Imputation using MOFA Data removed 50 samples

Load libraries

suppressPackageStartupMessages({library(MOFA2)
library(kableExtra)
library(data.table)
library(ggplot2)
library(tidyverse)
library(here)})

Load data and Generate Mofa object

set.seed(1)
knitr::opts_chunk$set(warning = FALSE, message = FALSE)

imputationTestingList <- list()

add_cols <- function(df, cols) {
  add <- cols[!cols %in% names(df)]
  if(length(add) != 0) df[add] <- NA
  return(as.matrix(df[, sort(cols)]))
}

df_source<- readRDS(here("./data/master_normalized_data_challenge2_train_Aug25.RDS"))

metaDf <- df_source[["subject_specimen"]]
metaDf["age_at_boost"] <- as.numeric(round(difftime(metaDf$date_of_boost, metaDf$year_of_birth,units="weeks")/52, 2))

normalizedData <- list()

normalizedData[["abtiter"]] <- as.data.frame(df_source[["abtiter_wide"]]$normalized_data)
normalizedData[["cytof"]] <- as.data.frame(df_source[["pbmc_cell_frequency"]]$normalized_data)
normalizedData[["rnaseq"]] <- as.data.frame(df_source[["pbmc_gene_expression"]]$raw_data)
normalizedData[["olink"]] <- as.data.frame(df_source[["plasma_cytokine_concentrations"]]$normalized_data)

int_cols <- Reduce(intersect, lapply(normalizedData[c("abtiter", "cytof", "olink")], colnames))
cols <- unique(c(int_cols, colnames(normalizedData[["rnaseq"]])))

common_cols <- Reduce(intersect, lapply(normalizedData[c("rnaseq", "abtiter", "cytof", "olink")], colnames))
removingNums <- sample(common_cols, 50, replace=FALSE)
# cols <- cols[! cols %in% removingNums]

imputationTestingList$actualData[["abtiter"]] <- normalizedData$abtiter[, removingNums]
imputationTestingList$actualData[["cytof"]] <- normalizedData$cytof[, removingNums]
imputationTestingList$actualData[["rnaseq"]] <- normalizedData$rnaseq[, removingNums]
imputationTestingList$actualData[["olink"]] <- normalizedData$olink[, removingNums]

normalizedData[["abtiter"]][, removingNums] <- NA
normalizedData[["cytof"]][, removingNums] <- NA
normalizedData[["rnaseq"]][, removingNums] <- NA
normalizedData[["olink"]][, removingNums] <- NA

normalizedData[["abtiter"]] <- add_cols(normalizedData[["abtiter"]],  cols)
normalizedData[["cytof"]] <- add_cols(normalizedData[["cytof"]],  cols)
normalizedData[["rnaseq"]] <- add_cols(normalizedData[["rnaseq"]],  cols)
normalizedData[["olink"]] <- add_cols(normalizedData[["olink"]],  cols)

normalizedData[["abtiter"]] <- normalizedData$abtiter[, !duplicated(cols)]
normalizedData[["cytof"]] <- normalizedData$cytof[, !duplicated(cols)]
normalizedData[["rnaseq"]] <- normalizedData$rnaseq[, !duplicated(cols)]

#
MOFAobject <- create_mofa(normalizedData)

Plot multiomic missing values

plot_data_overview(MOFAobject)

metaDf1 <- data.frame(metaDf[metaDf$specimen_id %in% cols, ])
colnames(metaDf1)[colnames(metaDf1)=="specimen_id"] <- "sample"
rownames(metaDf1) <- metaDf1$sample
metaDf1$sample <- as.character(metaDf1$sample)
metaDf1 <- metaDf1[cols,]
samples_metadata(MOFAobject) <- metaDf1

Setting data Options

knitr::opts_chunk$set(warning = FALSE, message = FALSE)

data_opts <- get_default_data_options(MOFAobject)
data_opts

## $scale_views
## [1] FALSE
## 
## $scale_groups
## [1] FALSE
## 
## $center_groups
## [1] TRUE
## 
## $use_float32
## [1] TRUE
## 
## $views
## [1] "abtiter" "cytof"   "rnaseq"  "olink"  
## 
## $groups
## [1] "group1"

Setting model Options

knitr::opts_chunk$set(warning = FALSE, message = FALSE)
model_opts <- get_default_model_options(MOFAobject)
model_opts$num_factors <- 15

model_opts

## $likelihoods
##    abtiter      cytof     rnaseq      olink 
## "gaussian" "gaussian" "gaussian" "gaussian" 
## 
## $num_factors
## [1] 15
## 
## $spikeslab_factors
## [1] FALSE
## 
## $spikeslab_weights
## [1] FALSE
## 
## $ard_factors
## [1] FALSE
## 
## $ard_weights
## [1] TRUE

Setting training Options

knitr::opts_chunk$set(warning = FALSE, message = FALSE)
train_opts <- get_default_training_options(MOFAobject)
train_opts$convergence_mode <- "medium"
train_opts$seed <- 42

train_opts

## $maxiter
## [1] 1000
## 
## $convergence_mode
## [1] "medium"
## 
## $drop_factor_threshold
## [1] -1
## 
## $verbose
## [1] FALSE
## 
## $startELBO
## [1] 1
## 
## $freqELBO
## [1] 5
## 
## $stochastic
## [1] FALSE
## 
## $gpu_mode
## [1] FALSE
## 
## $seed
## [1] 42
## 
## $outfile
## NULL
## 
## $weight_views
## [1] FALSE
## 
## $save_interrupted
## [1] FALSE

Training Model

MOFAobject <- prepare_mofa(MOFAobject,
  data_options = data_opts,
  model_options = model_opts,
  training_options = train_opts
)
MOFAobject <- run_mofa(MOFAobject, outfile=".../MOFA2_2ndChallenge_F40.hdf5", use_basilisk = TRUE)

MOFAobject

## Trained MOFA with the following characteristics: 
##  Number of views: 4 
##  Views names: abtiter cytof rnaseq olink 
##  Number of features (per view): 27 20 10269 30 
##  Number of groups: 1 
##  Groups names: group1 
##  Number of samples (per group): 370 
##  Number of factors: 15

Impute Data

imputed_data <- impute(MOFAobject, views = "all")

Add meta data to Mofa and Imputed objects

metaDf1 <- data.frame(metaDf[metaDf$specimen_id %in% cols, ])
colnames(metaDf1)[colnames(metaDf1)=="specimen_id"] <- "sample"
rownames(metaDf1) <- metaDf1$sample
metaDf1$sample <- as.character(metaDf1$sample)
metaDf1 <- metaDf1[cols,]

samples_metadata(MOFAobject) <- metaDf1
samples_metadata(imputed_data) <- metaDf1

Mofa object

MOFAobject

## Trained MOFA with the following characteristics: 
##  Number of views: 4 
##  Views names: abtiter cytof rnaseq olink 
##  Number of features (per view): 27 20 10269 30 
##  Number of groups: 1 
##  Groups names: group1 
##  Number of samples (per group): 370 
##  Number of factors: 15

slotNames(MOFAobject)

##  [1] "data"               "covariates"         "covariates_warped" 
##  [4] "intercepts"         "imputed_data"       "interpolated_Z"    
##  [7] "samples_metadata"   "features_metadata"  "expectations"      
## [10] "training_stats"     "data_options"       "model_options"     
## [13] "training_options"   "stochastic_options" "mefisto_options"   
## [16] "dimensions"         "on_disk"            "dim_red"           
## [19] "cache"              "status"

Imputed data

imputed_data

## Trained MOFA with the following characteristics: 
##  Number of views: 4 
##  Views names: abtiter cytof rnaseq olink 
##  Number of features (per view): 27 20 10269 30 
##  Number of groups: 1 
##  Groups names: group1 
##  Number of samples (per group): 370 
##  Number of factors: 15

slotNames(imputed_data)

##  [1] "data"               "covariates"         "covariates_warped" 
##  [4] "intercepts"         "imputed_data"       "interpolated_Z"    
##  [7] "samples_metadata"   "features_metadata"  "expectations"      
## [10] "training_stats"     "data_options"       "model_options"     
## [13] "training_options"   "stochastic_options" "mefisto_options"   
## [16] "dimensions"         "on_disk"            "dim_red"           
## [19] "cache"              "status"

Results for Actual Data

plot_object = MOFAobject

plot_factor_cor(plot_object)

plot_factor(plot_object,
  factors = 1,
  color_by = "Factor1"
)

plot_variance_explained(plot_object, max_r2=1)

plot_variance_explained(plot_object, plot_total = T)[[2]]

correlate_factors_with_covariates(plot_object,
  covariates = c("timepoint", "infancy_vac", "biological_sex", "dataset", "ethnicity", "race"),
  plot="log_pval"
)

plot_weights(plot_object,
 view = "cytof",
 factor = 12,
 nfeatures = 10,     # Top number of features to highlight
 scale = T           # Scale weights from -1 to 1
)

plot_data_heatmap(plot_object,
  view = "cytof",
  factor = 12,
  features = 25,
  cluster_rows = FALSE, cluster_cols = FALSE,
  show_rownames = TRUE, show_colnames = FALSE,
  scale = "row"
)

plot_factor(plot_object,
  factors = 1,
  color_by = "infancy_vac",
  dodge = TRUE,
  add_violin = TRUE
)

plot_factor(plot_object,
  factors = 5,
  color_by = "infancy_vac",
  dodge = TRUE,
  add_violin = TRUE
)

Results for Imputed Data

plot_object = imputed_data

plot_factor_cor(plot_object)

plot_factor(plot_object,
  factors = 1,
  color_by = "Factor1"
)

plot_variance_explained(plot_object, max_r2=1)

plot_variance_explained(plot_object, plot_total = T)[[2]]

correlate_factors_with_covariates(plot_object,
  covariates = c("timepoint", "infancy_vac", "biological_sex", "dataset", "ethnicity", "race"),
  plot="log_pval"
)

plot_weights(plot_object,
 view = "cytof",
 factor = 12,
 nfeatures = 10,     # Top number of features to highlight
 scale = T           # Scale weights from -1 to 1
)

plot_object = imputed_data
plot_data_heatmap(plot_object,
  view = "cytof",
  factor = 12,
  features = 25,
  cluster_rows = FALSE, cluster_cols = FALSE,
  show_rownames = TRUE, show_colnames = FALSE,
  scale = "row"
)

plot_factor(plot_object,
  factors = 1,
  color_by = "infancy_vac",
  dodge = TRUE,
  add_violin = TRUE
)

plot_factor(plot_object,
  factors = 5,
  color_by = "infancy_vac",
  dodge = TRUE,
  add_violin = TRUE
)

results <- imputed_data@imputed_data

imputationTestingList$imputedData[["abtiter"]] <- results$abtiter$group1[, removingNums]
imputationTestingList$imputedData[["cytof"]] <- results$cytof$group1[, removingNums]
imputationTestingList$imputedData[["rnaseq"]] <- results$rnaseq$group1[, removingNums]
imputationTestingList$imputedData[["olink"]] <- results$olink$group1[, removingNums]

saveRDS(results, file = here("./results/imputedData_removed50Samples.RDS"))

saveRDS(imputationTestingList, file = here("./results/imputationTest_removed50Samples.RDS"))


knitr::kable(MOFAobject@data$abtiter$group1[1:10,], "html", align = "lccrr", booktabs=TRUE, border_left = T, 
             border_right = T, caption = "Ab-titer Before Imputation")  %>% 
  kable_styling("striped", full_width = T) %>% 
  scroll_box(width = "100%", height = "400px")

