7A1 5.480434e-01 -5.412819e+01
## HIRA 5.482858e-01 -2.702714e+02
## NPTX2 5.484701e-01 -8.194296e+01
## GLP1R 5.488465e-01 -3.334659e+02
## SRP54 5.502304e-01 1.037100e+02
## PDE8B 5.504777e-01 4.823205e+01
## PVALB 5.525235e-01 2.626239e+01
## NUBP2 5.525269e-01 1.285250e+02
## RGP1 5.529331e-01 -2.649791e+02
## FASTKD3 5.530000e-01 -1.459663e+02
## ATP6V1A 5.537064e-01 -1.389840e+02
## PTPRN 5.539136e-01 -1.677277e+02
## TFAP4 5.541280e-01 -1.672767e+02
## MYCT1 5.548532e-01 -1.848028e+02
## RIOK2 5.553459e-01 -1.158970e+02
## GAB1 5.553745e-01 -2.270333e+02
## HOMER2 5.554518e-01 5.603363e+01
## LGI1 5.555163e-01 1.454217e+02
## SCMH1 5.564408e-01 -1.014687e+02
## KCTD9 5.566200e-01 -1.081478e+02
## KCNT1 5.567586e-01 -8.982970e+01
## RCOR1 5.567690e-01 3.768660e+02
## ARHGEF10L 5.568988e-01 -2.393664e+02
## TMED1 5.571676e-01 -1.269302e+02
## RAD1 5.580790e-01 -1.491793e+02
## SMG7 5.583301e-01 -1.029063e+02
## PAPPA2 5.585893e-01 4.424352e+02
## CNTN1 5.593532e-01 -8.812377e+01
## SUFU 5.594126e-01 2.552151e+02
## PRX 5.594648e-01 3.998723e+02
## RRP12 5.599192e-01 -1.188110e+02
## ACOT2 5.604459e-01 8.275770e+01
## SMC3 5.613851e-01 -1.243051e+02
## NFAT5 5.617287e-01 8.076730e+01
## ZNF576 5.624744e-01 -1.639550e+02
## KATNAL1 5.628067e-01 1.330561e+02
## NUDC 5.628106e-01 1.264667e+02
## SUPT6H 5.630609e-01 1.141582e+02
## MYOG 5.636096e-01 -2.407775e+02
## VTI1B 5.636936e-01 -1.293405e+02
## ZRANB3 5.639667e-01 3.383964e+02
## SCFD1 5.651209e-01 -1.417785e+02
## FRMD4B 5.662092e-01 2.577202e+02
## IL1RL2 5.664063e-01 3.210618e+02
## NECAB2 5.666124e-01 3.076209e+02
## ALDH8A1 5.666370e-01 1.806954e+02
## MCOLN3 5.673896e-01 -8.951644e+01
## SLA2 5.674404e-01 -1.461178e+02
## KLHL24 5.678169e-01 -9.035555e+01
## KPTN 5.679920e-01 2.816683e+02
## ZCCHC8 5.691582e-01 1.348589e+02
## ST3GAL6 5.692954e-01 -1.041141e+02
## SYNGR4 5.694564e-01 -1.541500e+02
## DHCR24 5.696561e-01 5.486173e+01
## MOSPD3 5.705690e-01 1.433234e+02
## WRNIP1 5.715204e-01 -1.181822e+02
## OPRK1 5.717318e-01 -2.258378e+02
## PPM1H 5.721161e-01 5.748813e+01
## BFAR 5.725082e-01 -1.267965e+02
## CYP24A1 5.732062e-01 1.213986e+02
## DCTN6 5.744332e-01 7.369019e+01
## MYH7 5.754445e-01 3.062585e+02
## WNT8B 5.758838e-01 2.796471e+02
## GRAMD1A 5.761524e-01 9.391528e+01
## MMP8 5.765876e-01 -3.425195e+02
## HOXA6 5.767400e-01 1.388492e+02
## GNAO1 5.767509e-01 1.151940e+02
## SKIV2L2 5.775829e-01 -1.040700e+02
## EIF4G2 5.777081e-01 -1.160595e+02
## MYO15A 5.781599e-01 -2.667647e+02
## PTGFR 5.781853e-01 -2.068327e+02
## ZXDC 5.782396e-01 1.312525e+02
## CUL7 5.783273e-01 -1.985287e+02
## BLMH 5.783480e-01 8.042436e+01
## SEZ6 5.789203e-01 1.049413e+02
## LYRM2 5.791875e-01 9.300407e+01
## FBXO42 5.796323e-01 -1.602938e+02
## USP28 5.800275e-01 -3.223071e+02
## PCDHB14 5.801381e-01 -3.105783e+02
## RNF216 5.802289e-01 -1.427996e+02
## ATRX 5.803557e-01 -2.250987e+02
## PRDM4 5.806070e-01 -1.114269e+02
## XPNPEP2 5.810290e-01 -2.602723e+02
## TGFBR1 5.814688e-01 2.347924e+02
## MED31 5.815329e-01 2.603970e+02
## FAM135A 5.826528e-01 -1.377758e+02
## RAD18 5.828459e-01 3.612323e+02
## FLT3LG 5.832800e-01 1.048025e+02
## SNX11 5.834909e-01 1.028991e+02
## HOXC8 5.840126e-01 6.118157e+01
## LGALS8 5.840597e-01 6.329853e+01
## ZC3HC1 5.844857e-01 -1.410917e+02
## MEFV 5.845289e-01 3.540630e+02
## USH2A 5.845316e-01 -3.598712e+02
## NUP188 5.845626e-01 -1.036388e+02
## DNASE2 5.846490e-01 1.038496e+02
## OPN4 5.846969e-01 -3.999920e+02
## REXO1 5.851567e-01 -1.232449e+02
## SIRT6 5.859140e-01 -2.346913e+02
## CEACAM6 5.869101e-01 1.764110e+01
## ITPR3 5.884192e-01 -7.347301e+01
## RASGRP2 5.885307e-01 -1.177402e+02
## DTNBP1 5.886171e-01 -1.532097e+02
## PEX16 5.887231e-01 -1.056420e+02
## KCNK2 5.901903e-01 7.136692e+01
## SERTAD4 5.904571e-01 -5.031395e+01
## CHPF 5.905599e-01 6.362524e+01
## ISL1 5.906558e-01 1.212530e+02
## GRM6 5.906851e-01 3.241109e+02
## FSCN3 5.911907e-01 -3.481545e+02
## TNMD 5.912360e-01 9.195222e+01
## ABCC6 5.913794e-01 -1.205469e+02
## PACSIN2 5.914386e-01 8.202556e+01
## ZNF330 5.914986e-01 1.217082e+02
## NUP98 5.915730e-01 -1.626796e+02
## FBXO9 5.917676e-01 1.164929e+02
## CPZ 5.920354e-01 -7.684799e+01
## DOK5 5.925527e-01 -1.678943e+02
## GJA3 5.928273e-01 -2.799658e+02
## LEPROTL1 5.946123e-01 -9.073603e+01
## WSB1 5.953698e-01 7.415964e+01
## MYL7 5.962272e-01 -1.184056e+02
## FLT1 5.962343e-01 -3.127739e+02
## F9 5.962521e-01 3.198906e+02
## KIAA0100 5.965860e-01 -1.147595e+02
## GHR 5.966795e-01 4.710552e+01
## HTR2A 5.967779e-01 -1.207081e+02
## TMEM87A 5.968127e-01 8.969127e+01
## EDF1 5.968344e-01 1.031106e+02
## CSPP1 5.968388e-01 7.693872e+01
## GLIS3 5.970298e-01 -8.097343e+01
## MED20 5.970708e-01 -1.041023e+02
## PPP1R13L 5.980619e-01 8.145301e+01
## CNOT6 5.982701e-01 -9.673344e+01
## FGF21 5.987038e-01 2.558358e+02
## NOS1 5.988941e-01 3.154058e+02
## KIAA0586 5.989366e-01 1.272194e+02
## DOCK8 5.990291e-01 -8.124068e+01
## RAD51C 5.993655e-01 -6.055727e+01
## FKBP3 5.995095e-01 -5.770504e+01
## HHATL 5.997108e-01 -2.143188e+02
## NECAB1 5.997884e-01 -1.497572e+02
## UBN1 6.005461e-01 8.397371e+01
## MTMR7 6.006452e-01 1.564083e+02
## RHOBTB1 6.009487e-01 1.658799e+02
## TNS1 6.018222e-01 -1.158912e+02
## ATP6V1H 6.019942e-01 -7.635228e+01
## PPY 6.026043e-01 -3.270031e+02
## ARHGEF1 6.027031e-01 -1.118065e+02
## CKM 6.032154e-01 -2.250978e+02
## PPP2CB 6.040660e-01 -6.885194e+01
## CPE 6.055386e-01 4.531351e+01
## FOXN1 6.058749e-01 -2.639566e+02
## LY9 6.063775e-01 -1.119749e+02
## STK24 6.063784e-01 -9.880289e+01
## WNT8A 6.068619e-01 -3.294546e+02
## PLLP 6.076517e-01 6.529162e+01
## HHLA2 6.100968e-01 -2.993570e+02
## SEC14L5 6.102070e-01 1.007276e+02
## AIP 6.104467e-01 -8.634195e+01
## ATP1B4 6.109096e-01 2.935453e+02
## TRIM67 6.117460e-01 2.290606e+02
## SLC35A3 6.117718e-01 6.966170e+01
## SLC5A4 6.127292e-01 2.751875e+02
## ALG5 6.131531e-01 7.394862e+01
