Imputation using MOFA for Batch Corrected 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"]]$batchCorrected_data)
normalizedData[["cytof"]] <- as.data.frame(df_source[["pbmc_cell_frequency"]]$batchCorrected_data)
normalizedData[["rnaseq"]] <- as.data.frame(df_source[["pbmc_gene_expression"]]$batchCorrected_data)
normalizedData[["olink"]] <- as.data.frame(df_source[["plasma_cytokine_concentrations"]]$batchCorrected_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]

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


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"]] <- 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 = 15,
  color_by = "infancy_vac",
  dodge = TRUE,
  add_violin = TRUE
)

plot_factor(plot_object,
  factors = 2,
  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 = 15,
  color_by = "infancy_vac",
  dodge = TRUE,
  add_violin = TRUE
)

plot_factor(plot_object,
  factors = 2,
  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/batchCorrectedData_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	0.2678671	-1.8278853	-1.4109190	-1.1509361	-1.2304571	-0.2886975	-3.0712690	NA	-2.2978988	-2.5078006	1.9593220	6.3276901	4.4305940	4.2390165	NA	NA	-1.2062864	-1.8839360	-2.2350121	6.7381802	6.3261614	0.0164547	0.1816206	0.7051597	5.5826168	5.6520691	1.3569469	1.6057320	-2.0491562	NA	3.6961756	2.3145776	-2.8530912	-3.2036777	-2.0076356	NA	0.0193536	-3.0574770	-3.2609053	3.9031315	1.4029908	-3.0527568	-3.0295393	-3.0842185	0.8698988	3.6405411	-3.1650870	NA	-3.2063708	-3.2131815	-2.1129775	-2.2992566	-2.7026618	NA	-3.0548515	-2.8786180	-2.1411834	NA	-2.6722579	-2.7283080	-3.1638513	NA	-2.3616319	NA	-2.6785369	-3.1638513	-2.8631577	-2.8755119	-3.3367052	-1.0359039	2.8801389	-2.3971357	-2.6036634	-2.3904908	-1.5029798	0.6135740	3.4804397	NA	-3.2077239	NA	NA	NA	-1.7651416	-1.9098598	-1.8184457	4.3660803	11.0847988	-2.8241625	NA	NA	-2.7547317	NA	NA	-2.1145935	-1.6350307	-1.1611602	0.5268893	0.7327757	NA	-2.3371558	-2.8565845	-2.7886565	-1.9471191	-1.1715143	-1.7829571	-2.6777511	-2.8387713	-2.8969584	1.4166698	3.0547271	-1.1723542	-1.9834012	4.3116350	-2.2293496	-2.3101380	-2.3125231	4.3838081	5.2519026	-2.3887446	NA	-2.5862837	-2.6135466	-1.9605374	-2.4867516	-2.5855312	-2.4990699	8.8647776	12.2061539	-3.2649021	-3.2343678	-3.3367052	-2.9536533	-1.3252344	6.2035275	6.9921999	5.8093662	9.3153467	7.2975359	1.8005633	1.6401901	2.1405201	8.5631809	11.5179749	-3.3367052	0.3271842	NA	NA	-3.1757112	-3.3367052	-0.2964859	-2.9550710	-2.9945579	-3.1807895	-2.4874744	-0.5631526	-1.1894472	-0.5233133	NA	-3.3367052	-0.2052100	2.4649186	NA	2.4631305	13.2491121	5.2536821	2.6040378	3.1816216	8.2533951	1.8138146	-3.1577151	NA	-2.7195597	-2.7335734	-3.1713097	-2.6004426	-1.6778681	-0.9328017	-2.6055691	-1.2018545	-1.3139648	4.1887832	10.6935167	-3.1950402	-1.1691556	0.3513403	NA	10.4926519	14.1339025	5.5096779	-0.4731376	0.9609404	NA	NA	1.4444160	NA	-2.9904931	7.2063246	NA	0.9403749	13.3962965	-2.1870358	-2.3925714	-2.3738863	13.5014009	15.4680033	-3.1077411	-3.1521182	-3.1708033	-0.3213327	16.1121712	-2.6383038	-2.6499820	-2.6126118	NA	NA	-2.6102517	-2.5962379	-2.6336079	NA	NA	-3.3669848	-3.1684563	-3.2431965	-3.2992516	-1.8932015	3.0723510	5.1907692	NA	2.9835973	NA	NA	-1.1056385	-0.4142916	5.2309294	NA	-0.9402997	-0.7347641	NA	5.4009399	8.8366537	-3.3156369	-3.2689242	-3.2222116	-1.4284465	-0.1695414	-3.6351273	-3.6818399	-3.6631548	-3.2847826	-2.5000105	7.3960600	6.5575686	6.7304049	6.7817888	7.8772001	-3.1259596	-2.9204240	-3.1913574	-1.6802038	0.9590597	-2.7265668	NA	-2.7802863	0.8516207	3.995381	0.4428852	