Ab-titer Before Imputation

	1	102	103	104	105	106	114	115	116	117	118	131	132	133	134	135	138	139	140	141	142	146	147	148	149	150	153	154	155	156	157	160	161	162	163	164	167	168	169	170	171	174	175	176	177	178	181	182	183	184	185	19	191	192	193	194	195	2	20	201	202	203	204	205	208	209	21	210	211	212	22	223	224	225	226	227	23	241	242	243	244	245	248	249	250	251	252	255	256	257	258	259	27	274	275	276	277	278	28	281	282	283	284	285	29	293	294	295	296	297	3	30	31	324	325	326	327	328	332	333	334	335	336	342	343	344	345	346	349	350	351	352	353	355	356	357	358	359	360	361	362	363	364	369	37	370	371	372	373	38	385	386	387	388	389	39	397	398	399	4	40	400	401	405	406	407	408	409	41	45	46	468	469	47	470	471	472	475	476	477	478	479	48	483	484	485	486	487	49	490	491	492	493	494	498	499	5	500	501	502	506	507	508	509	510	513	514	515	516	517	521	522	523	524	525	529	530	531	532	533	537	538	539	540	541	546	547	548	549	550	554	555	556	557	558	562	563	564	565	566	569	570	571	572	573	577	578	579	580	581	585	586	587	588	589	593	594	595	596	597	601	602	603	604	605	608	609	610	611	612	616	617	618	619	620	623	624	625	626	627	630	631	632	633	634	636	637	638	639	640	643	644	645	646	647	650	651	652	653	654	657	658	659	660	661	664	665	666	667	668	669	670	671	672	673	674	675	676	677	678	681	682	683	684	685	688	689	690	691	692	695	696	697	698	699	70	702	703	704	705	706	709	71	710	711	712	713	716	717	718	719	72	720	723	724	725	726	727	73	74	77	78	79	80	81	87	88	89	90	91
IgG_PT	0.2141747	-1.9415834	-1.5126786	-1.2452517	-1.3270495	-0.3583255	-3.2205677	NA	-2.4250546	-2.6409659	1.9540594	6.4475031	4.4960890	4.2990265	NA	NA	-1.3021870	-1.9992390	-2.3603668	6.8697472	6.4459305	-0.0444362	0.1254587	0.6639879	5.6810970	5.7525368	1.3344371	1.5903451	-2.1691897	NA	3.7406423	2.3194864	-2.9961431	-3.3567677	-2.1264803	NA	-0.0414543	-3.2063808	-3.4156337	3.9535244	1.3817990	-3.2015254	-3.1776433	-3.2338881	0.8334434	3.6834152	-3.3170719	NA	-3.3595378	-3.3665433	-2.2348385	-2.4264510	-2.8414066	NA	-3.2036800	-3.0224006	-2.2638516	NA	-2.8101323	-2.8677869	-3.3158009	NA	-2.4906125	NA	-2.8165908	-3.3158009	-3.0064979	-3.0192056	-3.4936037	-1.1269259	2.9012411	-2.5271325	-2.7395735	-2.5202975	-1.6073751	0.5697801	3.5187299	NA	-3.3609295	NA	NA	NA	-1.8770432	-2.0259049	-1.9318736	4.4297276	11.3408184	-2.9663858	NA	NA	-2.8949673	NA	NA	-2.2365007	-1.7432071	-1.2557688	0.4806130	0.6923945	NA	-2.4654353	-2.9997363	-2.9298635	-2.0642312	-1.2664192	-1.8953688	-2.8157825	-2.9814131	-3.0412662	1.3958700	3.0808284	-1.2672832	-2.1015520	4.3737240	-2.3545425	-2.4376440	-2.4400973	4.4479637	5.3409138	-2.5185013	NA	-2.7216964	-2.7497399	-2.0780334	-2.6193142	-2.7209222	-2.6319854	9.0572329	12.4942789	-3.4197450	-3.3883364	-3.4936037	-3.0995843	-1.4245405	6.3197851	7.1310396	5.9143381	9.5207024	7.4451180	1.7907550	1.6257904	2.1404455	8.7470007	11.7863970	-3.4936037	0.2751901	NA	NA	-3.3280003	-3.4936037	-0.3663368	-3.1010425	-3.1416602	-3.3332238	-2.6200581	-0.6406388	-1.2848654	-0.5996587	NA	-3.4936037	-0.2724476	2.4741323	NA	2.4722931	13.5670996	5.3427439	2.6172345	3.2113559	8.4283457	1.8043859	-3.309489	NA	-2.5228169	-2.5361207	-3.3234727	-2.4097347	-1.5339034	-0.8265862	-2.4146016	-1.0820074	-1.1884375	4.0355091	10.2106762	-3.3478827	-1.0509653	0.3924937	NA	10.0199881	13.4767504	5.6060696	-0.3902113	0.9712079	NA	NA	1.4301879	NA	-2.7800231	7.3512955	NA	0.9516842	12.7765188	-2.0172737	-2.2123957	-2.1946573	12.8762960	14.7432585	-2.8913307	-2.9334593	-2.9511976	-0.2460980	15.3547888	-2.4456778	-2.4567642	-2.4212875	NA	NA	-2.4190469	-2.4057431	-2.4412198	NA	NA	-3.1374397	-2.9489696	-3.0199232	-3.0731382	-1.7383267	2.9756424	4.9867287	NA	2.8913853	NA	NA	-0.9906662	-0.3343468	5.0248556	NA	-0.8337042	-0.6385825	NA	5.1862516	8.4478922	-3.0886931	-3.0443473	-3.0000014	-1.2971189	-0.1019971	-3.3919964	-3.4363425	-3.4186041	-3.0594022	-2.3143911	7.0802879	6.2842789	6.4483585	6.4971390	7.5370502	-2.9086261	-2.7135043	-2.9707105	-1.5361207	0.9694226	-2.5294688	NA	-2.5804665	0.8674271	3.8519061	0.4794004	-0.0571849	0.4350545	0.8208640	NA	-3.1392250	-3.1081827	-3.1569633	-2.3387814	-1.3188257	NA	NA	-0.8664975	NA	NA	NA	NA	NA	NA	NA	NA	-2.2172732	-2.1684928	-0.5853441	0.3481371	NA	-2.9933155	-3.0199232	-2.1684818	0.6896112	-3.2633934	-3.2323513	-3.2367859	-2.5671628	-2.0261428	NA	-3.3148341	-0.2084038	0.6607759	1.9335029	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-3.465633	-3.476720	-2.9268308	-2.3348131	-3.2571845	-3.2749228	NA	-2.8403330	NA	-2.6208439	-2.7782719	-2.5764980	NA	0.8004420	-3.3432159	-3.3254776	-3.2988701	-1.9241472	-0.1724844	-3.3020070	-1.5383379	-1.6092914	-1.5649455	NA	2.2000210	NA	-3.3293011	1.4195335	NA	NA	5.2909307	0.3946769	NA	0.7782691	2.3481138	-3.1729412	6.0443449	-2.8243690	-2.7445464	-2.8243690	-2.2789145	-0.0993135	-2.6148562	-2.5739536	-3.4936037	NA	-3.4936037	-3.2700257	-3.3145328	NA	-1.5532179	-1.602301	25.5688190	19.0690212
IgG_PRN	0.1754930	-1.2413265	-1.0250254	-2.0187268	11.2266102	12.8522406	-1.3839982	NA	-0.2654612	3.1617689	15.9141750	-2.0253134	-2.0479414	-2.0464168	NA	NA	-0.4610379	-1.1687516	-1.5244677	-1.7426078	-1.8641331	0.1580148	-2.0058131	-1.9962902	-1.9111147	-1.8771777	-1.9204921	-1.9134183	-0.0536616	NA	-1.9843123	-0.2213056	11.9905815	4.0923243	9.7357607	NA	-0.9587228	-0.4575068	-1.6246452	-1.8965476	-1.9206836	-2.0745015	-2.0402124	-2.1290057	-1.8517003	33.0443420	-1.3347272	NA	-1.4468876	-1.4942954	1.9790163	5.2257781	-1.6857235	NA	-2.0270426	-1.8538842	3.8420868	NA	2.8645844	-1.2510254	-2.0491989	NA	2.8831120	NA	-1.6278341	-2.1521711	1.2489128	-1.8213913	-1.9001734	-1.9417169	8.0499249	3.9238529	2.6504836	4.1407547	5.4878750	-1.9137560	5.6500063	NA	0.9600518	NA	NA	NA	-0.9481243	-1.0362419	-1.0841858	-1.8190994	-1.6545508	-2.2442472	NA	NA	-2.2242417	NA	NA	-1.0718367	-0.3864131	0.6484768	-1.9715446	5.2775044	NA	1.6182570	-0.4386417	0.0138872	1.9349790	2.1583767	1.6492658	-1.9475977	-2.0459139	-2.1021366	-1.9456125	-1.8560026	-1.0564638	0.5290275	5.3444691	2.4711494	1.9199195	1.9166422	-1.8808223	-1.8475401	-0.9480634	NA	-1.2002995	-1.2486163	7.6362381	-1.7697490	-1.8365865	-1.7980360	-1.7918767	-1.7037750	-2.2870212	-2.2726426	-2.3581870	-1.0244218	9.8137255	-2.1006935	-2.0871396	-2.1058979	-1.8701835	-1.8895764	-1.9682839	-1.9611813	-1.9607365	-1.8644550	-1.7732770	-1.3828387	2.8414168	NA	NA	2.6756840	-1.8397760	2.1581759	-2.1778808	-2.1961501	-2.2962120	-0.0356550	-1.8011162	0.9786043	-0.4752089	NA	-2.0238798	-0.1917195	2.8634634	NA	-1.8851719	-2.0411789	-2.1926773	-2.2470703	-2.0418539	-1.9524055	2.6355410	-2.336681	NA	-2.3162763	-2.3147364	-2.3373468	-2.3146179	-1.1683576	0.0824203	-1.7436395	-1.3207117	-1.1821575	0.0564985	1.0532670	-2.3415549	-2.3475287	-2.2873924	NA	-0.7568212	0.2838552	-0.1706185	-1.5610197	-0.8983366	NA	NA	-0.4780544	NA	-1.8701706	5.2330995	NA	0.9400425	1.1370747	-0.7139205	-0.7715691	-0.7198828	1.0805709	1.1452875	-2.1458859	-2.1201808	-2.1637726	-0.7330204	0.6863997	0.4169912	0.3190281	0.3796382	NA	NA	-1.0998000	-1.0646975	-1.0924162	NA	NA	-0.2797589	0.3151276	0.2129395	-0.2783375	0.9641092	-1.5957272	-1.1381708	NA	1.3854971	NA	NA	0.9936743	0.9466865	1.0890708	NA	-0.7299798	-0.6977596	NA	0.4138720	0.8130295	-0.3764672	-0.3928142	-0.3333097	0.9587305	1.1623960	0.0798538	-0.1245224	-0.0540805	1.4716341	1.4847038	-2.3475287	-2.3475287	-2.3475287	-0.4325082	0.2974181	-1.3307320	-1.3116211	-1.4181131	-1.0838299	-0.5993049	-2.2345519	NA	-2.2008710	-0.7522318	0.8520586	-2.3194246	-2.3120804	-2.3239260	-2.1398847	NA	-0.4340982	-0.5751004	-0.5788121	0.6556585	0.7219543	NA	NA	-1.2558677	NA	NA	NA	NA	NA	NA	NA	NA	0.5645874	0.6108642	0.8584373	0.7954187	NA	-1.5190468	-1.4808248	-0.0488091	1.3693869	-1.5222650	-1.5308332	-1.3490427	1.1334419	1.2097278	NA	-2.2138007	0.6287115	0.3494315	0.8582795	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-2.279859	-2.265605	0.5914772	0.9206667	-0.3291245	-0.3013268	NA	0.8140953	NA	-1.7066898	-1.8449676	-1.7366986	NA	1.0589445	-1.3810154	-1.3985469	-1.4621973	-0.1478083	0.9664688	-2.2714567	-0.3832991	-0.4009490	-0.4932264	NA	0.5367494	NA	-2.2768960	-1.0727346	NA	NA	0.7276797	-1.4268570	NA	-1.3469386	0.3743865	-0.1763618	0.5022006	-1.5310993	-1.3917553	-1.4727004	-0.4020941	0.6945331	1.5844841	1.6242261	-2.3601189	NA	-2.3531144	8.3863297	7.4170370	NA	4.0500116	3.681500	7.2802153	5.3460274
IgG_FHA	28.5127258	-4.4279976	-0.4628634	-3.1968689	69.7465210	16.5916100	-4.3226051	NA	-4.9422784	-4.4164305	-5.4537930	-3.0888281	-3.2114708	-3.2121325	NA	NA	4.9193430	-0.0609989	-4.7368388	-2.3867676	-2.4245794	-4.4778333	-3.6940277	-3.6456578	-3.2277458	-3.2942874	-3.6303477	-3.6347976	6.5620556	NA	-3.0030692	8.7052574	-4.6486268	-5.1940575	11.7732363	NA	-2.1271267	-5.0184422	-5.2676926	-3.0994668	-3.2075462	-3.3128514	-3.4420929	-3.6463938	-2.4245794	61.6858597	-5.0139170	NA	-5.0350375	-5.0445676	-3.4320686	-4.4417729	-5.2675943	NA	-5.3807120	-5.3292251	-4.1955776	NA	-4.7877622	-4.5620589	-5.1566720	NA	-3.1542623	NA	-3.3336444	-4.7568831	-4.9324789	-3.7823169	-3.2711813	-3.3006926	-5.4537930	-0.5559273	-1.4179339	0.5539708	6.5980921	-2.9661460	6.0259790	NA	-5.1699266	NA	NA	NA	-4.7929654	-4.8713632	-4.8421869	-3.2578158	-2.1962366	-4.9476500	NA	NA	-4.8640590	NA	NA	-3.1529267	-2.0794115	1.7263484	-3.2242675	-5.4537930	NA	-2.5288594	-4.1157331	-3.9391427	-3.1201329	-2.1271267	-4.7184048	-4.7740812	-4.8962359	-4.9494629	-3.2008653	-2.5820870	-1.0992703	-4.8322649	-2.6070840	-4.7120366	-4.7715106	-4.7329092	-3.3762233	-2.9208078	-4.5144010	NA	-4.6969552	-4.7343836	-1.2062082	-5.0952835	-5.1331320	-5.0990429	-3.1454997	-2.6513584	-5.2718558	-5.2586341	-5.3949151	-1.3442049	-5.4537930	-3.4658437	-3.4267652	-3.4733260	-3.0599194	-3.0465350	-3.5779769	-3.5447783	-3.5605769	-3.0229928	-2.5437219	-5.1416078	-5.4537930	NA	NA	-3.4099011	-2.9977562	4.9932241	-5.0093627	-5.0255833	-5.2322259	-4.1424828	-2.8588099	-0.8712950	-5.4537930	NA	-3.1904769	4.7993326	-5.4537930	NA	-2.5093863	-2.7951133	-2.5378928	-3.3074527	-3.3850057	-2.5219223	-5.4537930	-5.158940	NA	5.1041431	5.1334248	-5.1550245	5.1356773	8.8589725	14.1263208	0.5279498	5.7716475	5.8572397	18.4720726	30.2174568	-5.1535206	-2.6536317	-1.6974678	NA	15.4177523	28.2206612	4.5465822	-0.0903468	2.2949948	NA	NA	19.6940231	NA	3.8833160	-5.4537930	NA	8.0469656	15.5228376	6.8847027	3.2740297	5.0635986	9.9401474	14.1116800	-2.5111141	-4.9369998	-1.4479589	0.7932262	5.0323315	-4.3695254	-4.2726703	1.0205808	NA	NA	-3.3951995	-2.6259887	-4.0607977	NA	NA	3.6701136	10.1853170	6.9812117	5.2918758	18.9766197	18.6252365	31.9957619	NA	34.1198196	NA	NA	-5.2874722	-4.7491374	-5.1771026	NA	-4.7918596	0.0407662	NA	-0.2621880	1.4902158	-4.9968319	-4.2963209	-3.3660603	2.0814834	2.4486322	1.7693949	-0.1429329	-1.4425950	4.4610691	23.3714905	16.6997414	12.2826929	8.4152403	12.9910860	15.5239630	-5.4906082	-5.4038892	-5.4793463	-5.4635787	-5.4793463	-5.4658313	NA	-5.4703364	-5.3824906	-5.3802385	-5.3843274	-5.4451437	-5.3798227	-5.2987347	NA	-5.4354234	-5.3487043	-5.4376760	-5.3993840	-5.3092861	NA	NA	-5.4151511	NA	NA	NA	NA	NA	NA	NA	NA	-5.3435664	-1.8747976	0.3235908	1.1536179	NA	4.1228561	4.4517136	15.7961626	53.8332405	3.4530993	3.2379904	5.0602198	14.4878378	17.3856125	NA	-5.4301991	-1.9592645	-3.2814510	-1.1911798	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-5.506375	-5.506375	-5.5063753	-5.3223109	-4.8581638	-5.4404216	NA	2.3710651	NA	-4.3605156	-5.4934969	-5.1612606	NA	3.7347794	-5.5063753	-5.5063753	-5.5063753	-5.4654155	-5.4226193	-5.1622834	-5.4473963	-5.4800568	-5.4282503	NA	-5.3922110	NA	-5.2028289	-5.4545693	NA	NA	-5.4320445	-5.2457275	NA	-0.0988855	-0.4040923	-4.8935242	2.9610643	-5.3899589	-5.4699206	-5.3640556	-5.3967161	-5.1872382	0.2961192	0.4530468	-5.4335370	NA	-5.4314647	-3.0594318	-3.3012621	NA	-2.5015059	-2.682081	13.9698133	30.4510651