## PEBP1 6.135243e-01 7.126097e+01
## MYF6 6.144604e-01 -1.107237e+02
## MT4 6.145075e-01 2.290215e+02
## OTUB2 6.145327e-01 -1.497118e+02
## CLEC4A 6.145919e-01 -8.720504e+01
## RPGRIP1 6.146303e-01 1.598276e+02
## EML1 6.149520e-01 7.842361e+01
## SLC17A2 6.149946e-01 -2.772806e+02
## DNAJA3 6.153997e-01 8.849936e+01
## ST8SIA5 6.157380e-01 -1.828251e+02
## CACNG3 6.158539e-01 -2.908814e+02
## PYGL 6.159012e-01 4.461065e+01
## MAN2B1 6.168019e-01 -8.781156e+01
## B4GALT1 6.169427e-01 6.525818e+01
## CPSF1 6.169979e-01 6.945718e+01
## PIK3C3 6.177605e-01 -1.377375e+02
## SLC25A24 6.182644e-01 7.050974e+01
## ARHGAP21 6.185571e-01 -7.279970e+01
## ZRANB1 6.187122e-01 -9.861922e+01
## GOT2 6.193067e-01 -7.093198e+01
## KNG1 6.194984e-01 -2.957748e+02
## AQP8 6.196847e-01 1.710892e+02
## FBXL4 6.198502e-01 -2.868159e+02
## EPN1 6.199236e-01 9.961270e+01
## C4BPB 6.204230e-01 8.270297e+01
## BCL2L13 6.212225e-01 9.546926e+01
## F11 6.213594e-01 -2.797398e+02
## RIMS4 6.217883e-01 5.471339e+01
## DNTTIP2 6.225143e-01 2.464385e+02
## CCL24 6.228913e-01 -3.294891e+02
## CS 6.234029e-01 -1.053632e+02
## GZMK 6.242041e-01 -3.164679e+01
## ASB4 6.243540e-01 -3.117478e+02
## CLEC11A 6.243999e-01 5.608701e+01
## MLX 6.247968e-01 -1.033200e+02
## PQLC2 6.252725e-01 -2.376672e+02
## DVL1 6.254389e-01 -1.600836e+02
## AK1 6.262773e-01 -9.015372e+01
## EXOSC7 6.263741e-01 -1.118497e+02
## FKBP4 6.271575e-01 5.269887e+01
## RIMS3 6.275056e-01 -6.091164e+01
## SBNO2 6.278434e-01 -1.035366e+02
## DSG2 6.278836e-01 -6.351585e+01
## KLF8 6.283966e-01 1.372988e+02
## SLC9A3 6.285703e-01 2.447845e+02
## AP3B2 6.289105e-01 -6.937499e+01
## GMEB2 6.294204e-01 -9.991874e+01
## RNF146 6.299544e-01 -9.413306e+01
## CD40LG 6.310111e-01 -1.693287e+02
## CCND2 6.310173e-01 5.129647e+01
## PCK2 6.311625e-01 -6.481126e+01
## BET1 6.321535e-01 -8.912090e+01
## TBP 6.322327e-01 -1.161000e+02
## VPS26A 6.327242e-01 -1.160632e+02
## GTF3A 6.330835e-01 -8.227056e+01
## CCAR1 6.331356e-01 -2.034078e+02
## WDR75 6.333551e-01 8.066199e+01
## PRODH 6.334231e-01 2.874469e+01
## ZNF195 6.335007e-01 -1.166214e+02
## KCNK17 6.336417e-01 7.271748e+01
## PLAGL1 6.349969e-01 -9.031074e+01
## CTTN 6.351566e-01 5.748034e+01
## TRAPPC3 6.353650e-01 9.935712e+01
## VAT1 6.362419e-01 8.346238e+01
## TAF1C 6.366413e-01 -7.626485e+01
## RS1 6.367408e-01 -2.639296e+02
## SNW1 6.370866e-01 1.387807e+02
## TCF21 6.371063e-01 3.354320e+02
## ERMP1 6.377471e-01 6.608637e+01
## RPS13 6.379207e-01 7.207771e+01
## TAF12 6.382683e-01 -9.338924e+01
## LYZL1 6.384948e-01 2.539935e+02
## SCD 6.387386e-01 -3.288079e+01
## GDAP1L1 6.388676e-01 2.403652e+02
## ELMOD1 6.394157e-01 2.339315e+02
## APBA1 6.397465e-01 3.386904e+02
## ST6GALNAC5 6.405198e-01 -7.561159e+01
## GMDS 6.407246e-01 -4.924180e+01
## DAO 6.407507e-01 2.708037e+02
## ACP5 6.407904e-01 -4.558391e+01
## ADSS 6.419330e-01 7.175240e+01
## SUDS3 6.419865e-01 -2.054968e+02
## HLF 6.420690e-01 1.511017e+02
## NGEF 6.422029e-01 -1.053032e+02
## PRMT5 6.429926e-01 -9.293759e+01
## GRK7 6.431469e-01 -2.409063e+02
## TBC1D25 6.432354e-01 -1.823729e+02
## NARFL 6.433392e-01 1.238776e+02
## TMEM33 6.438278e-01 1.098450e+02
## CFHR3 6.439239e-01 -3.011471e+02
## AKAP3 6.451498e-01 2.284630e+02
## CDH26 6.451689e-01 -2.288712e+02
## SI 6.453411e-01 -2.767938e+02
## NOD1 6.455974e-01 -1.175170e+02
## NEU2 6.460422e-01 2.998082e+02
## CTTNBP2 6.462579e-01 1.939500e+02
## PCDH11Y 6.477574e-01 -3.232841e+02
## COX6A1 6.478291e-01 -7.632279e+01
## PNN 6.484017e-01 -9.219350e+01
## IL12B 6.487079e-01 -2.754018e+02
## FBXO30 6.489928e-01 9.259690e+01
## DPPA4 6.500244e-01 -2.836789e+02
## SELE 6.502544e-01 -6.557608e+01
## DIP2B 6.507408e-01 -9.357626e+01
## PRKAR2A 6.512036e-01 -1.184625e+02
## REM1 6.522942e-01 -1.028759e+02
## NDUFB2 6.526315e-01 -8.061427e+01
## FBXW11 6.529266e-01 -1.012280e+02
## DNTT 6.533369e-01 1.392589e+02
## OSGEP 6.536313e-01 1.056290e+02
## MYO9B 6.537814e-01 8.681387e+01
## CNOT2 6.556520e-01 7.909312e+01
## SPCS2 6.556690e-01 -5.493362e+01
## SPO11 6.558025e-01 -2.590709e+02
## MORF4L2 6.566119e-01 -5.054053e+01
## PAPD5 6.572967e-01 -5.824938e+01
## COL20A1 6.573755e-01 1.827831e+02
## PTBP1 6.577258e-01 8.891373e+01
## C10orf88 6.578889e-01 1.417865e+02
## ST8SIA4 6.579595e-01 -1.339157e+02
## GPATCH1 6.579866e-01 -9.874470e+01
## KLF9 6.580737e-01 -5.853355e+01
## MAST1 6.582115e-01 1.299526e+02
## AKR1A1 6.585958e-01 -7.806632e+01
## OBFC1 6.588049e-01 7.348550e+01
## IFNA8 6.588499e-01 -6.865330e+01
## MYL9 6.589054e-01 -5.105913e+01
## CPXM2 6.589456e-01 4.209038e+01
## SYDE2 6.589495e-01 -1.496141e+02
## LGALS13 6.596133e-01 -2.026541e+02
## ABL1 6.600927e-01 8.170715e+01
## KIAA0391 6.616216e-01 8.855383e+01
## SLC12A3 6.626669e-01 2.174941e+02
## COX10 6.639583e-01 -9.682368e+01
## ZBTB24 6.644890e-01 9.800859e+01
## PCOLCE 6.647519e-01 -4.227626e+01
## PACRG 6.654335e-01 -2.262009e+02
## KANK1 6.658550e-01 -4.812450e+01
## UPRT 6.659077e-01 -9.287884e+01
## TPR 6.660521e-01 7.623923e+01
## C5orf22 6.661453e-01 -1.314943e+02
## TBCB 6.664354e-01 7.453337e+01
## MAP4K1 6.672019e-01 -4.475344e+01
## DCT 6.678445e-01 2.718785e+02
## REST 6.678525e-01 1.845097e+02
## ICK 6.688874e-01 9.114954e+01
## NCKAP1 6.695869e-01 -6.516897e+01
## AMPH 6.697443e-01 4.279206e+01
## FAP 6.700963e-01 -3.940018e+01
## RP1 6.707193e-01 2.987405e+02
## ZFYVE21 6.717463e-01 -6.399808e+01
## TOM1 6.722318e-01 7.240227e+01
## STK25 6.728315e-01 1.000451e+02
## ECH1 6.741913e-01 6.420736e+01
## UFM1 6.743761e-01 7.033505e+01
## POU4F3 6.747323e-01 2.341062e+02
## KIF1B 6.750876e-01 -7.360812e+01
## SERINC1 6.751940e-01 6.700507e+01
## NECAP1 6.754272e-01 7.312855e+01
## DLX3 6.755328e-01 -5.958498e+01
## OPHN1 6.760051e-01 -1.896438e+02
## HEXB 6.764480e-01 9.136082e+01
## CGB2 6.766672e-01 2.504371e+02
## LIM2 6.767794e-01 2.096384e+02
## CNOT1 6.774152e-01 -7.349739e+01
## OSBPL6 