IgG1_PT	-2.5774159	-6.5278845	-6.9612598	-6.2191362	-5.0834341	6.6313944	-9.8633442	NA	-9.7919140	-9.6707001	-6.3930311	10.2062826	7.6882048	5.2100325	NA	NA	-6.8084688	-7.2534056	-7.5196872	-2.9543533	9.7795038	-4.3428845	-1.3937044	-4.2547336	-3.3688731	7.2354517	-9.0990801	-9.1042671	-9.0829115	NA	1.2520905	-9.7641315	-9.7470703	-9.7394876	-7.5281544	NA	-9.8162632	-9.8165789	-9.7938309	2.9765453	4.6485510	-9.8222666	-9.8007812	-9.8336401	-3.7051616	3.3060808	-9.8390112	NA	-9.8503857	-9.8513336	-8.3914757	-8.4880314	-9.2308083	NA	-9.4093199	-9.4952583	-9.2797537	NA	-8.0744581	-9.0292320	-9.0753613	NA	-4.3222060	NA	-9.6841965	-9.6946220	-8.8507977	-9.7211618	-7.1286306	-2.3334656	0.6343012	-9.5609465	-9.5020876	-9.4171429	-8.5543194	-5.1194129	7.2060919	NA	-9.8913612	NA	NA	NA	-8.2623644	-7.6888208	-8.0895424	5.3376465	11.2354250	-9.1195021	NA	NA	-8.7007990	NA	NA	-6.9661226	-6.9497356	-7.4144411	-4.4862456	-0.6283379	NA	-8.7683535	-9.2238436	-9.1185827	-7.9511447	-6.1629057	-5.5049491	-9.2407560	-9.1930790	-9.3548183	-1.4434910	1.3628616	-1.6276531	-5.4246731	4.5146456	-8.6371536	-8.9438820	-7.8069592	3.3525047	9.6401186	-9.7474594	NA	-9.8430595	-9.5887089	-9.1717100	-8.5864544	-9.2564869	-8.4685802	12.5866766	14.0246248	-9.8830795	-9.9074907	-9.9001904	-9.8564625	-9.8412523	5.6162109	-1.6451273	9.6702223	10.9383287	8.7776041	2.4436464	2.8619890	3.2577572	13.1753931	11.9000769	-9.9068928	-2.4558163	NA	NA	-9.8841724	-9.8000317	-4.0135770	-9.8100224	-9.8766022	-9.8400259	-9.5033951	-6.1602058	-3.6968765	-8.7467346	NA	-8.3466797	-3.3544331	3.7647257	NA	-7.4269352	-1.3211517	-0.3124437	-0.1278467	3.8571539	6.9515505	3.0452900	-9.827997	NA	-6.7171326	-4.3114471	-9.8442554	1.7989931	-5.5624037	-8.0643158	-8.9341555	-9.7970390	-9.7970390	27.1511230	81.7601776	-9.8713531	-6.3360157	-9.3190651	NA	99.1773376	126.9870529	-9.0475922	-1.4284172	-8.1643362	NA	NA	8.4348917	NA	-2.3868990	9.4748201	NA	9.3528452	-8.1605434	-7.0539284	39.9050484	71.0827255	0.8367195	-7.3907242	-7.4215183	-6.8441534	-7.6139727	1.9125404	142.5489044	-1.3582773	0.4219294	-0.0592079	NA	NA	-9.7970390	-9.4847565	-9.7970390	NA	NA	-9.7970390	-9.7970390	-9.7970390	-9.7970390	-9.0303831	-9.7039747	-9.7970390	NA	-5.1812863	NA	NA	2.2510271	25.8748589	83.0339355	NA	5.3295269	6.7248240	NA	45.5525856	81.6378632	-9.7970390	-9.7970390	-9.6819487	1.0955210	9.4673052	-9.7964096	-8.9303627	-5.9954271	-9.3152723	-9.7964096	6.7065916	7.7650919	11.8547583	2.0395622	5.2150660	-7.7090139	-8.1901512	-8.0939236	20.7742996	70.7163239	-9.3448801	NA	-9.4411077	15.1931105	56.5227852	8.5539236	8.2652407	11.8737688	38.0476265	NA	-9.7970390	-9.7970390	-9.7970390	-5.9288073	4.4156399	NA	NA	-8.4788332	NA	NA	NA	NA	NA	NA	NA	NA	-9.7309761	-9.6347485	0.8540392	8.2635508	NA	-9.7970390	-9.7970390	-7.5869718	9.9264174	-9.2190456	-6.8133602	1.8471069	-8.6897945	-8.0643158	NA	-9.7970390	-0.2044621	4.2219982	13.0749197	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-9.797039	-9.797039	-9.7970390	-7.1026716	-9.6772118	-8.9611568	NA	-3.5243077	NA	-8.9121294	-9.4894943	-9.5083570	NA	4.8965044	-9.7970390	-9.7970390	-7.3187947	0.1821375	3.4538698	-9.9074907	-5.6877341	-6.1207571	6.7256021	NA	15.1936140	NA	-9.9074907	5.1424026	NA	NA	66.8191147	5.1370726	NA	7.9276667	19.2825012	-9.9074907	53.8762550	-9.7970390	-9.7970390	-9.7244797	-3.8594131	0.4708204	-9.8483200	-9.4121590	-9.9074907	NA	-9.9074907	-9.9074907	-9.8839664	NA	-7.8817530	-7.201538	18.1935768	16.5391273
IgG1_PRN	0.4414726	-0.2908945	-0.4878474	-0.5427306	0.6219996	1.2952675	-1.6511180	NA	-1.6118115	-1.4783154	-0.4837470	-0.2315916	-0.4203517	-0.6070400	NA	NA	-0.2594254	-0.3535885	-0.5735672	0.1067463	1.1425225	-0.2588557	0.1120805	-0.4010634	-0.2094282	0.7575713	-0.8440130	-0.7318776	-0.6806164	NA	0.0929770	0.9232541	1.3098105	1.0073589	1.4077247	NA	-0.2936608	-0.3154194	-0.2210051	0.7236816	0.7400683	-1.4875145	-1.4525703	-1.4978784	0.5781533	0.5913116	-0.2853588	NA	-0.3804514	-0.3873968	0.2288401	1.4282800	-1.2198443	NA	-1.3038135	-1.3334401	0.1709125	NA	1.5161833	-0.5393281	-0.5650207	NA	-0.5754938	NA	-1.2769812	-1.3092124	1.3917512	-1.3343896	0.3000721	0.6971613	1.5762953	0.7484826	0.8906673	0.9136423	1.0210952	1.2399389	1.8122138	NA	0.0992607	NA	NA	NA	-1.5585967	-1.5149696	-1.5511860	1.1430718	1.1192189	-1.6650298	NA	NA	-1.6555395	NA	NA	0.4890431	0.4589008	0.2065687	0.6570979	1.0489422	NA	0.5768071	0.3953015	0.2840348	0.3249413	0.5236779	0.9064716	-1.4016039	-1.3632332	-1.4044464	0.4992119	0.7872854	0.5191771	0.9180146	1.2119702	0.6536211	0.4711772	0.8918341	1.1994148	1.5304843	-0.5102183	NA	-0.8613561	-0.2169232	0.9960643	-0.9532103	-1.2283747	-0.9381005	1.1581239	1.1771897	-1.7013378	-1.7082638	-1.7126015	-0.3953563	0.3473042	-1.4852676	-1.5492955	-1.3563124	0.9897457	0.8804606	0.0794437	0.1138458	0.1162043	1.1336547	1.1443700	-1.2290144	1.0267540	NA	NA	0.7719971	1.1256319	0.8442847	-1.6078730	-1.6726012	-1.6382761	-0.2652086	0.9123989	0.9112056	-0.5341027	NA	-0.3457372	0.3164269	1.2173766	NA	0.9939581	-1.6936219	-1.6772411	-1.6683714	-0.8062677	-0.0116296	1.2444080	-1.707831	NA	-1.6658221	-1.1857678	-1.7092341	0.1144309	-1.3308432	-1.7230887	-0.7496794	-1.1048555	-1.1869378	0.7181934	2.5839152	-1.7149911	-1.6841722	-1.7237046	NA	0.2978071	1.0152410	-1.4942687	-0.1799688	-0.9002967	NA	NA	0.6050149	NA	-0.5814509	1.2059211	NA	-0.3279999	-1.5504268	-0.4558954	0.3811208	1.0720149	0.0415237	-0.5286795	-1.6960300	-1.6858082	-1.6984930	-0.3377643	1.1653923	1.3351847	1.3269333	1.1873997	NA	NA	-0.4688001	-0.2521106	-0.3210769	NA	NA	0.8585891	0.1447884	0.4057518	1.0827295	1.6206046	-0.6229539	-1.2974069	NA	2.9145222	NA	NA	1.7239817	1.7446717	1.8651778	NA	0.1626352	0.4478599	NA	1.0750834	1.6672078	0.5780338	0.4744612	0.5694128	1.6558777	2.1894426	0.2591984	0.8165320	1.5250987	0.6996588	0.1585200	-1.7260445	-1.0906312	-0.0723323	-1.3709915	-1.7282612	0.5088209	0.4866532	0.4033395	1.1416479	2.0044036	-1.6561652	NA	-1.6072116	-0.0062093	2.1353164	-1.7112767	-1.7262399	-1.6747000	-1.2211237	NA	0.2080789	0.1069694	0.0976096	1.1562418	1.8779243	NA	NA	-0.3134785	NA	NA	NA	NA	NA	NA	NA	NA	1.2819575	1.2418092	1.8274683	1.8073941	NA	-1.3326905	-1.3114464	0.7305704	2.9713578	-1.2114453	-0.0137725	1.1883956	-0.5716603	-1.0959885	NA	-1.1342013	1.6282667	1.4937209	1.6368874	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.689663	-1.712410	-0.5010674	-0.0468754	0.2994348	0.5778860	NA	1.5857786	NA	-1.0799274	-1.2227244	-1.2563455	NA	1.6473185	-1.0589298	-1.0983391	-0.4025189	0.7511264	0.9127661	-1.6794558	0.0173132	0.0107861	0.5729841	NA	1.0228044	NA	-1.6943011	-0.8366930	NA	NA	2.0313740	-0.7926706	NA	-0.6243806	0.9034067	-1.6972234	1.8539711	-0.7333106	-0.5415598	-0.3520257	0.8368417	1.0303782	-0.6606491	0.3145055	-1.7006425	NA	-1.7195791	0.5245835	0.9068292	NA	1.1252137	1.277025	1.7018303	1.6083726
IgG1_FHA	1.1778990	-0.4705662	0.4347466	0.3984007	0.3328851	1.4778231	-0.5985427	NA	-0.6198877	-0.6506430	0.8588692	0.6215574	0.4929632	0.3678571	NA	NA	0.4754342	0.3721124	0.1828943	0.2750934	1.3537108	-0.9250871	-0.5901481	-0.9324617	-0.5010225	0.3120657	-1.5914153	-1.5622430	-1.5694298	NA	0.4088625	-0.9262735	-0.8560638	-0.8392787	1.1587735	NA	-1.2017173	-1.2052422	-1.1374302	0.7593836	0.9668237	-0.0381491	0.0006964	-0.1058171	1.0217110	0.9890040	-1.0072258	NA	-1.0477977	-1.0415633	-0.0744904	-0.5478383	-1.5401292	NA	-1.5703903	-1.6028095	-0.8828618	NA	-0.4315494	-0.7508451	-0.7725219	NA	-0.1104279	NA	-0.3664180	-0.3475947	-0.7048284	-0.3943772	-0.0252503	0.7150229	0.8810364	0.2605616	0.3794724	0.3887078	0.5042239	0.9314445	1.1975979	NA	-1.4847628	NA	NA	NA	-1.2357090	-1.1266823	-1.2651911	0.3199812	0.9944826	-0.9478666	NA	NA	-0.7182817	NA	NA	0.3668424	0.3229123	0.1919118	0.5554587	0.9287425	NA	0.2212740	-0.0566839	-0.1016440	-0.1234914	0.1587453	-0.4827768	-1.2875822	-1.2871621	-1.3222811	0.2867652	1.0081743	1.2602035	-0.4166124	0.1726767	-0.9193314	-1.0288618	-0.6567323	0.0341557	1.2816480	-0.7926302	NA	-1.1489820	-0.5583066	0.1722060	-1.3307431	-1.5298882	-1.3463484	0.7628094	1.0564724	-1.6322331	-1.6822234	-1.6973448	0.1495565	0.2468570	-0.4975487	-0.8899882	-0.1510285	0.6338581	0.5467328	-0.2200387	-0.2144326	-0.1846704	1.0659343	1.1797873	-1.4568332	1.0294801	NA	NA	0.0517384	1.0430549	0.8497838	-1.3800349	-1.5329024	-1.4546456	-0.7475719	0.6970495	0.9830648	0.2837309	NA	0.3743848	1.0642666	1.2636620	NA	0.9916545	-0.3694878	-0.3368998	-0.2792896	-0.0411565	0.8285831	1.2694262	-1.181162	NA	-0.7534014	-0.5275333	-1.1934924	1.4665519	-0.1977259	-0.7541509	-1.1515328	-1.2462275	-1.1975060	-0.8499589	-0.5588789	-1.3255706	-1.2824563	-1.2619683	NA	-0.5988556	-0.6778095	-0.2817273	-0.9454032	-1.2642169	NA	NA	-0.6843057	NA	-0.7436571	1.6844825	NA	-0.3401427	-1.0932028	-0.8433488	-0.6122338	0.5226034	0.8686513	-0.7736396	1.3678123	1.5999268	1.2193991	2.4924054	5.6757960	-0.4214197	-0.3754466	-0.2217864	NA	NA	0.0948060	0.8026425	0.2189833	NA	NA	-1.3334265	-1.3521656	-1.3744025	-1.0953156	-0.8821900	-1.2194930	-1.3199344	NA	-0.6076005	NA	NA	-0.6250874	-0.2310675	0.4370421	NA	-0.3379685	-0.3572073	NA	-0.2115424	0.2381951	-1.1444974	-1.1357524	-1.2169551	-0.4973754	-0.0886141	-1.0979501	-0.3656279	1.5267669	-0.7549005	-1.1441731	0.0686185	0.9765881	2.2805767	-0.2491958	-0.2721825	0.3867511	0.4177331	0.3260366	3.4244771	6.7612777	0.0751832	NA	0.1328994	3.9556665	9.7315426	-1.0538371	-1.0138603	-1.1262946	-0.6425772	NA	0.4537121	0.3962456	0.3227886	2.0105529	5.4300556	NA	NA	0.1941136	NA	NA	NA	NA	NA	NA	NA	NA	0.5737761	0.3688959	3.6674690	5.0471635	NA	-1.4893327	-1.4893327	-1.0231078	2.7596827	-0.8353535	0.0531275	0.1060966	-0.5795029	-0.2746810	NA	-0.5942916	1.4150347	2.0808959	1.6996185	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.489333	-1.489333	-1.4893327	-1.2360737	0.5093137	0.9593009	NA	3.7496715	NA	-1.4880468	-1.4083433	-1.4893327	NA	-0.4179218	-1.4563519	-1.4893327	-0.0759082	2.3017030	2.4611101	-1.4151932	0.3788263	0.2014297	-0.3332579	NA	1.0944082	NA	-1.5202041	0.9854501	NA	NA	7.3471856	-0.9526095	NA	-0.9820923	-0.6625289	-1.5115325	0.2629305	-0.6840529	-0.7944884	-0.4956630	0.9282552	0.9187609	-0.4372135	0.5990402	-1.7877187	NA	-1.8080190	-1.5327853	0.1051383	NA	0.0655671	0.384226	1.3324589	2.0565667
IgG1_TT	0.1965146	-0.2610709	0.0906852	0.1254389	0.4751655	0.5960060	-1.2126654	NA	-1.1924258	-0.3786578	0.3696113	0.0359725	-0.0808973	-0.1584371	NA	NA	0.2498364	0.2018580	0.1006559	0.2921269	0.6490475	-0.1160985	0.1132840	-0.1652607	0.2636445	0.5619249	-0.6380114	-0.5380971	-0.5267792	NA	-0.0959724	0.1128666	0.1801842	0.1742185	0.8096294	NA	-0.6334083	-0.6492066	-0.5749289	0.4058896	0.4331776	-0.7520058	-0.6997316	-0.7680802	0.4723234	0.3991137	-0.2387093	NA	-0.2873009	-0.2747802	0.2205890	0.1450531	-0.3788867	NA	-0.4374582	-0.4547294	0.3077409	NA	0.2109027	-0.1634557	-0.1385247	NA	0.3858865	NA	-0.1158768	-0.1334980	0.0931015	-0.1665307	0.1698698	0.4139913	0.4918190	-0.2000729	-0.1649740	-0.1375529	0.4040223	0.5881594	0.5890281	NA	0.0005735	NA	NA	NA	0.0978143	0.1888144	0.0379356	0.4759787	0.5236255	-0.3830943	NA	NA	-0.2530995	NA	NA	-0.1460061	-0.1293076	-0.2230722	0.0929344	0.3627872	NA	-0.1849062	-0.3034597	-0.2970275	-0.1756333	-0.0521603	0.4747721	-0.6172675	-0.6149806	-0.7016745	-0.3219565	-0.1934371	0.2527658	0.4856715	0.5851246	0.1041917	-0.0223426	0.2728790	0.6019282	0.7423130	-0.0667696	NA	-0.2533533	0.0620011	0.3867279	0.0167660	-0.1968713	-0.0030044	0.5458494	0.5519197	-0.2309653	-0.3502659	-0.3435926	0.4988666	0.5032454	-0.7205644	-0.7793273	-0.5615368	-0.0059550	-0.0454957	-0.4802727	-0.4480644	-0.4480644	0.4729604	0.4627082	-0.2564262	0.3050946	NA	NA	0.3792211	0.4868115	0.2370954	-0.3899869	-0.5104092	-0.4739337	0.0789055	0.2804375	0.2798259	-0.7798500	NA	-0.7044555	0.1507292	0.5284209	NA	0.4780046	-0.8758373	-0.8280827	-0.8221511	-0.1665474	0.2085898	0.5397542	-0.357417	NA	-0.3282394	0.0982982	-0.3771605	0.3897099	-0.1212292	-0.3421871	-0.7700127	-0.9498428	-0.9783044	0.4138736	1.0771050	-0.4717484	0.2022141	-0.0933403	NA	1.1377239	1.1973295	0.5663617	0.3571588	0.0855957	NA	NA	1.0278111	NA	0.0743964	0.6296277	NA	0.0996691	-0.1351769	-0.1451012	0.1091166	0.4084260	-0.0160551	-0.2079852	-0.5063558	-0.4644232	-0.5105281	0.1361626	0.6524961	0.0069526	0.0701643	0.0312419	NA	NA	-0.4334581	-0.2761292	-0.4475548	NA	NA	0.1205246	-0.1530054	-0.0398740	0.2807742	0.5222365	-0.0447319	-0.3715493	NA	0.7601522	NA	NA	-0.2403271	0.1730078	0.6885067	NA	-0.0412683	0.1009506	NA	0.5978228	0.7117590	0.4508951	0.3976971	0.4728001	0.8193171	0.9290214	-0.8170053	-0.3342000	0.3321905	-0.4774918	-0.8720808	-1.0231810	-0.3143513	0.4059823	-0.4643488	-1.0013057	0.0303717	0.0205070	0.0242025	0.6580185	1.0968051	0.2100527	NA	0.2230766	1.2221556	1.3202665	0.0416073	0.0859538	0.2656051	0.5492085	NA	0.3966779	0.3473542	0.3839818	0.6949441	0.9169154	NA	NA	-0.3674062	NA	NA	NA	NA	NA	NA	NA	NA	0.1545212	0.1193539	0.7125785	0.8124776	NA	-0.7432498	-0.7432200	0.6256522	1.3278358	-0.5564096	-0.0574214	0.5116034	-0.2627031	-0.4947178	NA	-0.4594462	0.6160175	0.5970033	0.7005978	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.061820	-1.061820	-0.2821196	-0.2036786	-1.0618203	-0.6844274	NA	0.0708648	NA	-0.7111159	-0.8133097	-0.8167371	NA	0.7121762	-1.0618203	-1.0618203	-0.5720322	0.1502683	0.1305388	-0.6830250	-0.2834816	-0.2980551	0.1965818	NA	0.5629476	NA	-0.7265475	-0.2796639	NA	NA	1.0906060	0.2530642	NA	0.3002717	0.4369473	-0.7711449	0.8244731	-1.0250943	-1.0180907	-0.6863260	0.0095097	0.3077463	-0.1226255	0.2018580	0.0926489	NA	-0.0879658	0.4773933	0.5874685	NA	-0.8648771	-0.773307	0.6619841	0.5685210
IgG1_DT	1.0016531	-0.0821348	0.6034883	0.6613220	0.0545173	0.8394760	-1.3719803	NA	-1.3579885	-1.3578024	-0.5928223	0.7794164	0.6550833	0.6155766	NA	NA	0.3725295	0.2507806	0.2146577	-0.0310370	0.6396562	-0.6412813	-0.3818061	-0.6454309	-0.5579355	0.1095567	-0.5370147	-0.4261847	-0.4080960	NA	0.3612247	0.6216000	0.7622396	0.6850859	1.1720091	NA	-0.6792346	-0.6763759	-0.6391837	0.4385868	0.5211303	-1.0887065	-1.0443974	-1.1100867	-0.0617067	0.0039232	-0.3835728	NA	-0.4529248	-0.4198717	0.3971899	0.1364408	-0.6270940	NA	-0.7102033	-0.7558226	-0.1817955	NA	0.2711741	-0.7127344	-0.6993642	NA	0.2772390	NA	-1.1010046	-1.1107419	0.0280856	-1.1345639	-0.4922030	0.2778176	0.8676542	0.2878128	0.3504645	0.3983672	0.7792250	0.8622667	1.1389731	NA	-0.6826258	NA	NA	NA	0.3621565	0.5574859	0.2483679	1.0369490	1.0766124	-0.3914281	NA	NA	-0.2178754	NA	NA	-0.0071037	-0.0118309	-0.1606395	0.0626086	0.1552279	NA	-0.6139548	-0.7392581	-0.7543035	0.0387800	0.2845397	0.6402458	0.1506950	0.1693168	0.1068355	0.1813843	0.3276947	1.0459148	0.7222227	0.8391043	0.7870473	0.6143557	0.8217901	0.9163107	0.9941813	-0.1265717	NA	-0.5687209	0.1045154	0.5768480	0.4222490	-0.2329713	0.3035947	0.5366354	0.4671500	-1.0951600	-1.1796432	-1.1709868	-0.2070870	-0.0595808	-0.9435663	-1.0816821	-0.7296702	-0.1721339	-0.3389050	0.3683349	0.3629222	0.3788322	0.6908816	0.5979092	0.6345953	0.8627361	NA	NA	0.8593346	0.9620093	0.7619816	-0.0417717	-0.2407563	-0.1573790	0.6400796	0.7673281	0.8369008	-0.6280912	NA	-0.5260156	0.9720494	1.3413767	NA	0.7395166	-1.2897236	-1.2519715	-1.2461214	-0.1108639	0.6636361	1.3266226	-1.018134	NA	-0.5319425	-0.0661061	-1.0508671	0.3177832	-0.4273614	-0.6895298	-0.4558722	-0.6230935	-0.6565223	0.4102584	0.8516034	-1.1222416	0.1634889	-0.0925663	NA	0.5186698	0.5112025	1.0267538	0.6715368	0.3285435	NA	NA	0.9369165	NA	-0.0483857	1.2401749	NA	-0.1532763	-0.2224166	-0.4571920	0.0196712	0.5377014	-0.1237553	-0.5158858	-1.0730817	-1.0730817	-1.0730817	-0.1840035	0.4974177	-0.6760558	-0.6553950	-0.6536926	NA	NA	-0.8466595	-0.7170069	-0.7746947	NA	NA	0.1713431	-0.1049087	-0.0009080	0.8692852	1.0150331	0.4989375	0.1434084	NA	0.5926465	NA	NA	-0.1638883	0.1371255	0.6215721	NA	0.2361554	0.2674562	NA	0.9185051	1.0197588	-0.0994092	-0.1848384	-0.0620340	0.9757673	1.1469351	-0.4263168	0.0136354	0.4472811	-0.1947141	-0.4963857	-1.0730817	-0.9490672	-0.6048745	-1.0730817	-1.0730817	-0.0472976	-0.0500059	-0.0560417	0.5798404	1.2078296	-0.0894705	NA	-0.0550745	1.0689298	1.2699670	-1.0730817	-1.0587275	-0.7881632	-0.1209029	NA	0.6123407	0.5199085	0.5605724	0.8576785	1.1282815	NA	NA	0.8517588	NA	NA	NA	NA	NA	NA	NA	NA	-0.4029542	-0.4233829	0.3778633	0.3791014	NA	-0.9404349	-0.9713875	0.1587687	1.2215255	0.3252506	0.3382506	0.2350625	0.2576191	0.3187892	NA	0.1483499	0.7812527	0.8601433	0.9477776	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.073082	-1.073082	-0.9841112	-0.5009027	-0.8739365	-0.6890334	NA	0.2975026	NA	-0.3875004	-0.4860070	-0.4993553	NA	0.5315591	-0.6745672	-0.6737548	-0.4517087	-0.1766562	-0.3051869	-0.5149674	-0.1248494	-0.1480252	0.1213784	NA	0.2057242	NA	-0.6058861	-1.0730817	NA	NA	0.1376054	-0.6796927	NA	-0.6276925	-0.1635972	-0.6291986	0.5095054	0.1310511	0.0745239	0.3134005	0.6208757	0.6849087	-0.2223480	-0.0537679	-0.5472537	NA	-0.7630059	1.1242512	1.1529442	NA	-1.3528341	-1.333747	0.9763993	0.9566952
IgG1_OVA	-3.5104623	-3.8010182	32.1286240	42.8126221	19.0365829	51.4580078	-0.8030863	NA	1.4919968	-3.2971003	2.0206981	-4.0742474	-4.0863075	-3.8545895	NA	NA	-4.0863075	-4.0863075	-4.0035195	-4.0863075	-3.9737334	-3.3608155	-2.5812383	-3.0354745	-3.9134257	-2.8567586	13.0564098	14.5233707	15.4690762	NA	9.4971581	-4.0319390	-3.9530060	-4.0003657	-3.7477806	NA	-3.9530060	-3.9372194	-3.9451127	-3.8109269	-3.6846342	-2.1217630	-1.1587818	-2.5480006	-0.5431051	-0.5667851	-2.6348267	NA	-2.9900248	-2.9031987	-3.5457931	29.5962467	-3.2031436	NA	-3.5425549	-3.6530609	-3.5457931	NA	35.4072113	-2.2954154	-2.2796288	NA	-3.2051921	NA	-3.9372194	-3.9687927	20.5076885	-4.0161524	-4.0863075	-3.5978079	14.4712009	-4.0164480	-3.9375153	-3.8901553	-3.9533017	-3.9217286	21.2368774	NA	-3.8427956	NA	NA	NA	-3.9690883	-3.9375153	-4.0477357	-3.8988056	-3.9583776	6.9867964	NA	NA	13.4987602	NA	NA	-2.1536319	-2.1694183	-2.3797197	-2.0967526	0.6435590	NA	-3.1481862	-3.5112777	-3.4520156	-3.6754105	-3.6307316	1.9321485	-4.0863075	-4.0863075	-4.0863075	-4.0863075	-4.0863075	-3.3901834	2.3080192	0.4888043	-4.0863075	-4.0863075	-4.0863075	-3.9814262	-4.0278573	18.8781567	NA	10.9324455	31.0585842	8.1912632	-3.9040411	-4.0863075	-3.9195180	-3.6254544	-3.7337937	-3.8885641	-4.0648036	-3.9736876	-3.9040411	-3.8576100	8.2454329	4.9097576	17.4233170	11.4723949	7.3941965	1.1527338	1.0234470	1.5201797	1.3024340	-0.8341975	20.2395229	-0.0449324	NA	NA	18.5060673	23.5656662	-1.4281373	-1.1676209	-2.4536829	-2.0045819	-1.3060880	-1.6454995	-1.4431722	1.8604078	NA	2.2890954	-3.6983976	-1.3755155	NA	0.1778502	-1.9093180	-1.1608164	-0.3442693	-1.1640089	-3.1689043	-1.2101324	6.277216	NA	-3.6630363	-3.9698651	5.0819464	-3.9605105	-3.9829614	-3.9979286	-4.1391821	-4.1391821	-4.1391821	-4.1391821	-4.1251502	1.8644915	-3.6948416	-4.0774422	NA	-3.8940933	-3.9502206	-0.6839130	-3.2785649	-3.9745424	NA	NA	-3.2374048	NA	-0.7331953	-3.7359848	NA	-0.5461047	-0.8828678	-3.0652814	-3.3244021	-3.3431110	-3.1026995	-3.4179473	-4.1391821	-4.1391821	-4.1391821	-4.1391821	-4.1326342	-4.1391821	-3.5294631	-3.9578025	NA	NA	3.1433249	3.4183483	3.5193772	NA	NA	15.0890694	7.4567022	10.4838295	12.1246166	11.3781233	-4.1270213	-4.1391821	NA	-4.1354403	NA	NA	4.9784880	4.9560375	5.7801723	NA	-2.1992478	-1.4059832	NA	-1.9756744	-2.1103797	-2.3133731	-2.6248794	-2.2787614	-2.4602394	-2.0327373	5.2948685	3.9721365	2.7738204	2.2911267	4.3219967	-3.9651878	-3.9586396	-3.9446077	-3.9418015	-4.0035415	-0.4078443	-0.4733260	-0.8381529	-1.6828678	-1.5865159	-4.1384335	NA	-4.1384335	-4.0944672	-4.0299211	-4.0420918	-4.0551882	-4.0346079	-4.0140281	NA	-4.1391821	-4.1391821	-4.1391821	-4.1391821	-4.1103702	NA	NA	-4.1047573	NA	NA	NA	NA	NA	NA	NA	NA	-0.7453561	-1.0475078	-1.5526528	-1.0952158	NA	-2.7490981	-2.4478819	-1.3384337	-0.1597624	-1.0905385	-0.9483497	-1.5451691	-1.7865162	-0.6368437	NA	-3.3477883	-2.5610719	-3.0568624	-3.4188828	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.818518	-2.874547	-3.2543414	-2.6528447	-0.2654684	0.3743820	NA	0.6915007	NA	1.4976649	0.8082356	0.5631471	NA	0.6304994	-2.5229149	-2.6641684	-2.7090702	-2.9055154	-3.0486398	-3.7059150	-3.9597719	-3.8933547	-3.9055154	NA	-3.9363854	NA	-3.7961240	-3.5508752	NA	NA	-2.5837097	3.1300316	NA	4.1337738	4.1253548	-3.8111589	4.5107613	5.5201159	4.3218002	4.0654860	4.6959810	3.9831657	-3.8562634	-3.5429683	-4.0863075	NA	-4.0863075	-4.0863075	-4.0135298	NA	-3.9983504	-3.952812	-3.8313770	-3.8769152
IgG2_PT	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	0.5221429	-0.3895640	-0.8518972	NA	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.1123753	-4.5517063	-4.4022961	-5.1912732	-3.8500116	-4.1656027	-5.2958417	-5.2958417	-5.2958417	NA	-2.7388361	-5.0023851	-4.9619646	-5.1640673	-4.8407030	NA	-5.0832262	-5.0832262	-5.0832262	-4.5981798	-4.6790209	-4.8407030	-3.6280875	-4.1939745	-3.8706105	-1.0411744	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	NA	-5.0023851	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-4.7598619	-5.2958417	-5.2197285	-5.2958417	-5.2958417	-4.7892828	1.5597868	-5.2958417	NA	-5.2958417	NA	NA	NA	-2.6370559	-3.0675013	-2.7475755	0.7119837	20.0056820	-5.0045056	NA	NA	-5.0045056	NA	NA	28.1397896	26.4180069	24.9288998	23.4208870	26.8804474	NA	-2.6908615	-2.8522785	-4.1668820	-2.8362823	-1.3282690	-1.9745207	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.0354567	-1.9230766	0.3919168	-5.0526047	-4.8868399	-5.2958417	-2.2346001	0.5005217	-3.3949549	NA	-2.0273943	-2.7318952	-3.5607200	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2183695	-4.9697218	-4.8039570	-5.2958417	-4.9697218	-5.0526047	-3.6436024	-2.6904540	-3.1877487	-4.1408973	-3.0634251	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-0.2254148	NA	NA	-5.2958417	-5.2958417	-1.9230766	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-2.0649500	-2.2831864	81.2280502	NA	69.2288055	-5.2958417	-0.3540254	NA	138.1527863	0.6743073	2.8800511	0.2772737	0.7556443	1.6958423	-0.1225262	-5.295842	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	3.8820968	-3.5096629	-3.5096629	5.8608422	14.0600357	-5.2958417	35.1436729	19.9166012	NA	40.4145813	44.5141792	-5.2958417	0.0042768	-1.7526932	NA	NA	3.5182166	NA	-5.2958417	-5.2155113	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-0.2398548	-5.2958417	-5.2958417	-5.2958417	NA	NA	26.4075203	24.9433784	22.6007538	NA	NA	-4.0953197	-2.9240062	-3.5096629	4.6895289	4.6895289	27.5301361	16.9883175	NA	14.6456928	NA	NA	-5.2958417	-5.2958417	-4.5388718	NA	-5.2958417	-5.2958417	NA	-5.2958417	-4.7101851	-5.2958417	-1.1962457	-3.5388720	-2.3675587	-1.7819023	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	15.3734531	18.3017349	11.8595123	15.0806236	15.9591084	-5.2958417	-5.2958417	-5.2958417	-1.7271404	2.6652837	4.7150817	NA	-2.3127971	2.9581122	10.5716476	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	NA	3.5437694	NA	NA	NA	NA	NA	NA	NA	NA	16.7441864	18.5011559	21.4294395	30.2142868	NA	-5.2666326	-4.0953197	-2.9240062	6.4464993	-5.2958417	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-5.295842	-5.295842	-5.2958417	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	NA	-2.9532154	-5.2958417	-5.2958417	-5.2958417	-4.5388718	10.6882000	-5.2958417	5.4172902	9.5168858	4.8316331	NA	17.7160797	NA	-5.2958417	14.6712437	NA	NA	17.5995274	-5.2958417	NA	-4.7101851	-1.4890738	-5.2958417	-2.0747304	3.0746636	4.8316331	4.2459769	7.7599168	21.2300186	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.2958417	-5.2958417	NA	-5.2958417	-5.295842	-4.7102637	-4.8688216