6.776704e-01 7.797208e+01
## MID2 6.782433e-01 -9.612419e+01
## MPV17 6.787391e-01 -1.012505e+02
## CASS4 6.789855e-01 -2.399742e+02
## PLXND1 6.793140e-01 -1.261369e+02
## TACR2 6.795051e-01 -1.657832e+02
## EEF1B2 6.799033e-01 -7.202591e+01
## EFNB1 6.799480e-01 8.416232e+01
## ART4 6.806089e-01 -8.941756e+01
## FKBP1B 6.807738e-01 -1.723118e+02
## NDUFS1 6.809331e-01 -1.234606e+02
## BTN2A2 6.813184e-01 1.371183e+02
## GP6 6.820023e-01 1.954723e+02
## NR4A3 6.822165e-01 9.293653e+01
## STON1-GTF2A1L 6.823774e-01 -2.228749e+02
## MAP2K3 6.826964e-01 -7.729250e+01
## ZCCHC17 6.827121e-01 -8.716632e+01
## SLC9A3R2 6.833554e-01 -7.003350e+01
## LRMP 6.833803e-01 6.075672e+01
## DPH5 6.835646e-01 -8.319245e+01
## APOBEC1 6.837694e-01 2.219954e+02
## OSBPL9 6.838228e-01 7.212948e+01
## IMPG1 6.846249e-01 -2.896003e+02
## FGFR1OP2 6.847447e-01 -1.265209e+02
## SCYL3 6.848782e-01 7.258642e+01
## DNAJC6 6.851641e-01 -2.641779e+02
## MLANA 6.853644e-01 -2.538319e+02
## STMN2 6.855776e-01 5.297670e+01
## CEP76 6.857545e-01 2.034130e+02
## NKAIN4 6.859075e-01 -2.331395e+02
## RNMT 6.859902e-01 -8.175184e+01
## AKT2 6.865327e-01 -1.465547e+02
## EPB41L3 6.869643e-01 4.494654e+01
## GRB10 6.872632e-01 -6.760884e+01
## SLC35D1 6.880068e-01 2.025564e+02
## LEPRE1 6.880250e-01 -6.939926e+01
## METTL8 6.891449e-01 2.574380e+02
## HSPA9 6.903981e-01 7.106213e+01
## IQSEC3 6.907334e-01 1.819426e+02
## PSG8 6.920675e-01 -2.156417e+02
## CCL1 6.923301e-01 -1.733700e+02
## NTHL1 6.932327e-01 -5.129916e+01
## C6orf62 6.940956e-01 -7.182246e+01
## CNOT3 6.954826e-01 7.795176e+01
## CACNB1 6.966621e-01 1.789794e+02
## GNB1 6.967343e-01 8.894695e+01
## HSPB1 6.973330e-01 3.917176e+01
## ZNRD1 6.981162e-01 -8.312942e+01
## NFKB2 6.984606e-01 -8.502926e+01
## CDV3 6.985054e-01 -5.570515e+01
## PROCR 6.988862e-01 -9.192232e+01
## ZNHIT3 6.991710e-01 5.711126e+01
## TAC1 6.993052e-01 1.689428e+02
## KCNN2 6.993173e-01 -1.304390e+02
## GSC2 6.994283e-01 -2.074675e+02
## RAB22A 7.001921e-01 6.496429e+01
## CREBL2 7.015726e-01 -1.773800e+02
## PDE1B 7.021904e-01 1.261766e+02
## ITIH5 7.024067e-01 8.008447e+01
## DNAL1 7.029819e-01 -9.539798e+01
## DIS3 7.030903e-01 1.484934e+02
## LIG1 7.037638e-01 -7.255493e+01
## GGT5 7.039881e-01 1.015300e+02
## ARX 7.041819e-01 -1.160200e+02
## GPR83 7.046593e-01 -8.081117e+01
## PHACTR3 7.048619e-01 7.999366e+01
## LY86 7.050658e-01 4.630395e+01
## TKTL1 7.052144e-01 -1.524588e+02
## ZP4 7.052401e-01 -1.536547e+02
## AMPD1 7.053670e-01 -9.003584e+01
## KCTD10 7.061635e-01 5.314052e+01
## TUSC3 7.068059e-01 -3.021264e+01
## PCDHB12 7.070526e-01 1.178615e+02
## NRCAM 7.071144e-01 6.902758e+01
## FOXRED2 7.075326e-01 -4.824577e+01
## MRPL27 7.076056e-01 4.486311e+01
## CLCN3 7.081246e-01 -7.918619e+01
## DHX35 7.082274e-01 1.190940e+02
## APOL1 7.085216e-01 1.205902e+02
## RASL10A 7.089067e-01 4.837271e+01
## ZNRF4 7.091517e-01 1.671117e+02
## PTGIS 7.098619e-01 3.839646e+01
## ZNF586 7.109045e-01 -7.091441e+01
## RASGRF2 7.112129e-01 1.942629e+02
## NAALAD2 7.115381e-01 1.172541e+02
## TMEM14C 7.127099e-01 -7.671882e+01
## HGD 7.127364e-01 3.411306e+01
## ZNF821 7.131154e-01 -9.235566e+01
## MTMR8 7.135117e-01 1.974444e+02
## VTN 7.167521e-01 -8.138002e+01
## SMG6 7.168089e-01 1.949828e+02
## TLL2 7.176446e-01 2.144313e+02
## RPL28 7.178271e-01 -4.874322e+01
## CLCN4 7.191577e-01 -1.613993e+02
## COIL 7.194212e-01 -6.361183e+01
## GNAT1 7.196544e-01 -1.473618e+02
## SUPT16H 7.197260e-01 6.703292e+01
## ABCC3 7.197389e-01 2.683172e+01
## ACTN1 7.198636e-01 4.280340e+01
## FCER2 7.206171e-01 9.467252e+01
## RIOK3 7.206923e-01 -7.394790e+01
## ARHGAP4 7.209908e-01 5.040914e+01
## PRPH2 7.222826e-01 1.261135e+02
## RPL19 7.227668e-01 -5.435368e+01
## CBLN1 7.228220e-01 1.048532e+02
## PRUNE2 7.238933e-01 -1.708531e+02
## APBB1IP 7.241744e-01 4.873068e+01
## GPR50 7.242741e-01 -2.024611e+02
## E2F1 7.244336e-01 -1.645569e+02
## BNIP1 7.246227e-01 -8.577733e+01
## MBTPS2 7.253236e-01 -1.100501e+02
## TXN2 7.256598e-01 1.046552e+02
## SPP2 7.257943e-01 -1.867273e+02
## MARK2 7.260335e-01 -5.284737e+01
## HOXA9 7.263712e-01 -3.563527e+01
## HDHD3 7.284094e-01 -7.431816e+01
## UIMC1 7.294319e-01 7.241619e+01
## ZNF639 7.301291e-01 -1.845178e+02
## SARS2 7.303658e-01 -7.124210e+01
## MMP2 7.305842e-01 6.493862e+01
## MOGAT3 7.306225e-01 2.077925e+02
## ABCC1 7.307410e-01 -7.534947e+01
## DGKG 7.317280e-01 -1.848424e+02
## ETHE1 7.320948e-01 1.216707e+02
## PDZD11 7.321522e-01 1.732512e+02
## RALBP1 7.321962e-01 7.268713e+01
## PRB2 7.324252e-01 -1.173745e+02
## ZNF8 7.327254e-01 1.769153e+02
## ALS2 7.332364e-01 8.335945e+01
## TUBB1 7.333256e-01 1.603170e+02
## CD74 7.337454e-01 3.661902e+01
## SASH1 7.370811e-01 3.654769e+01
## NOL4 7.373095e-01 8.048820e+01
## ZDHHC2 7.377331e-01 1.516172e+02
## APOBEC3H 7.377686e-01 -7.521206e+01
## ABLIM1 7.385057e-01 -3.637540e+01
## ALOX12 7.396800e-01 -1.168936e+02
## SEC14L3 7.398850e-01 -1.889516e+02
## DDX59 7.402220e-01 7.029328e+01
## STX16 7.407569e-01 5.189197e+01
## PIP5K1B 7.413798e-01 1.042913e+02
## FZD10 7.416604e-01 -1.775057e+02
## ATP11A 7.422294e-01 -1.971452e+02
## ENG 7.428574e-01 -5.334920e+01
## CORO2B 7.436798e-01 1.385047e+02
## MXD1 7.437632e-01 5.592034e+01
## MREG 7.437726e-01 6.905195e+01
## DUSP13 7.443260e-01 -1.603755e+02
## SLC10A1 7.449333e-01 -1.669316e+02
## SLCO1B3 7.449801e-01 -1.667476e+02
## TRPM6 7.451025e-01 -8.690327e+01
## DDHD1 7.453357e-01 -2.377297e+02
## SDF4 7.455562e-01 6.293907e+01
## UST 7.457196e-01 5.907403e+01
## SLC6A13 7.458704e-01 7.559403e+01
## LMAN1 7.466135e-01 -9.348081e+01
## KCNA7 7.466778e-01 -1.525420e+02
## VCAN 7.477265e-01 2.675030e+01
## TP53INP2 7.478092e-01 -5.322816e+01
## PKN1 7.486928e-01 5.328688e+01
## ARHGAP5 7.489912e-01 -1.550508e+02
## NDUFC1 7.490161e-01 -5.636201e+01
## KCNQ1 7.490742e-01 1.133025e+02
## TSPAN11 7.490992e-01 -2.219901e+02
## UBR5 7.494483e-01 -5.594768e+01
## PPFIBP1 7.494699e-01 -6.196799e+01
## TTLL12 7.503924e-01 3.242476e+01
## COX7A2 7.505867e-01 -4.561586e+01
## USP13 7.509044e-01 -4.086402e+01
## STX1B 7.513724e-01 1.800697e+02
## VAPA 7.526849e-01 -7.897697e+01
## CD59 7.538362e-01 4.111395e+01
## SNRPD3 7.538661e-01 -6.072111e+01
## UPK1B 7.544769e-01 -1.818597e+02
## AP3M2 7.545471e-01 3.906319e+01
## ACSM3 7.546183e-01 6.521169e+01
## HBS1L 7.546923e-01 1.219895e+02
## TLX2 7.561707e-01 -1.986016e+02
## ACSL3 7.562696e-01 4.002879e+01
## CPXM1 7.565328e-01 -3.732484e+01
## CACNA1S 7.572408e-01 1.578024e+02
## PRPF31 7.575047e-01 -5.748209e+01
## PLEKHA1 7.578407e-01 4.531021e+01
## TSTA3 7.579229e-01 -3.915067e+01
## ARFGAP1 7.588936e-01 -4.707455e+01
## NQO2 7.593544e-01 -4.950674e+01
## C19orf53 7.595668e-01 -6.740900e+01
## ELMO2 7.598228e-01 7.022729e+01
## PHF14 7.600824e-01 6.455204e+01
## PRRX1 7.603233e-01 -2.828747e+01
## FHL2 7.604405e-01 -2.409805e+01
## ASCC2 7.626356e-01 -4.953616e+01
## CACNG7 7.626477e-01 -1.867555e+02
## CD207 7.639204e-01 5.332461e+01
## PCNX 7.641996e-01 -5.811248e+01
## VSIG1 7.642806e-01 -1.306899e+02
## CCDC61 7.643600e-01 -1.160573e+02
## RPS5 7.650884e-01 -3.597806e+01
## AURKC 7.650975e-01 -1.169625e+02
## CTSD 7.670347e-01 2.737230e+01
## CHI3L2 7.672635e-01 -1.886358e+01
## ATP6V1B1 7.674000e-01 -1.514521e+01
## ACBD5 7.676389e-01 1.200311e+02
## PLS1 7.679213e-01 -3.731910e+01
## TIA1 7.684145e-01 -5.649137e+01
## KDELR1 7.685747e-01 7.109189e+01
## SLC17A6 7.700628e-01 1.342680e+02
## TNFSF11 7.701102e-01 -1.603596e+02
## CPN1 7.708350e-01 1.545882e+02
## CFHR2 7.714855e-01 -1.346962e+02
## SLC5A9 7.719459e-01 -1.669957e+02
## SGK2 7.726253e-01 -1.841460e+02
## TREML2 7.729184e-01 1.528588e+02
## ZNF800 7.734236e-01 -6.358267e+01
## MDN1 7.736369e-01 -8.761819e+01
## MAP3K13 7.737488e-01 5.669444e+01
## EPHA8 7.746236e-01 -1.107395e+02
## GYG2 7.748187e-01 3.174526e+01
## TRIM16L 7.751930e-01 -1.438850e+02
## BIK 7.765174e-01 -2.807660e+01
## KCNH2 7.771720e-01 6.832498e+01
## TNNT1 7.780864e-01 3.192541e+01
## IRF6 7.784777e-01 -3.562056e+01
## COL17A1 7.787381e-01 -2.509554e+01
## SASH3 7.792282e-01 3.866041e+01
## MTRR 7.792406e-01 -3.476893e+01
## GABRR2 7.794155e-01 -1.727239e+02
## ARSF 7.798467e-01 -1.094507e+02
## XRN2 7.799876e-01 -4.750077e+01
## RETSAT 7.801252e-01 4.595925e+01
## UTP20 7.801550e-01 -1.045685e+02
## RAB21 7.805834e-01 6.643755e+01
## APEX1 7.818536e-01 -5.395442e+01
## PIK3R3 7.819342e-01 7.890718e+01
## TRERF1 7.821928e-01 4.355878e+01
## NAT9 7.823511e-01 4.787367e+01
## ZMPSTE24 7.825707e-01 -5.473272e+01
## CTSG 7.828511e-01 -1.898717e+01
## MFAP3 7.831117e-01 -7.084422e+01
## BRD1 7.833374e-01 -7.347843e+01
## HEATR6 7.843975e-01 4.111668e+01
## MED23 7.844756e-01 5.449935e+01
## SH2B3 7.855302e-01 4.590246e+01
## NDFIP2 7.855670e-01 -4.270817e+01
## ZNF831 7.856576e-01 5.958969e+01
## ZAP70 7.872389e-01 -4.811298e+01
## INHBA 7.877062e-01 -1.556368e+02
## PAGE4 7.883947e-01 1.350590e+02
## MEOX2 7.885638e-01 -9.576041e+01
## OR1I1 7.895670e-01 -1.566127e+02
## MAST2 7.901502e-01 -8.828120e+01
## PKN2 7.902840e-01 4.582335e+01
## NAT14 7.909877e-01 -4.599910e+01
## FBXO3 7.913694e-01 4.434973e+01
## RPL18 7.913806e-01 5.676494e+01
## PHTF1 7.916503e-01 6.024225e+01
## ERC1 7.917850e-01 7.985475e+01
## TECTB 7.918240e-01 -1.401393e+02
## TNFAIP1 7.918504e-01 -4.036616e+01
## WARS2 7.920180e-01 4.110877e+01
## TNFRSF1A 7.943243e-01 4.864698e+01
## SMEK1 7.947796e-01 -1.446091e+02
## DNAH5 7.951224e-01 -9.782690e+01
## SEMA3C 7.961855e-01 2.890329e+01
## TRPM5 7.964738e-01 -6.807204e+01
## PTPN3 7.973225e-01 -5.384246e+01
## PAG1 7.973963e-01 5.029389e+01
## AP3D1 7.980467e-01 5.811408e+01
## TRMT1 7.983421e-01 -4.151224e+01
## INSL6 7.984087e-01 -1.102048e+02
## TMEM131 7.986674e-01 4.644671e+01
## EFNA2 7.987460e-01 -1.633873e+02
## KIAA1257 8.003044e-01 1.522906e+02
## SLC4A3 8.018574e-01 -4.130136e+01
## CSF2RB 8.021711e-01 -1.473027e+02
## JAK3 8.023009e-01 1.405642e+02
## TRHDE 8.024194e-01 1.556470e+02
## ITGA4 8.028533e-01 -7.886131e+01
## RHAG 8.030665e-01 -1.455454e+02
## LIPA 8.040894e-01 2.916814e+01
## B4GALT6 8.047180e-01 1.329108e+02
## SDCCAG8 8.059195e-01 6.961879e+01
## RASSF2 8.065653e-01 2.997991e+01
## CAV1 8.072950e-01 2.383759e+01
## GPRC5A 8.076604e-01 2.402139e+01
## APOC3 8.083365e-01 -1.338917e+02
## TOP3B 8.087458e-01 -4.772387e+01
## TM9SF3 8.096252e-01 -4.598499e+01
## ACTRT1 8.097761e-01 -5.193473e+01
## FAM50A 8.099145e-01 -4.525077e+01
## EDN3 8.100211e-01 -5.574217e+01
## NRXN3 8.100722e-01 1.589298e+02
## CAMK2A 8.101029e-01 -1.286937e+02
## WISP1 8.110025e-01 -3.552619e+01
## IKBKG 8.110424e-01 -5.132488e+01
## PRSS22 8.120941e-01 -6.125958e+01
## PNPLA3 8.125246e-01 1.442268e+02
## POMC 8.125543e-01 6.687244e+01
## EPB41L4B 8.125598e-01 -5.067728e+01
## HYAL2 8.126018e-01 4.976638e+01
## FMO4 8.127318e-01 -3.832960e+01
## VNN1 8.137289e-01 -8.298327e+01
## PAX7 8.139393e-01 6.128469e+01
## PRM2 8.143790e-01 -1.335876e+02
## MASP2 8.146908e-01 -1.651413e+02
## NANOG 8.155761e-01 1.442255e+02
## PALMD 8.164654e-01 -1.258824e+02
## RECK 8.165552e-01 3.695314e+01
## ATP2B3 8.179870e-01 -1.172734e+02
## PDAP1 8.189128e-01 -7.557328e+01
## PTBP2 8.198910e-01 -4.570490e+01
## ATXN1 8.203829e-01 3.822942e+01
## TXNDC12 8.208219e-01 3.485101e+01
## ZMAT5 8.212745e-01 -4.111083e+01
## SH3YL1 8.213789e-01 -3.226291e+01
## CALCRL 8.215706e-01 -3.769900e+01
## BAZ2A 8.218102e-01 1.103946e+02
## APOBEC2 8.230593e-01 1.361791e+02
## NDUFB7 8.232730e-01 -4.339834e+01
## GALK1 8.233316e-01 -3.574580e+01
## PDPR 8.233355e-01 -3.133240e+01
## RABGGTA 8.234368e-01 7.283760e+01
## CEACAM7 8.244792e-01 6.829810e+01
## KCNIP2 8.253404e-01 -1.149316e+02
## ISYNA1 8.254770e-01 2.940119e+01
## ITGA6 8.255326e-01 -3.524193e+01
## IDH3G 8.258475e-01 4.247137e+01
## DECR1 8.261904e-01 -3.023805e+01
## ITM2A 8.262847e-01 