# abtiter <- head(results$abtiter$group1)
knitr::kable(results$abtiter$group1[1:10,], "html", align = "lccrr", booktabs=TRUE, border_left = T, 
             border_right = T, caption = "Ab-titer After Imputation")  %>% 
  kable_styling("striped", full_width = T) %>% 
  scroll_box(width = "100%", height = "400px")

Ab-titer After Imputation

	1	102	103	104	105	106	114	115	116	117	118	131	132	133	134	135	138	139	140	141	142	146	147	148	149	150	153	154	155	156	157	160	161	162	163	164	167	168	169	170	171	174	175	176	177	178	181	182	183	184	185	19	191	192	193	194	195	2	20	201	202	203	204	205	208	209	21	210	211	212	22	223	224	225	226	227	23	241	242	243	244	245	248	249	250	251	252	255	256	257	258	259	27	274	275	276	277	278	28	281	282	283	284	285	29	293	294	295	296	297	3	30	31	324	325	326	327	328	332	333	334	335	336	342	343	344	345	346	349	350	351	352	353	355	356	357	358	359	360	361	362	363	364	369	37	370	371	372	373	38	385	386	387	388	389	39	397	398	399	4	40	400	401	405	406	407	408	409	41	45	46	468	469	47	470	471	472	475	476	477	478	479	48	483	484	485	486	487	49	490	491	492	493	494	498	499	5	500	501	502	506	507	508	509	510	513	514	515	516	517	521	522	523	524	525	529	530	531	532	533	537	538	539	540	541	546	547	548	549	550	554	555	556	557	558	562	563	564	565	566	569	570	571	572	573	577	578	579	580	581	585	586	587	588	589	593	594	595	596	597	601	602	603	604	605	608	609	610	611	612	616	617	618	619	620	623	624	625	626	627	630	631	632	633	634	636	637	638	639	640	643	644	645	646	647	650	651	652	653	654	657	658	659	660	661	664	665	666	667	668	669	670	671	672	673	674	675	676	677	678	681	682	683	684	685	688	689	690	691	692	695	696	697	698	699	70	702	703	704	705	706	709	71	710	711	712	713	716	717	718	719	72	720	723	724	725	726	727	73	74	77	78	79	80	81	87	88	89	90	91
IgG_PT	3.7369928	1.5812347	2.010140	2.2775664	2.195769	3.164493	0.3022504	3.522818	1.0977635	0.8818521	5.4768775	9.9703212	8.0189071	7.8218446	3.522818	3.522818	2.2206311	1.5235791	1.1624513	10.3925653	9.9687486	3.4783819	3.6482768	4.1868060	9.2039151	9.275355	4.8572552	5.1131632	1.3536284	3.522818	7.2634604	5.8423045	0.5266750	0.1660504	1.3963377	3.522818	3.4813638	0.3164372	0.1071844	7.4763424	4.9046171	0.3212926	0.3451748	0.2889299	4.3562615	7.206233	0.2057462	2.854388	0.1632802	0.1562748	1.2879796	1.096367	0.6814115	2.867359	0.3191381	0.5004175	1.2589664	3.341299	0.7126858	0.6550312	0.2070172	3.522818	1.0322056	3.522818	0.7062273	0.2070172	0.5163202	0.5036125	0.0292144	2.3958921	6.4240592	0.9956856	0.7832446	1.0025206	1.9154429	4.0925982	7.041548	3.522818	0.1618886	3.522818	3.522818	3.522818	1.6457748	1.4969132	1.5909445	7.9525456	14.8636365	0.5564322	2.881711	2.748922	0.6278508	3.522818	3.522818	1.286317	1.779611	2.267049	4.0034311	4.2152126	3.484456	1.0573828	0.5230818	0.5929546	1.4585869	2.2563989	1.6274493	0.7070355	0.5414050	0.4815519	4.9186881	6.6036465	2.2555349	1.4212661	7.896542	1.1682756	1.0851741	1.0827208	7.9707818	8.8637319	1.0043168	2.748440	0.8011217	0.7730782	1.4447846	0.9035039	0.8018959	0.8908327	12.5800509	16.0170970	0.1030731	0.1344817	0.0292144	0.4232337	2.0982776	9.8426032	10.6538577	9.4371562	13.0435205	10.9679360	5.3135731	5.1486084	5.6632636	12.2698188	15.3092151	0.0292144	3.7980082	3.522818	3.522818	0.1948178	0.0292144	3.156481	0.4217756	0.3811579	0.1895943	0.9027600	2.8821793	2.237953	2.9231594	3.522818	0.0292144	3.2503705	5.9969504	3.522818	5.9951112	17.0899177	8.8655620	6.1400526	6.7341740	11.9511638	5.3272040	0.2133291	2.763319	1.0000012	0.9866974	0.1993454	1.1130834	1.9889147	2.6962318	1.1082165	2.4408107	2.3343806	7.5583272	13.7334943	0.1749353	2.4718528	3.9153118	3.522818	13.5428061	16.9995685	9.1288877	3.1326067	4.4940259	3.522818	3.522818	4.9530060	3.522818	0.7427950	10.8741136	3.522818	4.474502	16.2993369	1.5055444	1.3104224	1.3281608	16.399114	18.2660766	0.6314874	0.5893588	0.5716205	3.2767200	18.8776069	1.0771403	1.0660539	1.1015306	3.522818	3.522818	1.1037712	1.1170750	1.0815983	3.522818	3.522818	0.3853784	0.5738485	0.5028949	0.4496799	1.7844914	6.4984605	8.5095468	3.522818	6.4142034	3.522818	3.522818	2.5321519	3.188471	8.5476737	3.522818	2.6891139	2.884236	3.522818	8.709070	11.970710	0.4341249	0.4784708	0.5228167	2.225699	3.420821	0.1308217	0.0864756	0.104214	0.4634159	1.2084270	10.6031060	9.8070970	9.9711766	10.0199571	11.0598683	0.6141920	0.8093138	0.5521076	1.9866974	4.4922407	0.9933493	3.522818	0.9423516	4.3902452	7.3747241	4.0022185	3.4656332	3.9578726	4.3436821	3.522818	0.3835931	0.4146354	0.3658547	1.1840367	2.2039924	3.522818	3.522818	2.6563206	3.522818	3.522818	3.576296	3.754640	3.064391	3.626287	2.736969	3.522818	1.3055449	1.3543253	2.937474	3.870955	3.522818	0.5295026	0.5028949	1.3543363	4.212429	0.2594247	0.2904668	0.2860322	0.9556553	1.4966753	3.522818	0.2079840	3.314414	4.183594	5.4563210	3.294715	2.552136	3.123591	3.121539	3.006906	2.258819	2.774318	3.042941	3.204605	2.359311	3.522818	0.0571847	0.0460982	0.5959873	1.1880050	0.2656336	0.2478952	3.522818	0.6824851	3.522818	0.9019742	0.7445462	0.9463201	3.522818	4.323260	0.1796021	0.1973405	0.2239480	1.5986708	3.3503337	0.2208111	1.9844801	1.9135267	1.9578726	3.522818	5.7228391	3.522818	0.1935170	4.9423516	3.522818	3.522818	8.8137488	3.9174950	3.522818	4.3010871	5.870932	0.3498769	9.567163	0.6984491	0.7782717	0.6984491	1.2439036	3.4235046	0.9079618	0.9488645	0.0292144	3.456888	0.0292144	0.2527924	0.2082853	3.522818	1.9696002	1.9205167	29.0916371	22.5918393
IgG_PRN	2.6023498	1.1855303	1.401831	0.4081299	13.653467	15.279097	1.0428586	2.426857	2.1613955	5.5886257	18.3410318	0.4015434	0.3789153	0.3804400	2.426857	2.426857	1.9658189	1.2581052	0.9023890	0.6842489	0.5627236	2.5848715	0.4210436	0.4305665	0.5157421	0.549679	0.5063647	0.5134385	2.3731952	2.426857	0.4425445	2.2055511	14.4174383	6.5191810	12.1626174	2.426857	1.4681339	1.9693500	0.8022115	0.5303092	0.5061731	0.3523552	0.3866444	0.2978511	0.5751565	35.471199	1.0921296	3.018058	0.9799691	0.9325614	4.4058731	7.652635	0.7411332	3.167878	0.3998141	0.5729725	6.2689435	2.232842	5.2914412	1.1758313	0.3776579	2.426857	5.3099687	2.426857	0.7990227	0.2746856	3.6757696	0.6054654	0.5266833	0.4851398	10.4767816	6.3507097	5.0773404	6.5676115	7.9147317	0.5131007	8.076863	2.426857	3.3869085	2.426857	2.426857	2.426857	1.4787325	1.3906149	1.3426709	0.6077573	0.7723060	0.1826096	2.442939	2.695235	0.2026150	2.426857	2.426857	1.355020	2.040444	3.075334	0.4553121	7.7043612	4.237620	4.0451138	1.9882151	2.4407439	4.3618357	4.5852334	4.0761225	0.4792590	0.3809428	0.3247201	0.4812442	0.5708542	1.3703929	2.9558842	7.771326	4.8980062	4.3467762	4.3434989	0.5460345	0.5793166	1.4787934	2.566290	1.2265573	1.1782404	10.0630949	0.6571077	0.5902703	0.6288208	0.6349801	0.7230817	0.1398356	0.1542141	0.0686698	1.4024349	12.2405822	0.3261633	0.3397171	0.3209589	0.5566733	0.5372803	0.4585729	0.4656755	0.4661202	0.5624018	0.6535797	1.0440180	5.2682736	2.426857	2.426857	5.1025407	0.5870807	4.585033	0.2489760	0.2307067	0.1306448	2.3912017	0.6257405	3.405461	1.9516479	2.426857	0.4029770	2.2351372	5.2903202	2.426857	0.5416849	0.3856778	0.2341795	0.1797864	0.3850029	0.4744513	5.0623977	0.0901756	2.112986	0.1105804	0.1121204	0.0895100	0.1122389	1.2584991	2.5092771	0.6832173	1.1061450	1.2446992	2.4833553	3.4801238	0.0853019	0.0793281	0.1394644	2.426857	1.6700356	2.7107120	2.2562382	0.8658371	1.5285201	2.426857	2.426857	1.9488024	2.426857	0.5566862	7.6599562	2.426857	3.366899	3.5639315	1.7129363	1.6552876	1.7069739	3.507428	3.5721443	0.2809708	0.3066759	0.2630842	1.6938363	3.1132565	2.8438480	2.7458849	2.8064950	2.426857	2.426857	1.3270568	1.3621593	1.3344406	2.426857	2.426857	2.1470978	2.7419844	2.6397963	2.1485193	3.3909659	0.8311296	1.2886859	2.426857	3.8123538	2.426857	2.426857	3.4205310	3.373543	3.5159276	2.426857	1.6968770	1.729097	2.426857	2.840729	3.239886	2.0503895	2.0340426	2.0935471	3.385587	3.589253	2.5067105	2.3023343	2.372776	3.8984909	3.9115605	0.0793281	0.0793281	0.0793281	1.9943485	2.7242749	1.0961248	1.1152357	1.0087436	1.3430269	1.8275518	0.1923048	2.426857	0.2259858	1.6746249	3.2789154	0.1074321	0.1147764	0.1029308	0.2869720	2.426857	1.9927585	1.8517563	1.8480446	3.0825152	3.1488111	2.426857	2.426857	1.1709890	2.426857	2.426857	2.000120	1.910354	1.652151	1.824502	1.672133	2.426857	2.9914441	3.0377209	3.285294	3.222275	2.426857	0.9078100	0.9460319	2.3780477	3.796244	0.9045918	0.8960235	1.0778141	3.5602987	3.6365845	2.426857	0.2130561	3.055568	2.776288	3.2851362	2.188875	1.830523	2.068960	1.945736	1.733936	1.529356	1.653916	1.634003	1.752227	1.780001	2.426857	0.1469975	0.1612515	3.0183339	3.3475235	2.0977323	2.1255300	2.426857	3.2409520	2.426857	0.7201669	0.5818892	0.6901581	2.426857	3.485801	1.0458413	1.0283098	0.9646595	2.2790484	3.3933256	0.1554000	2.0435576	2.0259078	1.9336303	2.426857	2.9636061	2.426857	0.1499608	1.3541222	2.426857	2.426857	3.1545365	0.9999998	2.426857	1.0799181	2.801243	2.2504950	2.929057	0.8957574	1.0351014	0.9541564	2.0247626	3.1213899	4.0113409	4.0510828	0.0667379	2.764127	0.0737424	10.8131864	9.8438938	2.426857	6.4768684	6.1083567	9.7070720	7.7728841