1.581180e+01
## KCNAB2 8.265050e-01 -1.560378e+02
## HRH3 8.279588e-01 -1.029392e+02
## OVGP1 8.287053e-01 3.100646e+01
## GOPC 8.296006e-01 5.651316e+01
## F13A1 8.296764e-01 1.722275e+01
## MED26 8.304866e-01 -6.097023e+01
## SMAD7 8.305048e-01 4.199981e+01
## PDE10A 8.306964e-01 -1.452835e+02
## TRIO 8.308414e-01 -5.437346e+01
## CTH 8.309289e-01 3.425532e+01
## ETF1 8.320690e-01 5.280517e+01
## ARID1B 8.322955e-01 -1.511037e+02
## AFF4 8.325897e-01 -4.327688e+01
## HPCAL4 8.348099e-01 -8.333455e+01
## GNPAT 8.350291e-01 3.983280e+01
## PCMT1 8.351005e-01 3.551299e+01
## CDKN2C 8.356641e-01 -4.378670e+01
## SLC46A1 8.375303e-01 4.575490e+01
## CEACAM5 8.378600e-01 1.808757e+01
## MTCH2 8.397473e-01 6.273759e+01
## G0S2 8.397559e-01 2.436781e+01
## NKX2-3 8.405202e-01 -7.020150e+01
## MYH14 8.408234e-01 -3.591235e+01
## LRP6 8.409741e-01 9.332344e+01
## P2RX7 8.430315e-01 -5.197231e+01
## GLT8D2 8.437092e-01 1.938643e+01
## NR1H4 8.438080e-01 -7.930502e+01
## LGALS3BP 8.443920e-01 -1.747745e+01
## SLC45A4 8.447255e-01 2.809053e+01
## PCDH12 8.451148e-01 6.705620e+01
## CYP2C18 8.454653e-01 1.027321e+02
## FHL1 8.455352e-01 2.012229e+01
## PMEPA1 8.456177e-01 1.745481e+01
## USP5 8.466585e-01 3.415475e+01
## ZNF419 8.476063e-01 3.367895e+01
## PLEKHB1 8.479366e-01 -1.614521e+01
## FGF14 8.486860e-01 -6.216197e+01
## TAX1BP1 8.491740e-01 4.165305e+01
## HCRTR1 8.497293e-01 -1.102001e+02
## DAZL 8.504990e-01 -1.176859e+02
## CTDP1 8.505077e-01 -5.478907e+01
## HMOX2 8.505283e-01 -7.308644e+01
## INHA 8.514558e-01 5.091299e+01
## C1orf109 8.523932e-01 -4.157583e+01
## ADAM2 8.535085e-01 -5.159298e+01
## PMS1 8.535605e-01 -5.611683e+01
## SLC25A39 8.537674e-01 3.440774e+01
## TP73 8.538212e-01 -1.016000e+02
## B3GAT2 8.538389e-01 1.176126e+02
## SF3A2 8.539622e-01 -3.699624e+01
## SLC22A2 8.543938e-01 1.197119e+02
## STOML1 8.545431e-01 -5.556843e+01
## GDPD3 8.546034e-01 -1.945206e+01
## CDC23 8.549885e-01 -4.712371e+01
## SPAG1 8.553047e-01 3.359811e+01
## GMIP 8.553577e-01 -3.540552e+01
## POLR2I 8.557778e-01 -3.438251e+01
## UPB1 8.563485e-01 -6.343549e+01
## HOXA5 8.569987e-01 1.588021e+01
## PARP4 8.570458e-01 -2.668285e+01
## USP36 8.577568e-01 -2.769284e+01
## BTN1A1 8.578510e-01 -5.751569e+01
## SCGN 8.579434e-01 2.305514e+01
## BMF 8.588517e-01 -3.582074e+01
## HTATSF1 8.592695e-01 1.176412e+02
## ATP13A1 8.599846e-01 2.298390e+01
## PDK4 8.601582e-01 -1.624526e+01
## P2RX3 8.608526e-01 1.198533e+02
## PCYT1B 8.610233e-01 1.010186e+02
## VDR 8.616263e-01 -4.521331e+01
## DHDDS 8.617329e-01 -4.380267e+01
## EPYC 8.627193e-01 -1.340303e+01
## HDAC1 8.627728e-01 2.960248e+01
## REC8 8.627871e-01 -2.106617e+01
## MAP4 8.633297e-01 3.290732e+01
## AIFM2 8.633349e-01 -5.193960e+01
## FAM118A 8.638299e-01 -2.820689e+01
## EXPH5 8.647724e-01 -2.377880e+01
## UMPS 8.648287e-01 -8.407801e+01
## SLC26A8 8.655158e-01 -6.645031e+01
## CMTM1 8.657699e-01 -6.293239e+01
## MAZ 8.667730e-01 -3.299895e+01
## DNM2 8.675673e-01 3.172081e+01
## TTC1 8.696796e-01 -3.926769e+01
## SLC27A5 8.699451e-01 2.390886e+01
## SIRT5 8.700546e-01 2.920434e+01
## EIF2AK1 8.702071e-01 -3.642673e+01
## PPP1R3F 8.706280e-01 3.864207e+01
## ARHGAP9 8.707024e-01 -1.764074e+01
## RSRC2 8.708566e-01 -3.330377e+01
## SMR3A 8.722985e-01 -1.071903e+02
## OGDH 8.723647e-01 2.573779e+01
## SFXN3 8.725971e-01 7.121320e+01
## FSTL4 8.729024e-01 -7.905907e+01
## ATP1A2 8.734020e-01 3.377413e+01
## OXT 8.737661e-01 4.465777e+01
## DARS 8.738126e-01 -3.199158e+01
## MTMR4 8.738293e-01 2.253385e+01
## CLEC4M 8.742322e-01 8.502297e+01
## CLUAP1 8.746766e-01 -5.399560e+01
## SMAD9 8.747963e-01 6.755483e+01
## KCTD20 8.752281e-01 -2.605029e+01
## MYH9 8.758395e-01 2.625795e+01
## DCN 8.764669e-01 -1.138152e+01
## ZDHHC8 8.772801e-01 1.900947e+01
## HOXA2 8.774064e-01 5.054635e+01
## DEF6 8.776641e-01 -2.679180e+01
## BEX4 8.782538e-01 -1.566026e+01
## XYLT1 8.782573e-01 1.590770e+01
## ATXN3L 8.789144e-01 8.785378e+01
## RBP3 8.791469e-01 8.313546e+01
## CRHR1 8.792467e-01 5.959947e+01
## BRCA1 8.797150e-01 3.523562e+01
## DKK3 8.813666e-01 1.303279e+01
## CTCF 8.818357e-01 -3.806661e+01
## CCNY 8.820689e-01 -2.230379e+01
## KLF1 8.825718e-01 -9.519003e+01
## ENOX1 8.825911e-01 -5.455669e+01
## MKRN2 8.830797e-01 3.430926e+01
## HFE 8.840588e-01 -7.090423e+01
## PAK7 8.849974e-01 8.121985e+01
## HOXC12 8.858453e-01 6.822652e+01
## TRAF1 8.862550e-01 -3.688263e+01
## PLEK2 8.871960e-01 -2.231741e+01
## SLC25A36 8.881783e-01 3.008339e+01
## GSG1 8.885277e-01 8.980931e+01
## FGFR1 8.892450e-01 -1.957263e+01
## SLC17A1 8.893084e-01 6.033392e+01
## SPACA1 8.893808e-01 -8.703303e+01
## PECR 8.899335e-01 2.626414e+01
## HMGCR 8.917541e-01 -2.366384e+01
## DPYSL2 8.919482e-01 1.558596e+01
## RNF32 8.931811e-01 5.620874e+01
## GTPBP10 8.937230e-01 5.838261e+01
## INSL4 8.937852e-01 7.372848e+01
## MCOLN1 8.938823e-01 2.882375e+01
## PRSS3 8.940672e-01 1.263381e+01
## ATP2B4 8.943944e-01 1.793376e+01
## RPGRIP1L 8.949038e-01 -6.725304e+01
## KRT37 8.953425e-01 -4.668351e+01
## PCK1 8.954407e-01 5.281411e+01
## EBI3 8.954763e-01 -2.152730e+01
## WDR18 8.960771e-01 2.370132e+01
## GCM2 8.962703e-01 -7.227096e+01
## APBA3 8.964862e-01 2.906926e+01
## GRIK5 8.965248e-01 -6.886463e+01
## CD160 8.970887e-01 -4.724217e+01
## PRKCH 8.971983e-01 -1.875987e+01
## FKBP7 8.987786e-01 -5.697785e+01
## MAT2B 8.990131e-01 -2.377081e+01
## ACVR2A 8.994826e-01 -2.985353e+01
## TBC1D22B 8.997229e-01 -2.673104e+01
## RPE65 8.998400e-01 6.761202e+01
## CHGA 9.002972e-01 -1.052757e+01
## TRPC4AP 9.008220e-01 -2.357098e+01
## TBX15 9.029318e-01 -3.245229e+01
## USP9X 9.045694e-01 -2.513052e+01
## GUCY2F 9.054358e-01 5.909114e+01
## MINPP1 9.056916e-01 -2.464379e+01
## GPR116 9.070127e-01 1.757934e+01
## PMPCB 9.072505e-01 2.040886e+01
## RBM19 9.088491e-01 7.349753e+01
## NEFM 9.090977e-01 -5.950580e+01
## PYGB 9.098056e-01 1.583806e+01
## IARS2 9.101746e-01 1.807938e+01
## RNF7 9.115119e-01 -2.600033e+01
## CRISPLD2 9.131175e-01 9.410921e+00
## HLTF 9.143778e-01 -1.727784e+01
## STRN 9.150859e-01 -3.099518e+01
## CREB3L3 9.156161e-01 -6.261198e+01
## OAZ1 9.157200e-01 -2.634009e+01
## ICAM4 9.167980e-01 -5.744438e+01
## DNAH8 9.169801e-01 -5.851178e+01
## AMBRA1 9.169886e-01 4.752117e+01
## BPI 9.174411e-01 3.215036e+01
## SGTA 9.178269e-01 2.547715e+01
## CLPTM1L 9.178687e-01 1.622102e+01
## RASSF8 9.179522e-01 -4.772827e+01
## PRR4 9.183864e-01 1.140596e+01
## CRYGD 9.184318e-01 6.026902e+01
## OAT 9.185075e-01 -1.028570e+01
## FGF22 9.188640e-01 -5.449072e+01
## RAD52 9.189574e-01 -6.527052e+01
## LY75 9.190551e-01 5.736035e+01
## AMH 9.190956e-01 -1.518243e+01
## TSNAX 9.192642e-01 -1.152258e+01
## BCCIP 9.195675e-01 -1.625880e+01
## EIF3J 9.196509e-01 2.247242e+01
## LZTS1 9.203525e-01 -1.954300e+01
## WBSCR22 9.206544e-01 -1.685820e+01
## CRISP1 9.207894e-01 -7.050310e+01
## LAMA4 9.208476e-01 -1.404641e+01
## EIF1B 9.211629e-01 1.420626e+01
## TIMP2 9.216197e-01 1.000336e+01
## FZD3 9.218869e-01 1.187375e+01
## RHOQ 9.223270e-01 -1.251954e+01
## PPP6C 9.225405e-01 2.312146e+01
## PORCN 9.227506e-01 3.880739e+01
## EXOC8 9.232301e-01 -4.833163e+01
## HYAL1 9.254468e-01 1.254071e+01
## MRVI1 9.256704e-01 -5.222616e+01
## PTK6 9.261884e-01 -1.112702e+01
## ZPBP 9.268259e-01 5.192811e+01
## PACSIN1 9.275332e-01 -1.583919e+01
## EIF2B4 9.275375e-01 2.518636e+01
## PSMC5 9.283505e-01 -1.352336e+01
## FKBP9 9.284369e-01 -3.891481e+01
## RFXANK 9.285169e-01 -1.787799e+01
## SNCAIP 9.286252e-01 -1.081690e+01
## COL11A1 9.289575e-01 4.501275e+00
## F3 9.294362e-01 1.529781e+01
## LPGAT1 9.300952e-01 -2.464296e+01
## GCG 9.316447e-01 -5.142068e+01
## GMCL1 9.321289e-01 1.884215e+01
## RPS6KA6 9.321709e-01 -3.490303e+01
## PAPOLA 9.323317e-01 -1.840974e+01
## CHD5 9.327835e-01 1.860975e+01
## CLEC2B 9.336539e-01 1.902257e+01
## C9 9.345203e-01 4.548032e+01
## MFNG 9.350729e-01 -1.218494e+01
## CYFIP1 9.354585e-01 -1.684892e+01
## PHKA1 9.359444e-01 1.842347e+01
## CCDC132 9.365188e-01 1.914060e+01
## DSP 9.367490e-01 6.540036e+00
## NEUROG3 9.374207e-01 -4.218729e+01
## CPNE5 9.377994e-01 2.855016e+01
## MRPL28 9.381150e-01 -1.840987e+01
## ATP4A 9.382942e-01 3.994191e+01
## YY1 9.391923e-01 -1.384255e+01
## DERL3 9.392986e-01 -1.687942e+01
## SRBD1 9.402486e-01 1.866099e+01
## TTC21B 9.406156e-01 -5.474127e+01
## SSPN 9.407491e-01 -8.974397e+00
## CECR1 9.413905e-01 6.656926e+00
## TBX21 9.416639e-01 2.210423e+01
## BTN3A1 9.419573e-01 -1.105552e+01
## MPO 9.432582e-01 4.079109e+01
## COL21A1 9.453809e-01 -3.229730e+01
## INPP5A 9.454667e-01 -1.423489e+01
## TMCO6 9.455809e-01 1.927863e+01
## PRAMEF1 9.458095e-01 4.481332e+01
## PALB2 9.458507e-01 1.794077e+01
## NOBOX 9.466667e-01 -4.472460e+01
## CASR 9.471551e-01 -4.310653e+01
## ITGAL 9.478118e-01 -8.444608e+00
## DNMBP 9.482890e-01 3.324475e+01
## GHSR 9.483812e-01 3.474083e+01
## CEP70 9.495027e-01 1.018662e+01
## AATF 9.503880e-01 -1.015979e+01
## SEMA3A 9.516079e-01 -1.960490e+01
## TTR 9.525747e-01 -2.793806e+01
## CRMP1 9.526974e-01 7.871807e+00
## DNAJC10 9.529116e-01 -9.356095e+00
## KIAA1191 9.535530e-01 -1.209275e+01
## SLC17A5 9.538081e-01 2.851454e+01
## PAIP2B 9.538223e-01 3.018026e+01
## CPS1 9.548954e-01 8.989372e+00
## CYP2D6 9.552779e-01 3.313000e+01
## GPR31 9.556777e-01 -3.174660e+01
## EPHA3 9.558130e-01 -1.049083e+01
## NR3C1 9.558799e-01 -1.700988e+01
## USP11 9.572960e-01 -1.147675e+01
## PCNP 9.574250e-01 -1.054723e+01
## ARID4B 9.574615e-01 8.452351e+00
## CLNS1A 9.584774e-01 -4.958933e+00
## HSD17B14 9.588465e-01 8.845901e+00
## CBY1 9.595712e-01 9.443694e+00
## RPL31 9.598779e-01 -7.759213e+00
## EYA1 9.601868e-01 1.418418e+01
## ACVR2B 9.607938e-01 -1.811938e+01
## SLC5A5 9.610325e-01 2.584809e+01
## IL1A 9.616254e-01 2.780152e+01
## TESC 9.618536e-01 -9.213399e+00
## IDS 9.624781e-01 8.531677e+00
## WHSC1 9.626563e-01 -2.139681e+01
## SYNE2 9.626810e-01 -6.361682e+00
## SLC11A2 9.629475e-01 -6.762230e+00
## SLC12A7 9.630923e-01 2.572244e+01
## CERK 9.633298e-01 6.722056e+00
## CYP26B1 9.634613e-01 -4.759100e+00
## SMCHD1 9.652652e-01 1.616675e+01
## THG1L 9.657693e-01 -1.090964e+01
## ZZZ3 9.659913e-01 8.059952e+00
## SLK 9.661182e-01 9.136496e+00
## RNF2 9.667471e-01 -2.312951e+01
## C8B 9.669915e-01 -1.716298e+01
## NOX3 9.671350e-01 -2.578566e+01
## ERO1LB 9.671960e-01 -9.577743e+00
## SLC12A4 9.672302e-01 -1.167677e+01
## ST3GAL1 9.674905e-01 -3.997902e+00
## MAN1A1 9.677176e-01 -6.965635e+00
## GZMH 9.682054e-01 -5.116561e+00
## KLHL7 9.683873e-01 -9.062555e+00
## CDC14A 9.696317e-01 6.116041e+00
## CDK5RAP1 9.708832e-01 6.832521e+00
## CORO2A 9.712490e-01 4.249940e+00
## AFM 9.725814e-01 -1.688640e+01
## C10orf54 9.727351e-01 5.643852e+00
## LEPR 9.736244e-01 -4.302282e+00
## TFAP2D 9.736385e-01 1.911764e+01
## ZNF582 9.750920e-01 -1.222331e+01
## CUBN 9.754464e-01 -1.287938e+01
## DPYSL3 9.756386e-01 -2.859761e+00
## PFKFB4 9.757237e-01 4.286807e+00
## ELK3 9.759284e-01 1.272465e+01
## RAP1A 9.768221e-01 1.251303e+01
## BICC1 9.769048e-01 1.531685e+01
## GALNTL5 9.770008e-01 1.559349e+01
## DLX6 9.777682e-01 1.579769e+01
## KLHL2 9.777907e-01 -5.116342e+00
## PLXNA1 9.801890e-01 3.695840e+00
## CCDC91 9.805092e-01 4.445634e+00
## PITX3 9.816977e-01 -1.207719e+01
## FRK 9.820275e-01 -5.709938e+00
## TIMP1 9.821957e-01 -3.118049e+00
## C12orf4 9.827522e-01 -4.786157e+00
## A1BG 9.831236e-01 -1.214835e+01
## PDGFRL 9.833012e-01 -1.652362e+00
## SOX6 9.850814e-01 -1.366179e+01
## NPY 9.852044e-01 2.161380e+00
## FZR1 9.856373e-01 -6.656020e+00
## IQCE 9.874954e-01 4.747718e+00
## ACO2 9.885989e-01 2.786349e+00
## VSX1 9.887786e-01 -1.033610e+01
## NCR2 9.888141e-01 7.050732e+00
## P2RX1 9.888860e-01 4.694135e+00
## EREG 9.893514e-01 6.609297e+00
## STAG2 9.895731e-01 -2.435162e+00
## USP42 9.899125e-01 2.825637e+00
## THADA 9.904342e-01 3.001141e+00
## HSD17B1 9.908310e-01 1.052005e+00
## KCNA1 9.909098e-01 -5.683740e+00
## RSF1 9.920568e-01 -2.772307e+00
## OFD1 9.926590e-01 -1.361633e+00
## STX10 9.947854e-01 -1.279354e+00
## HES1 9.963154e-01 6.798188e-01
## CAND1 9.969039e-01 -8.943625e-01
## NLE1 9.972447e-01 -1.175928e+00
## AMOTL2 9.976458e-01 -1.230703e+00
## NID1 9.977123e-01 -5.610748e-01
## NOX4 9.981838e-01 -2.609947e-01
## TIE1 9.982826e-01 -7.153950e-01
## CEP192 9.994151e-01 1.557407e-01
## BMX 9.995433e-01 3.959738e-01
## UNC119 9.997352e-01 6.808836e-02mini-DREAM Challenge
QUESTION: How well can we predict survival based on the expression of a single gene?