IgG_FHA	34.0509562	1.1102328	5.075367	2.3413615	75.284751	22.129840	1.2156253	5.538230	0.5959520	1.1217999	0.0844374	2.4494023	2.3267596	2.3260980	5.538230	5.538230	10.4575734	5.4772315	0.8013916	3.1514628	3.1136510	1.0603971	1.8442028	1.8925726	2.3104846	2.243943	1.9078827	1.9034328	12.1002860	5.538230	2.5351613	14.2434878	0.8896036	0.3441730	17.3114667	5.538230	3.4111037	0.5197883	0.2705379	2.4387636	2.3306842	2.2253790	2.0961375	1.8918366	3.1136510	67.224090	0.5243134	4.507049	0.5031929	0.4936628	2.1061618	1.096458	0.2706361	4.791968	0.1575184	0.2090054	1.3426528	4.440919	0.7504683	0.9761715	0.3815584	5.538230	2.3839681	5.538230	2.2045860	0.7813473	0.6057515	1.7559135	2.2670491	2.2375379	0.0844374	4.9823031	4.1202965	6.0922012	12.1363225	2.5720844	11.564210	5.538230	0.3683038	5.538230	5.538230	5.538230	0.7452650	0.6668673	0.6960435	2.2804146	3.3419938	0.5905805	3.974892	3.952991	0.6741714	5.538230	5.538230	2.385304	3.458819	7.264579	2.3139629	0.0844374	5.817619	3.0093710	1.4224973	1.5990877	2.4180975	3.4111037	0.8198256	0.7641492	0.6419945	0.5887675	2.3373652	2.9561434	4.4389601	0.7059655	2.931146	0.8261938	0.7667198	0.8053212	2.1620071	2.6174226	1.0238295	4.150401	0.8412752	0.8038468	4.3320222	0.4429469	0.4050984	0.4391875	2.3927307	2.8868721	0.2663746	0.2795963	0.1433153	4.1940255	0.0844374	2.0723867	2.1114652	2.0649045	2.4783111	2.4916954	1.9602535	1.9934521	1.9776535	2.5152376	2.9945085	0.3966227	0.0844374	5.538230	5.538230	2.1283293	2.5404742	10.531455	0.5288677	0.5126472	0.3060045	1.3957477	2.6794205	4.666935	0.0844374	5.538230	2.3477535	10.3375630	0.0844374	5.538230	3.0288441	2.7431171	3.0003376	2.2307777	2.1532247	3.0163081	0.0844374	0.3792901	4.447190	10.6423736	10.6716552	0.3832059	10.6739078	14.3972030	19.6645513	6.0661802	11.3098779	11.3954701	24.0103030	35.7556872	0.3847098	2.8845987	3.8407626	5.538230	20.9559827	33.7588916	10.0848126	5.4478836	7.8332253	5.538230	5.538230	25.2322536	5.538230	9.4215465	0.0844374	5.538230	13.585196	21.0610681	12.4229331	8.8122602	10.6018291	15.478378	19.6499104	3.0271163	0.6012306	4.0902715	6.3314567	10.5705619	1.1687050	1.2655602	6.5588112	5.538230	5.538230	2.1430309	2.9122417	1.4774327	5.538230	5.538230	9.2083440	15.7235475	12.5194421	10.8301063	24.5148501	24.1634669	37.5339923	5.538230	39.6580501	5.538230	5.538230	0.2507582	0.789093	0.3611279	5.538230	0.7463708	5.578997	5.538230	5.276042	7.028446	0.5413985	1.2419095	2.1721702	7.619714	7.986863	7.3076253	5.3952975	4.095635	9.9992995	28.9097209	22.2379718	17.8209233	13.9534707	18.5293164	21.0621934	0.0476222	0.1343412	0.0588841	0.0746517	0.0588841	0.0723991	5.538230	0.0678940	0.1557398	0.1579919	0.1539030	0.0930867	0.1584077	0.2394958	5.538230	0.1028070	0.1895261	0.1005545	0.1388464	0.2289443	5.538230	5.538230	0.1230793	5.538230	5.538230	6.840615	6.680777	5.822939	6.357722	5.602552	5.538230	0.1946640	3.6634328	5.861821	6.691848	5.538230	9.6610866	9.9899440	21.3343930	59.371471	8.9913297	8.7762208	10.5984502	20.0260682	22.9238429	5.538230	0.1080313	3.578966	2.256779	4.3470507	6.954188	5.629537	6.480023	5.812941	5.871298	4.704841	5.475677	5.608955	5.596861	5.435827	5.538230	0.0318551	0.0318551	0.0318551	0.2159195	0.6800666	0.0978088	5.538230	7.9092956	5.538230	1.1777148	0.0447335	0.3769698	5.538230	9.273010	0.0318551	0.0318551	0.0318551	0.0728149	0.1156111	0.3759470	0.0908341	0.0581737	0.1099801	5.538230	0.1460195	5.538230	0.3354015	0.0836611	5.538230	5.538230	0.1061859	0.2925029	5.538230	5.4393449	5.134138	0.6447062	8.499295	0.1482716	0.0683098	0.1741748	0.1415143	0.3509922	5.8343496	5.9912772	0.1046934	5.321197	0.1067657	2.4787986	2.2369683	5.538230	3.0367246	2.8561492	19.5080438	35.9892955
IgG1_PT	7.3347144	3.3842459	2.950871	3.6929941	4.828696	16.543525	0.0487862	9.912130	0.1202164	0.2414303	3.5190992	20.1184130	17.6003351	15.1221628	9.912130	9.912130	3.1036615	2.6587248	2.3924432	6.9577770	19.6916342	5.5692458	8.5184259	5.6573968	6.5432572	17.147582	0.8130503	0.8078632	0.8292189	9.912130	11.1642208	0.1479988	0.1650600	0.1726427	2.3839760	9.912130	0.0958672	0.0955515	0.1182995	12.8886757	14.5606813	0.0898638	0.1113491	0.0784903	6.2069688	13.218211	0.0731192	8.970100	0.0617447	0.0607967	1.5206547	1.424099	0.6813221	8.941114	0.5028105	0.4168720	0.6323767	9.469834	1.8376722	0.8828983	0.8367691	9.912130	5.5899243	9.912130	0.2279339	0.2175083	1.0613327	0.1909685	2.7834997	7.5786648	10.5464315	0.3511839	0.4100428	0.4949875	1.3578110	4.7927175	17.118222	9.912130	0.0207691	9.912130	9.912130	9.912130	1.6497660	2.2233095	1.8225880	15.2497768	21.1475554	0.7926283	8.844158	8.640283	1.2113314	9.912130	9.912130	2.946008	2.962395	2.497689	5.4258847	9.2837925	9.320678	1.1437769	0.6882868	0.7935476	1.9609857	3.7492247	4.4071813	0.6713743	0.7190514	0.5573120	8.4686394	11.2749920	8.2844772	4.4874573	14.426776	1.2749767	0.9682484	2.1051712	13.2646351	19.5522490	0.1646709	8.618299	0.0690708	0.3234215	0.7404203	1.3256760	0.6556435	1.4435501	22.4988070	23.9367552	0.0290508	0.0046396	0.0119400	0.0556679	0.0708780	15.5283413	8.2670031	19.5823526	20.8504591	18.6897345	12.3557768	12.7741194	13.1698875	23.0875235	21.8122072	0.0052376	7.4563141	9.912130	9.912130	0.0279579	0.1120987	5.898553	0.1021080	0.0355282	0.0721045	0.4087353	3.7519245	6.215254	1.1653957	9.912130	1.5654507	6.5576973	13.6768560	9.912130	2.4851952	8.5909786	9.5996866	9.7842836	13.7692842	16.8636808	12.9574203	0.0841331	8.848931	3.1949978	5.6006832	0.0678749	11.7111235	4.3497267	1.8478146	0.9779749	0.1150913	0.1150913	37.0632534	91.6723080	0.0407772	3.5761147	0.5930653	9.912130	109.0894680	136.8991833	0.8645382	8.4837132	1.7477942	9.912130	9.912130	18.3470221	9.912130	7.5252314	19.3869505	9.912130	19.264975	1.7515869	2.8582020	49.8171787	80.9948559	10.748850	2.5214062	2.4906120	3.0679770	2.2981577	11.8246708	152.4610348	8.5538530	10.3340597	9.8529224	9.912130	9.912130	0.1150913	0.4273739	0.1150913	9.912130	9.912130	0.1150913	0.1150913	0.1150913	0.1150913	0.8817472	0.2081556	0.1150913	9.912130	4.7308440	9.912130	9.912130	12.1631575	35.786989	92.9460659	9.912130	15.2416573	16.636954	9.912130	55.464716	91.549993	0.1150913	0.1150913	0.2301817	11.007651	19.379435	0.1157207	0.9817677	3.916703	0.5968580	0.1157207	16.6187220	17.6772223	21.7668886	11.9516926	15.1271963	2.2031164	1.7219791	1.8182068	30.6864300	80.6284542	0.5672503	9.912130	0.4710226	25.1052408	66.4349155	18.4660540	18.1773710	21.7858992	47.9597569	9.912130	0.1150913	0.1150913	0.1150913	3.9833231	14.3277702	9.912130	9.912130	1.4332972	9.912130	9.912130	10.630465	10.346053	10.230792	10.276800	10.456135	9.912130	0.1811543	0.2773819	10.766170	18.175681	9.912130	0.1150913	0.1150913	2.3251586	19.838548	0.6930847	3.0987701	11.7592373	1.2223358	1.8478146	9.912130	0.1150913	9.707668	14.134129	22.9870501	10.525501	10.453977	10.464824	10.462035	10.419111	10.006665	10.222902	10.297222	10.402202	10.292739	9.912130	0.1150913	0.1150913	0.1150913	2.8094587	0.2349186	0.9509735	9.912130	6.3878226	9.912130	1.0000010	0.4226360	0.4037733	9.912130	14.808635	0.1150913	0.1150913	2.5933356	10.0942678	13.3660002	0.0046396	4.2243962	3.7913733	16.6377325	9.912130	25.1057444	9.912130	0.0046396	15.0545330	9.912130	9.912130	76.7312450	15.0492029	9.912130	17.8397970	29.194632	0.0046396	63.788385	0.1150913	0.1150913	0.1876507	6.0527172	10.3829508	0.0638103	0.4999714	0.0046396	9.568645	0.0046396	0.0046396	0.0281639	9.912130	2.0303774	2.7105927	28.1057072	26.4512577
IgG1_PRN	2.1747829	1.4424157	1.245463	1.1905797	2.355310	3.028578	0.0821922	1.733310	0.1214987	0.2549949	1.2495632	1.5017186	1.3129585	1.1262702	1.733310	1.733310	1.4738848	1.3797218	1.1597431	1.8400565	2.8758327	1.4744545	1.8453907	1.3322468	1.5238820	2.490882	0.8892972	1.0014327	1.0526938	1.733310	1.8262873	2.6565644	3.0431207	2.7406691	3.1410350	1.733310	1.4396495	1.4178908	1.5123051	2.4569918	2.4733785	0.2457957	0.2807399	0.2354318	2.3114635	2.324622	1.4479514	1.729711	1.3528588	1.3459134	1.9621503	3.161590	0.5134659	1.939355	0.4294968	0.3998702	1.9042227	1.505176	3.2494935	1.1939821	1.1682895	1.733310	1.1578164	1.733310	0.4563290	0.4240978	3.1250614	0.3989207	2.0333823	2.4304715	3.3096055	2.4817928	2.6239775	2.6469525	2.7544054	2.9732491	3.545524	1.733310	1.8325709	1.733310	1.733310	1.733310	0.1747135	0.2183406	0.1821243	2.8763820	2.8525292	0.0682805	1.566569	1.555843	0.0777707	1.733310	1.733310	2.222353	2.192211	1.939879	2.3904082	2.7822524	1.577984	2.3101174	2.1286117	2.0173451	2.0582515	2.2569882	2.6397818	0.3317063	0.3700770	0.3288639	2.2325221	2.5205957	2.2524873	2.6513249	2.945280	2.3869313	2.2044874	2.6251444	2.9327251	3.2637945	1.2230920	1.367288	0.8719541	1.5163870	2.7293745	0.7800999	0.5049355	0.7952098	2.8914341	2.9104999	0.0319724	0.0250465	0.0207087	1.3379539	2.0806144	0.2480426	0.1840147	0.3769978	2.7230560	2.6137708	1.8127539	1.8471560	1.8495145	2.8669649	2.8776802	0.5042958	2.7600642	1.733310	1.733310	2.5053073	2.8589422	2.577595	0.1254373	0.0607090	0.0950341	1.4681016	2.6457092	2.644516	1.1992075	1.733310	1.3875730	2.0497371	2.9506868	1.733310	2.7272683	0.0396883	0.0560691	0.0649388	0.9270425	1.7216806	2.9777182	0.0254788	1.667589	0.0674881	0.5475425	0.0240761	1.8477411	0.4024670	0.0102215	0.9836308	0.6284547	0.5463724	2.4515036	4.3172255	0.0183191	0.0491381	0.0096056	1.733310	2.0311173	2.7485512	0.2390416	1.5533414	0.8330135	1.733310	1.733310	2.3383251	1.733310	1.1518593	2.9392313	1.733310	1.405310	0.1828834	1.2774148	2.1144310	2.8053252	1.774834	1.2046307	0.0372802	0.0475020	0.0348172	1.3955460	2.8987025	3.0684949	3.0602435	2.9207100	1.733310	1.733310	1.2645102	1.4811996	1.4122334	1.733310	1.733310	2.5918993	1.8780986	2.1390620	2.8160397	3.3539149	1.1103563	0.4359033	1.733310	4.6478324	1.733310	1.733310	3.4572920	3.477982	3.5984880	1.733310	1.8959454	2.181170	1.733310	2.808394	3.400518	2.3113440	2.2077714	2.3027231	3.389188	3.922753	1.9925086	2.5498422	3.258409	2.4329690	1.8918302	0.0072657	0.6426790	1.6609780	0.3623188	0.0050490	2.2421311	2.2199634	2.1366497	2.8749582	3.7377138	0.0771450	1.733310	0.1260986	1.7271010	3.8686266	0.0220336	0.0070703	0.0586102	0.5121865	1.733310	1.9413891	1.8402796	1.8309199	2.8895520	3.6112345	1.733310	1.733310	1.4198318	1.733310	1.733310	1.836815	1.742201	1.736368	1.860434	1.765189	1.733310	3.0152677	2.9751195	3.560779	3.540704	1.733310	0.4006197	0.4218638	2.4638807	4.704668	0.5218649	1.7195377	2.9217058	1.1616499	0.6373217	1.733310	0.5991089	3.361577	3.227031	3.3701977	1.855798	1.347420	1.845985	1.620848	1.950753	1.679185	1.711584	1.765740	1.843036	1.670602	1.733310	0.0436473	0.0208998	1.2322428	1.6864349	2.0327450	2.3111962	1.733310	3.3190888	1.733310	0.6533828	0.5105858	0.4769647	1.733310	3.380629	0.6743804	0.6349711	1.3307914	2.4844366	2.6460763	0.0538545	1.7506235	1.7440963	2.3062943	1.733310	2.7561146	1.733310	0.0390091	0.8966172	1.733310	1.733310	3.7646842	0.9406396	1.733310	1.1089296	2.636717	0.0360868	3.587281	0.9999996	1.1917504	1.3812845	2.5701519	2.7636884	1.0726612	2.0478157	0.0326678	1.727154	0.0137311	2.2578937	2.6401395	1.733310	2.8585240	3.0103351	3.4351405	3.3416828