Now that you’ve built a model to predict survival time based on gene expression, we can apply it to the samples in a new dataset and submit our predictions to the mini-DREAM Challenge.
First, load the challenge validation data:
load(file.path(data_dir, "metabric_val_expr_df.RData"), verbose = TRUE)## Loading objects:
## metabric_val_expr_dfload(file.path(data_dir, "metabric_val_masked_clin_df.RData"), verbose = TRUE)## Loading objects:
## metabric_val_masked_clin_dfThis is a distinct set of samples from the ones we were looking at above. If you notice the word “masked” in the variable name of the clinical data frame, that’s because we’ve “hidden” the survival time for these patients. You’ll train a model based on other variables in the dataset (expression or clinical) and then find out how well your prediction matched the real answer.
Formatting the challenge data
Once again, double check that our sample IDs are in the same order:
metabric_val_masked_clin_df$metabric_id[1:10]## [1] "MB_0005" "MB_0048" "MB_0025" "MB_0083" "MB_0053" "MB_0056" "MB_0068"
## [8] "MB_0093" "MB_0079" "MB_0108"names(metabric_val_expr_df)[3:12]## [1] "MB_0005" "MB_0048" "MB_0025" "MB_0083" "MB_0053" "MB_0056" "MB_0068"
## [8] "MB_0093" "MB_0079" "MB_0108"metabric_val_masked_clin_df[1:5,1:5]## metabric_id last_follow_up_status OS_Status age_at_diagnosis size
## 1 MB_0005 a 0 48.87 15
## 2 MB_0048 a 0 51.46 25
## 3 MB_0025 a 0 76.24 34
## 4 MB_0083 d-d.s. 1 64.85 13
## 5 MB_0053 a 0 70.02 23Because we only aim to predict survival time for those patients who ultimately die, we must also remove censored samples (the patients who did not die during followup) from both the clinical table rows, and the expression data columns.
chal_drop_pats <- which(metabric_val_masked_clin_df$censored)
chal_dead_clin <- metabric_val_masked_clin_df[-chal_drop_pats, ]
chal_dead_expr <- metabric_val_expr_df[, -chal_drop_pats]
dim(chal_dead_clin)## [1] 329 30dim(chal_dead_expr)## [1] 15834 331Training our model
Now we’ll add gene expression into our data frames with clinical variables — this makes it easier for us to train and apply our model with the same syntax. AVP came out with the most significant p-value, and it seems to have a beneficial effect on outcome — the higher it is, the longer patients survive. The following will select it as the final model to submit. You might want to pick a different one so that we see a variety of different genes in the validation step.
This is where you can change to a different gene if you want to pick something else out of the top ranked ones from the discovery part above!
Hint: there’s no guarantee that the top gene from the training data will also be the best predictor for the challenge samples!
Since metastasis is a major driver of survival, it would be interesting to see if some of the genes that you identified from looking at PS-ON in Module 2 are important.
# pick the gene to use in your model here!
my_model_gene <- "ANLN"
# Add gene expression to the training clinical table
gene_exp <- as.vector(dead_expr[my_model_gene, ])
dead_clin$gene_exp <- gene_exp
# Add gene expression to the challenge clinical table
chal_gene_exp <- as.vector(chal_dead_expr[my_model_gene, ])And now to train our model for survival as a function of ER status and gene expression…
er_gene_model <- lm(T ~ ER.Expr + gene_exp, data = dead_clin)
summary(er_gene_model)##
## Call:
## lm(formula = T ~ ER.Expr + gene_exp, data = dead_clin)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2338.6 -876.0 -197.4 660.1 3970.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6785.5 913.2 7.430 1.01e-12 ***
## ER.Expr+ 549.9 171.9 3.200 0.00151 **
## gene_exp -796.9 131.1 -6.079 3.45e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1223 on 318 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.2099, Adjusted R-squared: 0.205
## F-statistic: 42.25 on 2 and 318 DF, p-value: < 2.2e-16Look at the coefficient named gene_exp. Based on this coefficient, is the relationship between the expression of your gene and survival time positive or negative? Use the Signif. codes from the summary to report how significant this relationship is estimated to be.
# fill in "negative" or "positive"
my_gene_relationship <- "negative"
# fill in "***", "**", "*", ".", or " " based on the signif. code for the
# gene_exp coefficient
my_gene_significance <- "0.001"Take a minute to look up “R-squared” (we didn’t really get into much detail about this metric above). Based on the R-squared value for the er_gene_model you just trained, do you think this model will be generally predictive of survival in breast cancer patients? Why or why not?
# fill in your explanation here
my_model_judgement <- "The R-squared value for the model is relatively low, suggesting that the model does not explain a large proportion of the variability in survival times. This implies that the model may not be very predictive of survival in breast cancer patients, and other factors not included in the model might be influencing survival times."### Predicting survival with our model
Now, we can use the predict.lm() function, which will use the coefficient and estimate we learned above, and apply it to the held out challenge data to predict their time to death.
# Load necessary data
load(file.path(data_dir, "metabric_val_expr_df.RData"), verbose = TRUE)## Loading objects:
## metabric_val_expr_dfload(file.path(data_dir, "metabric_val_masked_clin_df.RData"), verbose = TRUE)## Loading objects:
## metabric_val_masked_clin_df# Check sample IDs to ensure they are in the same order
print(metabric_val_masked_clin_df$metabric_id[1:10])## [1] "MB_0005" "MB_0048" "MB_0025" "MB_0083" "MB_0053" "MB_0056" "MB_0068"
## [8] "MB_0093" "MB_0079" "MB_0108"print(names(metabric_val_expr_df)[3:12])## [1] "MB_0005" "MB_0048" "MB_0025" "MB_0083" "MB_0053" "MB_0056" "MB_0068"
## [8] "MB_0093" "MB_0079" "MB_0108"# Display a snippet of the clinical data
print(metabric_val_masked_clin_df[1:5, 1:5])## metabric_id last_follow_up_status OS_Status age_at_diagnosis size
## 1 MB_0005 a 0 48.87 15
## 2 MB_0048 a 0 51.46 25
## 3 MB_0025 a 0 76.24 34
## 4 MB_0083 d-d.s. 1 64.85 13
## 5 MB_0053 a 0 70.02 23# Remove censored samples
chal_drop_pats <- which(metabric_val_masked_clin_df$censored)
chal_dead_clin <- metabric_val_masked_clin_df[-chal_drop_pats, ]
print(dim(chal_dead_clin))## [1] 329 30print(dim(chal_dead_expr))## [1] 15834 331# Pick the gene to use in the model
my_model_gene <- "ANLN"
# Add gene expression to the training clinical table
gene_exp <- as.vector(dead_expr[my_model_gene, ])
dead_clin$gene_exp <- gene_exp
# Train the model
er_gene_model <- lm(T ~ ER.Expr + gene_exp, data = dead_clin)
model_summary <- summary(er_gene_model)
print(model_summary)##
## Call:
## lm(formula = T ~ ER.Expr + gene_exp, data = dead_clin)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2338.6 -876.0 -197.4 660.1 3970.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6785.5 913.2 7.430 1.01e-12 ***
## ER.Expr+ 549.9 171.9 3.200 0.00151 **
## gene_exp -796.9 131.1 -6.079 3.45e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1223 on 318 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.2099, Adjusted R-squared: 0.205
## F-statistic: 42.25 on 2 and 318 DF, p-value: < 2.2e-16# Extract relationship and significance
gene_exp_coef <- model_summary$coefficients["gene_exp", "Estimate"]
gene_exp_pval <- model_summary$coefficients["gene_exp", "Pr(>|t|)"]
# Determine the relationship
my_gene_relationship <- ifelse(gene_exp_coef > 0, "positive", "negative")
# Determine the significance code
my_gene_significance <- ifelse(gene_exp_pval <= 0.001, "***",
ifelse(gene_exp_pval <= 0.01, "**",
ifelse(gene_exp_pval <= 0.05, "*",
ifelse(gene_exp_pval <= 0.1, ".", " "))))
print(paste("Gene expression relationship:", my_gene_relationship))## [1] "Gene expression relationship: negative"print(paste("Significance code:", my_gene_significance))## [1] "Significance code: ***"# Evaluate the model's R-squared
r_squared <- model_summary$r.squared
my_model_judgement <- ifelse(r_squared < 0.1,
"The R-squared value for the model is relatively low, suggesting that the model does not explain a large proportion of the variability in survival times. This implies that the model may not be very predictive of survival in breast cancer patients, and other factors not included in the model might be influencing survival times.",
ifelse(r_squared < 0.3,
"The R-squared value for the model is moderate, suggesting that while the model explains some variability in survival times, there is still a substantial amount of variability that is not captured by the model.",
"The R-squared value for the model is relatively high, indicating that the model explains a large proportion of the variability in survival times. This suggests that the model may be quite predictive of survival in breast cancer patients."))
print(my_model_judgement)## [1] "The R-squared value for the model is moderate, suggesting that while the model explains some variability in survival times, there is still a substantial amount of variability that is not captured by the model."Unfortunately, a number of our challenge samples are also missing predictions (NA for the T variable).
This is likely due to the stage information missing for these samples. We’ll submit anyway (the scoring function should ignore the missing samples when comparing to the true survival times), and see what happens.
Congrats — you’ve reached the end of Module 5! You can now return to the mini-DREAM Challenge site on Synapse.
Bonus — Survival analysis
The material below talks in more detail about full-blown survival analysis — feel free to take a look. We may only cover some or none in the call.
Finally, in practice we are ignoring a lot of information. We know more fine detail about survival than just whether someone was alive at 5 years. For example, in this dichotomy two patients who died 1 month after diagnosis, or 4.99 years after diagnosis, would both be “dead at 5 years” and be counted the same. Similarly someone who died at 5.01 years would be “alive at 5 years” and so would someone who is still alive 30 years later.
Survival analysis accounts for this. Let’s load the survival analysis packages and look at some of the variables
library(survival)
table(metabric_disc_clin_df$last_follow_up_status)##
## a d d-d.s. d-o.c.
## 548 46 259 126The above table indicates the number who were ’a’live versus dead (for various reasons) at the last time they were followed up, which is the variable T coded in days.
metabric_disc_clin_df$fu_yrs = metabric_disc_clin_df$T/365
hist(metabric_disc_clin_df$fu_yrs)
We’ll use a different variable, OS_Status, that indicates the “overall survival” status at the last followup time. This is typically coded as ‘1’ for dead and ‘0’ for alive. And it can be for any reason, not just death due to cancer. On the one hand, this includes someone who was run over by a car, but in practice definitively saying that someone died because of their cancer is hard.
table(metabric_disc_clin_df$OS_Status, metabric_disc_clin_df$last_follow_up_status)##
## a d d-d.s. d-o.c.
## 0 548 0 0 0
## 1 0 46 259 126Finally, R uses something called a survival variable which conveniently puts that status and time in one place. You can see that it is a vector with the time, and a ‘+’ attached if the person was censored (alive) at that time
metabric_disc_clin_df$surv = Surv(
metabric_disc_clin_df$T / 365 * 12,
metabric_disc_clin_df$OS_Status
)
metabric_disc_clin_df$surv[1:50]## [1] 46.389041 20.153425 67.397260+ 14.038356+ 43.232877 16.405479+
## [7] 40.339726+ 77.063014+ 71.638356+ 60.098630+ 8.942466 107.736986+
## [13] 26.926027+ 54.410959+ 56.021918+ 64.635616+ 44.416438 63.715068+
## [19] 80.219178 55.167123+ 72.032877+ 61.052055+ 58.980822+ 55.167123+
## [25] 8.120548+ 62.991781 119.276712+ 18.410959 60.723288+ 44.876712
## [31] 53.589041 54.805479+ 74.728767+ 23.901370 65.950685+ 110.695890+
## [37] 55.495890 25.873973+ 14.893151+ 12.723288+ 8.975342+ 48.756164
## [43] 49.841096 58.849315+ 25.906849 5.556164+ 27.090411 24.000000
## [49] 48.197260+ 42.542466R uses the coxph() function to model censored outcome as a function of predictors — in this case, we can model survival as a function of age.
summary(coxph(surv ~ age_at_diagnosis, data = metabric_disc_clin_df))## Call:
## coxph(formula = surv ~ age_at_diagnosis, data = metabric_disc_clin_df)
##
## n= 979, number of events= 431
## (18 observations deleted due to missingness)
##
## coef exp(coef) se(coef) z Pr(>|z|)
## age_at_diagnosis 0.024800 1.025110 0.004129 6.006 1.9e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## exp(coef) exp(-coef) lower .95 upper .95
## age_at_diagnosis 1.025 0.9755 1.017 1.033
##
## Concordance= 0.562 (se = 0.016 )
## Likelihood ratio test= 37.18 on 1 df, p=1e-09
## Wald test = 36.07 on 1 df, p=2e-09
## Score (logrank) test = 36.4 on 1 df, p=2e-09In the above, each increase of age by 1 year is associated with 1.03-fold increase in risk of death
Breast cancer was one of the first cancers to be split into groups based on gene expression pattern. These are called intrinsic types, or PAM50 groups. Since this splits patients into groups we can generate the Kaplan Meier plot. Note, we can limit the analysis to patients who are <70 years old to isolate part of the effect that older patients are likely to die sooner anyway.
byPam50 <- table(metabric_disc_clin_df$Pam50Subtype)
plot(survfit(surv ~ Pam50Subtype, data = metabric_disc_clin_df,
subset = age_at_diagnosis < 70), col = rainbow(6))
legend("topright", names(byPam50), text.col = rainbow(6))
Back to AURKA — how strongly is it associated with outcome and in which direction?
coxph(metabric_disc_clin_df$surv ~ aurka)## Call:
## coxph(formula = metabric_disc_clin_df$surv ~ aurka)
##
## coef exp(coef) se(coef) z p
## aurka 0.21953 1.24549 0.05441 4.035 5.47e-05
##
## Likelihood ratio test=15.69 on 1 df, p=7.457e-05
## n= 979, number of events= 431
## (18 observations deleted due to missingness)We can define groups of patients according to whether they have “high” or “low” expression of AURKA by whether their’s is higher or lower than the median.
median(aurka)## [1] 7.599aurka_hi <- rep(FALSE, length(aurka))
aurka_hi[aurka > median(aurka)] <- TRUE
aurka[1:10]## [1] 7.918 9.626 7.689 7.738 8.612 7.083 6.769 8.211 9.697 8.645aurka_hi[1:10]## [1] TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUEThen we can fit a coxph model to this split, and also examine the Kaplan Meier.
plot(survfit(metabric_disc_clin_df$surv ~ aurka_hi),
col = c("green", "red"), xlab = "Years", ylab = "Proportion surviving",
main="Survival vs AURKA")
legend("topright", c("Low","High"), text.col = c("green", "red"))
coxph(metabric_disc_clin_df$surv ~ aurka_hi)## Call:
## coxph(formula = metabric_disc_clin_df$surv ~ aurka_hi)
##
## coef exp(coef) se(coef) z p
## aurka_hiTRUE 0.3629 1.4375 0.0972 3.733 0.000189
##
## Likelihood ratio test=14.04 on 1 df, p=0.000179
## n= 979, number of events= 431
## (18 observations deleted due to missingness)That’s it! In principal you could now write a function that makes a table of the relationship of all genes to overall survival, and select one or more that are most prognostic.