IgG1_FHA	3.0132533	1.3647882	2.270101	2.2337550	2.168239	3.313178	1.2368116	1.835354	1.2154666	1.1847113	2.6942235	2.4569117	2.3283175	2.2032114	1.835354	1.835354	2.3107885	2.2074667	2.0182487	2.1104478	3.1890651	0.9102672	1.2452062	0.9028926	1.3343319	2.147420	0.2439390	0.2731113	0.2659246	1.835354	2.2442168	0.9090808	0.9792905	0.9960756	2.9941279	1.835354	0.6336371	0.6301122	0.6979241	2.5947379	2.8021780	1.7972052	1.8360507	1.7295372	2.8570653	2.824358	0.8281286	1.615286	0.7875566	0.7937911	1.7608639	1.287516	0.2952251	1.622975	0.2649640	0.2325448	0.9524925	1.698485	1.4038049	1.0845093	1.0628325	1.835354	1.7249265	1.835354	1.4689363	1.4877596	1.1305259	1.4409771	1.8101040	2.5503772	2.7163907	2.0959159	2.2148267	2.2240621	2.3395783	2.7667989	3.032952	1.835354	0.3505915	1.835354	1.835354	1.835354	0.5996454	0.7086720	0.5701632	2.1553355	2.8298370	0.8874877	1.515090	1.457788	1.1170726	1.835354	1.835354	2.202197	2.158267	2.027266	2.3908130	2.7640969	1.693407	2.0566283	1.7786704	1.7337103	1.7118629	1.9940996	1.3525776	0.5477722	0.5481923	0.5130732	2.1221195	2.8435286	3.0955578	1.4187419	2.008031	0.9160230	0.8064926	1.1786220	1.8695101	3.1170024	1.0427241	1.267145	0.6863723	1.2770478	2.0075604	0.5046113	0.3054662	0.4890059	2.5981637	2.8918267	0.2031212	0.1531309	0.1380095	1.9849108	2.0822114	1.3378056	0.9453661	1.6843258	2.4692124	2.3820871	1.6153157	1.6209217	1.6506839	2.9012886	3.0151416	0.3785211	2.8648344	1.835354	1.835354	1.8870927	2.8784093	2.685138	0.4553194	0.3024520	0.3807087	1.0877824	2.5324038	2.818419	2.1190852	1.835354	2.2097391	2.8996209	3.0990163	1.835354	2.8270088	1.4658666	1.4984546	1.5560647	1.7941978	2.6639374	3.1047806	0.6541926	1.281006	1.0819529	1.3078210	0.6418619	3.3019062	1.6376284	1.0812035	0.6838216	0.5891268	0.6378484	0.9853954	1.2764754	0.5097837	0.5528980	0.5733861	1.835354	1.2364987	1.1575449	1.5536270	0.8899512	0.5711374	1.835354	1.835354	1.1510487	1.835354	1.0916972	3.5198368	1.835354	1.495212	0.7421515	0.9920055	1.2231206	2.3579577	2.704006	1.0617148	3.2031666	3.4352812	3.0547534	4.3277597	7.5111504	1.4139346	1.4599078	1.6135679	1.835354	1.835354	1.9301603	2.6379968	2.0543376	1.835354	1.835354	0.5019279	0.4831887	0.4609518	0.7400388	0.9531643	0.6158613	0.5154200	1.835354	1.2277539	1.835354	1.835354	1.2102669	1.604287	2.2723964	1.835354	1.4973859	1.478147	1.835354	1.623812	2.073549	0.6908569	0.6996019	0.6183993	1.337979	1.746740	0.7374042	1.4697264	3.362121	1.0804539	0.6911812	1.9039729	2.8119425	4.1159310	1.5861585	1.5631719	2.2221054	2.2530874	2.1613909	5.2598314	8.5966320	1.9105375	1.835354	1.9682537	5.7910209	11.5668969	0.7815173	0.8214940	0.7090597	1.1927772	1.835354	2.2890664	2.2315999	2.1581429	3.8459072	7.2654099	1.835354	1.835354	2.0294679	1.835354	1.835354	2.111426	1.793673	1.923617	1.925804	2.102379	1.835354	2.4091305	2.2042502	5.502823	6.882518	1.835354	0.3460217	0.3460217	0.8122466	4.595037	1.0000008	1.8884819	1.9414510	1.2558514	1.5606734	1.835354	1.2410628	3.250389	3.916250	3.5349728	2.029782	1.852398	2.144823	1.929794	2.139065	1.972028	1.827096	1.952091	2.059043	2.114704	1.835354	0.3460217	0.3460217	0.3460217	0.5992806	2.3446680	2.7946552	1.835354	5.5850258	1.835354	0.3473076	0.4270110	0.3460217	1.835354	1.417433	0.3790025	0.3460217	1.7594461	4.1370573	4.2964644	0.4201611	2.2141806	2.0367841	1.5020964	1.835354	2.9297625	1.835354	0.3151503	2.8208045	1.835354	1.835354	9.1825399	0.8827448	1.835354	0.8532621	1.172826	0.3238218	2.098285	1.1513014	1.0408659	1.3396913	2.7636095	2.7541152	1.3981408	2.4343945	0.0476357	1.804931	0.0273353	0.3025690	1.9404926	1.835354	1.9009215	2.2195803	3.1678132	3.8919210
IgG1_TT	1.4288520	0.9712664	1.323023	1.3577763	1.707503	1.828343	0.0196719	1.232337	0.0399115	0.8536796	1.6019486	1.2683098	1.1514400	1.0739002	1.232337	1.232337	1.4821738	1.4341954	1.3329933	1.5244642	1.8813848	1.1162388	1.3456213	1.0670767	1.4959818	1.794262	0.5943260	0.6942403	0.7055582	1.232337	1.1363649	1.3452040	1.4125216	1.4065559	2.0419668	1.232337	0.5989290	0.5831308	0.6574085	1.6382270	1.6655149	0.4803315	0.5326058	0.4642571	1.7046608	1.631451	0.9936281	1.212243	0.9450364	0.9575572	1.4529264	1.377390	0.8534507	1.287744	0.7948792	0.7776079	1.5400783	1.306879	1.4432400	1.0688816	1.0938127	1.232337	1.6182239	1.232337	1.1164606	1.0988394	1.3254389	1.0658066	1.4022071	1.6463287	1.7241564	1.0322645	1.0673634	1.0947845	1.6363597	1.8204968	1.821365	1.232337	1.2329109	1.232337	1.232337	1.232337	1.3301517	1.4211518	1.2702730	1.7083161	1.7559628	0.8492431	1.190636	1.129644	0.9792379	1.232337	1.232337	1.086331	1.103030	1.009265	1.3252717	1.5951246	1.165292	1.0474311	0.9288777	0.9353099	1.0567040	1.1801771	1.7071095	0.6150699	0.6173567	0.5306628	0.9103809	1.0389003	1.4851031	1.7180089	1.817462	1.3365290	1.2099948	1.5052164	1.8342656	1.9746504	1.1655678	1.213371	0.9789841	1.2943385	1.6190653	1.2491033	1.0354661	1.2293329	1.7781868	1.7842571	1.0013721	0.8820714	0.8887447	1.7312039	1.7355827	0.5117730	0.4530101	0.6708006	1.2263824	1.1868416	0.7520647	0.7842730	0.7842730	1.7052977	1.6950456	0.9759111	1.5374320	1.232337	1.232337	1.6115584	1.7191489	1.469433	0.8423505	0.7219281	0.7584037	1.3112428	1.5127748	1.512163	0.4524873	1.232337	0.5278819	1.3830665	1.7607583	1.232337	1.7103419	0.3565000	0.4042546	0.4101863	1.0657899	1.4409271	1.7720915	0.8749204	1.279662	0.9040979	1.3306355	0.8551769	1.6220473	1.1111082	0.8901502	0.4623247	0.2824946	0.2540330	1.6462109	2.3094424	0.7605889	1.4345515	1.1389971	1.232337	2.3700613	2.4296669	1.7986990	1.5894961	1.3179331	1.232337	1.232337	2.2601484	1.232337	1.3067337	1.8619651	1.232337	1.332007	1.0971605	1.0872362	1.3414539	1.6407634	1.216282	1.0243522	0.7259816	0.7679141	0.7218092	1.3685000	1.8848335	1.2392900	1.3025017	1.2635792	1.232337	1.232337	0.7988792	0.9562082	0.7847825	1.232337	1.232337	1.3528620	1.0793320	1.1924634	1.5131116	1.7545738	1.1876055	0.8607880	1.232337	1.9924896	1.232337	1.232337	0.9920102	1.405345	1.9208441	1.232337	1.1910690	1.333288	1.232337	1.830160	1.944096	1.6832324	1.6300344	1.7051375	2.051655	2.161359	0.4153321	0.8981374	1.564528	0.7548456	0.3602566	0.2091564	0.9179860	1.6383196	0.7679886	0.2310317	1.2627090	1.2528443	1.2565398	1.8903558	2.3291425	1.4423901	1.232337	1.4554139	2.4544929	2.5526038	1.2739446	1.3182912	1.4979424	1.7815459	1.232337	1.6290152	1.5796915	1.6163192	1.9272815	2.1492528	1.232337	1.232337	0.8649311	1.232337	1.232337	1.285519	1.419585	1.344430	1.440337	1.163317	1.232337	1.3868586	1.3516912	1.944916	2.044815	1.232337	0.4890876	0.4891174	1.8579895	2.560173	0.6759278	1.1749159	1.7439407	0.9696343	0.7376195	1.232337	0.7728912	1.848355	1.829341	1.9329351	1.216167	1.023464	1.160147	1.188565	1.228849	1.045916	1.243658	1.268673	1.244537	1.046301	1.232337	0.1705171	0.1705171	0.9502178	1.0286587	0.1705171	0.5479099	1.232337	1.3032022	1.232337	0.5212215	0.4190277	0.4156003	1.232337	1.944514	0.1705171	0.1705171	0.6603051	1.3826057	1.3628762	0.5493124	0.9488558	0.9342822	1.4289192	1.232337	1.7952850	1.232337	0.5057899	0.9526735	1.232337	1.232337	2.3229433	1.4854015	1.232337	1.5326091	1.669285	0.4611925	2.056811	0.2072431	0.2142466	0.5460114	1.2418470	1.5400836	1.1097119	1.4341954	1.3249862	1.301962	1.1443715	1.7097306	1.8198059	1.232337	0.3674603	0.4590304	1.8943214	1.8008584
IgG1_DT	2.3891538	1.3053659	1.990989	2.0488228	1.442018	2.226977	0.0155205	1.387501	0.0295123	0.0296984	0.7946784	2.1669172	2.0425841	2.0030774	1.387501	1.387501	1.7600303	1.6382813	1.6021584	1.3564638	2.0271569	0.7462195	1.0056946	0.7420698	0.8295653	1.497057	0.8504860	0.9613160	0.9794048	1.387501	1.7487254	2.0091008	2.1497403	2.0725867	2.5595099	1.387501	0.7082661	0.7111248	0.7483171	1.8260876	1.9086311	0.2987943	0.3431034	0.2774141	1.3257941	1.391424	1.0039279	1.451808	0.9345760	0.9676291	1.7846906	1.523942	0.7604067	1.477587	0.6772975	0.6316782	1.2057053	1.674226	1.6586748	0.6747664	0.6881365	1.387501	1.6647397	1.387501	0.2864962	0.2767589	1.4155864	0.2529368	0.8952978	1.6653184	2.2551550	1.6753136	1.7379652	1.7858679	2.1667258	2.2497674	2.526474	1.387501	0.7048749	1.387501	1.387501	1.387501	1.7496573	1.9449867	1.6358687	2.4244498	2.4641131	0.9960727	1.485682	1.430354	1.1696254	1.387501	1.387501	1.380397	1.375670	1.226861	1.4501094	1.5427287	1.282532	0.7735459	0.6482427	0.6331972	1.4262807	1.6720405	2.0277466	1.5381957	1.5568175	1.4943362	1.5688851	1.7151954	2.4334155	2.1097234	2.226605	2.1745480	2.0018564	2.2092909	2.3038114	2.3816820	1.2609291	1.465403	0.8187799	1.4920162	1.9643488	1.8097497	1.1545295	1.6910955	1.9241362	1.8546507	0.2923408	0.2078576	0.2165140	1.1804137	1.3279200	0.4439344	0.3058187	0.6578305	1.2153668	1.0485958	1.7558357	1.7504230	1.7663330	2.0783824	1.9854100	2.0220960	2.2502369	1.387501	1.387501	2.2468354	2.3495101	2.149482	1.3457291	1.1467445	1.2301217	2.0275804	2.1548289	2.224402	0.7594095	1.387501	0.8614851	2.3595501	2.7288774	1.387501	2.1270174	0.0977771	0.1355293	0.1413794	1.2766368	2.0511369	2.7141234	0.3693670	1.440350	0.8555583	1.3213947	0.3366337	1.7052840	0.9601393	0.6979709	0.9316285	0.7644072	0.7309784	1.7977592	2.2391042	0.2652591	1.5509896	1.2949345	1.387501	1.9061706	1.8987032	2.4142545	2.0590376	1.7160443	1.387501	1.387501	2.3244172	1.387501	1.3391150	2.6276757	1.387501	1.234224	1.1650841	0.9303088	1.4071720	1.9252021	1.263745	0.8716149	0.3144190	0.3144190	0.3144190	1.2034973	1.8849185	0.7114449	0.7321058	0.7338082	1.387501	1.387501	0.5408413	0.6704939	0.6128060	1.387501	1.387501	1.5588439	1.2825921	1.3865927	2.2567860	2.4025339	1.8864383	1.5309092	1.387501	1.9801472	1.387501	1.387501	1.2236124	1.524626	2.0090729	1.387501	1.6236562	1.654957	1.387501	2.306006	2.407260	1.2880915	1.2026623	1.3254668	2.363268	2.534436	0.9611840	1.4011362	1.834782	1.1927867	0.8911151	0.3144190	0.4384335	0.7826263	0.3144190	0.3144190	1.3402032	1.3374949	1.3314590	1.9673412	2.5953304	1.2980303	1.387501	1.3324263	2.4564306	2.6574677	0.3144190	0.3287733	0.5993376	1.2665979	1.387501	1.9998415	1.9074093	1.9480731	2.2451793	2.5157822	1.387501	1.387501	2.2392596	1.387501	1.387501	1.331510	1.511373	1.560969	1.601646	1.327196	1.387501	0.9845465	0.9641178	1.765364	1.766602	1.387501	0.4470658	0.4161133	1.5462694	2.609026	1.7127514	1.7257514	1.6225632	1.6451199	1.7062900	1.387501	1.5358506	2.168753	2.247644	2.3352784	1.196361	1.135529	1.210465	1.292030	1.363042	1.291814	1.413839	1.463135	1.423573	1.207964	1.387501	0.3144190	0.3144190	0.4033896	0.8865981	0.5135643	0.6984673	1.387501	1.6850034	1.387501	1.0000004	0.9014938	0.8881454	1.387501	1.919060	0.7129335	0.7137460	0.9357921	1.2108445	1.0823139	0.8725333	1.2626513	1.2394756	1.5088792	1.387501	1.5932250	1.387501	0.7816147	0.3144190	1.387501	1.387501	1.5251062	0.7078080	1.387501	0.7598083	1.223904	0.7583022	1.897006	1.5185518	1.4620247	1.7009013	2.0083765	2.0724095	1.1651528	1.3337328	0.8402471	1.604599	0.6244949	2.5117520	2.5404450	1.387501	0.0346667	0.0537542	2.3639001	2.3441960
IgG1_OVA	0.6652017	0.3746457	36.304288	46.9882860	23.212247	55.633672	3.3725777	4.175664	5.6676607	0.8785636	6.1963620	0.1014166	0.0893564	0.3210745	4.175664	4.175664	0.0893564	0.0893564	0.1721444	0.0893564	0.2019305	0.8148484	1.5944257	1.1401894	0.2622383	1.318905	17.2320738	18.6990347	19.6447401	4.175664	13.6728220	0.1437249	0.2226579	0.1752982	0.4278834	4.175664	0.2226579	0.2384446	0.2305512	0.3647370	0.4910297	2.0539010	3.0168822	1.6276634	3.6325588	3.608879	1.5408373	4.473256	1.1856391	1.2724652	0.6298709	33.771911	0.9725204	4.834937	0.6331091	0.5226030	0.6298709	4.150424	39.5828753	1.8802485	1.8960352	4.175664	0.9704719	4.175664	0.2384446	0.2068713	24.6833525	0.1595116	0.0893564	0.5778561	18.6468649	0.1592159	0.2381487	0.2855086	0.2223623	0.2539353	25.412541	4.175664	0.3328683	4.175664	4.175664	4.175664	0.2065756	0.2381487	0.1279283	0.2768583	0.2172863	11.1624603	4.897295	4.936484	17.6744242	4.175664	4.175664	2.022032	2.006246	1.795944	2.0789113	4.8192229	3.729747	1.0274777	0.6643863	0.7236483	0.5002534	0.5449324	6.1078124	0.0893564	0.0893564	0.0893564	0.0893564	0.0893564	0.7854805	6.4836831	4.664468	0.0893564	0.0893564	0.0893564	0.1942377	0.1478066	23.0538206	5.105744	15.1081095	35.2342482	12.3669271	0.2716229	0.0893564	0.2561460	0.5502095	0.4418702	0.2870998	0.1108603	0.2019763	0.2716229	0.3180540	12.4210968	9.0854216	21.5989809	15.6480589	11.5698605	5.3283978	5.1991110	5.6958437	5.4780979	3.3414664	24.4151869	4.1307316	4.175664	4.175664	22.6817312	27.7413301	2.747527	3.0080431	1.7219810	2.1710820	2.8695760	2.5301645	2.732492	6.0360718	4.175664	6.4647593	0.4772663	2.8001485	4.175664	4.3535142	2.2663460	3.0148475	3.8313947	3.0116551	1.0067596	2.9655316	10.4528799	6.099662	0.5126276	0.2057989	9.2576103	0.2151535	0.1927025	0.1777353	0.0364819	0.0364819	0.0364819	0.0364819	0.0505137	6.0401554	0.4808223	0.0982218	4.175664	0.2815707	0.2254434	3.4917510	0.8970990	0.2011216	4.175664	4.175664	0.9382591	4.175664	3.4424686	0.4396791	4.175664	3.629559	3.2927961	1.1103826	0.8512619	0.8325529	1.072964	0.7577167	0.0364819	0.0364819	0.0364819	0.0364819	0.0430298	0.0364819	0.6462009	0.2178614	4.175664	4.175664	7.3189888	7.5940123	7.6950412	4.175664	4.175664	19.2647333	11.6323662	14.6594934	16.3002806	15.5537872	0.0486426	0.0364819	4.175664	0.0402236	4.175664	4.175664	9.1541519	9.131702	9.9558363	4.175664	1.9764161	2.769681	4.175664	2.199990	2.065284	1.8622909	1.5507846	1.8969026	1.715424	2.142927	9.4705324	8.1478004	6.949484	6.4667907	8.4976606	0.2104762	0.2170243	0.2310562	0.2338624	0.1721225	3.7678196	3.7023380	3.3375111	2.4927962	2.5891480	0.0372305	4.175664	0.0372305	0.0811968	0.1457429	0.1335721	0.1204758	0.1410561	0.1616359	4.175664	0.0364819	0.0364819	0.0364819	0.0364819	0.0652938	4.175664	4.175664	0.0709066	4.175664	4.175664	3.632520	4.396399	4.346737	4.627550	3.732808	4.175664	3.4303079	3.1281562	2.623011	3.080448	4.175664	1.4265659	1.7277820	2.8372302	4.015902	3.0851254	3.2273142	2.6304948	2.3891478	3.5388203	4.175664	0.8278756	1.614592	1.118802	0.7567811	3.662275	3.236700	3.644642	3.514912	3.861411	4.283741	4.151693	4.092014	3.890211	3.596036	4.175664	2.3571458	1.3011169	0.9213226	1.5228193	3.9101956	4.5500460	4.175664	4.8671646	4.175664	5.6733289	4.9838996	4.7388110	4.175664	4.806163	1.6527491	1.5114956	1.4665937	1.2701485	1.1270242	0.4697490	0.2158921	0.2823093	0.2701485	4.175664	0.2392786	4.175664	0.3795400	0.6247888	4.175664	4.175664	1.5919542	7.3056955	4.175664	8.3094378	8.301019	0.3645051	8.686425	9.6957798	8.4974642	8.2411499	8.8716450	8.1588297	0.3194005	0.6326957	0.0893564	4.466061	0.0893564	0.0893564	0.1621342	4.175664	0.1773136	0.2228518	0.3442869	0.2987487
IgG2_PT	1.0000000	1.0000000	1.000000	1.0000000	1.000000	1.000000	1.0000000	6.295842	1.0000000	1.0000000	1.0000000	6.8179846	5.9062777	5.4439445	6.295842	6.295842	1.0000000	1.0000000	1.0000000	1.0000000	1.1834664	1.7441354	1.8935456	1.1045685	2.4458301	2.130239	1.0000000	1.0000000	1.0000000	6.295842	3.5570056	1.2934566	1.3338771	1.1317744	1.4551387	6.295842	1.2126155	1.2126155	1.2126155	1.6976619	1.6168208	1.4551387	2.6677542	2.1018672	2.4252312	5.254667	1.0000000	6.129648	1.0000000	1.0000000	1.0000000	1.000000	1.0000000	5.827476	1.0000000	1.0000000	1.0000000	6.587828	1.0000000	1.0000000	1.0000000	6.295842	1.2934566	6.295842	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	1.5359797	1.0000000	1.0761132	1.0000000	1.0000000	1.5065589	7.8556285	1.000000	6.295842	1.0000000	6.295842	6.295842	6.295842	3.6587858	3.2283404	3.5482662	7.0078254	26.3015237	1.2913361	6.219489	6.063474	1.2913361	6.295842	6.295842	34.435631	32.713849	31.224742	29.7167287	33.1762891	5.630141	3.6049802	3.4435632	2.1289597	3.4595594	4.9675727	4.3213210	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	1.2603850	4.3727651	6.687758	1.2432370	1.4090018	1.0000000	4.0612416	6.7963634	2.9008868	6.178149	4.2684474	3.5639465	2.7351217	1.0000000	1.0000000	1.0000000	1.0000000	1.0774722	1.3261199	1.4918847	1.0000000	1.3261199	1.2432370	2.6522393	3.6053877	3.1080930	2.1549444	3.2324166	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	6.0704269	6.295842	6.295842	1.0000000	1.0000000	4.372765	1.0000000	1.0000000	1.0000000	1.0000000	4.2308917	4.012655	87.5238919	6.295842	75.5246472	1.0000000	5.9418163	6.295842	144.4486279	6.9701490	9.1758928	6.5731153	7.0514860	7.9916840	6.1733155	1.0000000	6.429303	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	10.1779385	2.7861788	2.7861788	12.1566839	20.3558774	1.0000000	41.4395146	26.2124429	6.295842	46.7104230	50.8100209	1.0000000	6.3001184	4.5431485	6.295842	6.295842	9.8140583	6.295842	1.0000000	1.0803304	6.295842	1.000000	1.0000000	1.0000000	1.0000000	1.0000000	1.000000	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	6.0559869	1.0000000	1.0000000	1.0000000	6.295842	6.295842	32.7033620	31.2392201	28.8965955	6.295842	6.295842	2.2005219	3.3718355	2.7861788	10.9853706	10.9853706	33.8259778	23.2841592	6.295842	20.9415345	6.295842	6.295842	1.0000000	1.000000	1.7569699	6.295842	1.0000000	1.000000	6.295842	1.000000	1.585657	1.0000000	5.0995960	2.7569697	3.928283	4.513939	1.0000000	1.0000000	1.000000	1.0000000	1.0000000	21.6692948	24.5975766	18.1553540	21.3764653	22.2549500	1.0000000	1.0000000	1.0000000	4.5687013	8.9611254	11.0109234	6.295842	3.9830446	9.2539539	16.8674893	1.0000000	1.0000000	1.0000000	1.0000000	6.295842	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	6.295842	6.295842	9.8396111	6.295842	6.295842	6.933981	6.920670	6.960897	6.792560	6.980632	6.295842	23.0400281	24.7969975	27.725281	36.510129	6.295842	1.0292091	2.2005219	3.3718355	12.742341	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	6.295842	1.0000000	1.000000	1.000000	1.0000000	6.826553	6.958469	6.685279	6.563529	6.858514	6.733446	6.875266	6.914244	6.759226	6.628289	6.295842	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	1.0000000	6.295842	1.0000000	6.295842	1.0000000	1.0000000	1.0000000	6.295842	3.342626	1.0000000	1.0000000	1.0000000	1.7569699	16.9840417	1.0000000	11.7131319	15.8127275	11.1274748	6.295842	24.0119214	6.295842	1.0000000	20.9670854	6.295842	6.295842	23.8953691	1.0000000	6.295842	1.5856566	4.806768	1.0000000	4.221111	9.3705053	11.1274748	10.5418186	14.0557585	27.5258603	1.0000000	1.0000000	1.0000000	5.996724	1.0000000	1.0000000	1.0000000	6.295842	1.0000000	1.0000000	1.5855780	1.4270201

# knitr::kable(head(results$rnaseq), "html", align = "lccrr", booktabs=TRUE, border_left = T, 
#              border_right = T, caption = "RNA seq")  %>% 
#   kable_styling("striped", full_width = T) %>% 
#   scroll_box(width = "100%", height = "400px")
# 
# knitr::kable(head(results$cytof), "html", align = "lccrr", booktabs=TRUE, border_left = T, 
#              border_right = T, caption = "Cell Frequency")  %>% 
#   kable_styling("striped", full_width = T) %>% 
#   scroll_box(width = "100%", height = "400px")
# 
# olink <- head(results$olink)
# knitr::kable(, "html", align = "lccrr", booktabs=TRUE, border_left = T, 
#              border_right = T, caption = "Olink")  %>% 
#   kable_styling("striped", full_width = T) %>% 
#   scroll_box(width = "100%", height = "400px")