-0.1223376	0.3961725	0.8025723	NA	-3.3688653	-3.3361664	-3.3875504	-2.5257025	-1.4513118	NA	NA	-0.9748430	NA	NA	NA	NA	NA	NA	NA	NA	-2.3977094	-2.3463254	-0.6786845	0.3046165	NA	-3.215169	-3.2431965	-2.3463140	0.6643152	-3.4996607	-3.4669619	-3.4716332	-2.7662725	-2.1963782	NA	-3.5538468	-0.2816272	0.6339407	1.9745932	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-3.712694	-3.724372	-3.1451359	-2.5215220	-3.4931204	-3.5118053	NA	-3.0540216	NA	-2.8228188	-2.9886484	-2.7761059	NA	0.7810607	-3.5837433	-3.5650585	-3.5370307	-2.0889392	-0.2437904	-3.1504414	-1.6825395	-1.7572796	-1.7105670	NA	2.2553353	NA	-3.1769757	1.4331932	NA	NA	5.5112057	0.3536403	NA	0.7577043	2.4113317	-3.0249681	6.3048296	-3.0372057	-2.9531229	-3.0372057	-2.4626403	-0.1667147	-2.4824176	-2.4426537	-3.3367052	NA	-3.3367052	-3.1193502	-3.1626184	NA	-1.4503300	-1.4980471	24.9167633	18.5978889
IgG_PRN	0.1508572	-0.9911487	-0.8168024	-1.6177604	9.0584412	10.3687572	-1.1061471	NA	-0.2045672	2.5578995	12.8367825	-1.6230694	-1.6413083	-1.6400794	NA	NA	-0.3622090	-0.9326508	-1.2193704	-1.3951991	-1.4931526	0.1367691	-1.6073515	-1.5996757	-1.5310212	-1.5036669	-1.5385797	-1.5328780	-0.0338495	NA	-1.5900211	-0.1689763	9.6742306	3.3079596	7.8567653	NA	-0.7633603	-0.3593627	-1.3001169	-1.5192797	-1.5387342	-1.6627166	-1.6350787	-1.7066491	-1.4831312	26.6442947	-1.0664330	NA	-1.1568381	-1.1950505	1.6045597	4.2215629	-1.3493483	NA	-1.6244632	-1.4848915	3.1062593	NA	2.3183584	-0.9989663	-1.6423221	NA	2.3332920	NA	-1.3026873	-1.7253212	1.0160708	-1.4587013	-1.5222023	-1.5556877	6.4979234	3.1721654	2.1457853	3.3469963	4.4328222	-1.5331503	4.5635052	NA	0.7832389	NA	NA	NA	-0.7548176	-0.8258435	-0.8644879	-1.4568539	-1.3242218	-1.7995377	NA	NA	-1.7834127	NA	NA	-0.8545340	-0.3020587	0.5320985	-1.5797299	4.2632561	NA	1.3137753	-0.3441567	0.0205972	1.5690639	1.7491302	1.3387694	-1.5604279	-1.6396742	-1.6849916	-1.5588278	-1.4865990	-0.8421431	0.4358182	4.3172321	2.0012360	1.5569255	1.5542839	-1.5066046	-1.4797781	-0.7547684	NA	-0.9580795	-0.9970245	6.1644769	-1.4170756	-1.4709489	-1.4398758	-1.4349113	-1.3638983	-1.8340151	-1.8224255	-1.8913772	-0.8163160	7.9196076	-1.6838285	-1.6729035	-1.6880234	-1.4980294	-1.5136607	-1.5771017	-1.5713768	-1.5710182	-1.4934120	-1.4199194	-1.1052125	2.2996845	NA	NA	2.1660981	-1.4735198	1.7489686	-1.7460440	-1.7607697	-1.8414232	-0.0193355	-1.4423587	0.7981927	-0.3736312	NA	-1.6219138	-0.1451290	2.3174548	NA	-1.5101104	-1.6358576	-1.7579706	-1.8018134	-1.6364017	-1.5643032	2.1337414	-1.8740427	NA	-6.7455659	-6.7401724	-1.8745792	-6.7397575	-2.7249422	1.6559501	-4.7398863	-3.2585676	-2.7732768	1.5651577	5.0563736	-1.8779712	-6.8550286	-6.6443996	NA	-1.2835218	2.3614826	-0.1281209	-4.1002541	-1.7791848	NA	NA	-0.3071320	NA	-5.1830659	4.2274637	NA	4.6598010	5.3499122	-1.1332608	-1.3351772	-1.1541439	5.1520066	5.3786783	-6.1487679	-6.0587354	-6.2114172	-1.2001587	3.7714081	2.8277960	2.4846764	2.6969652	NA	NA	-2.4848168	-2.3618691	-2.4589548	NA	NA	0.3874049	2.4710150	2.1130977	0.3923836	4.7440948	-4.2218189	-2.6192119	NA	6.2200198	NA	NA	4.8476472	4.6830716	5.1817775	NA	-1.1895088	-1.0766569	NA	2.8168702	4.2149334	0.0486808	-0.0085750	0.1998413	4.7252560	5.4386015	1.6469607	0.9311259	1.1778510	6.5217185	6.5674949	-6.8550286	-6.8550286	-6.8550286	-0.1476049	2.4089875	-3.2936637	-3.2267270	-3.5997190	-2.4288812	-0.7318161	-6.4593244	NA	-6.3413553	-1.2674475	4.351635	-6.7565932	-6.7308698	-6.7723594	-6.1277485	NA	-0.1531737	-0.6470388	-0.6600389	3.6637359	3.8959398	NA	NA	-3.0314491	NA	NA	NA	NA	NA	NA	NA	NA	3.3447561	3.5068421	4.3739758	4.1532512	NA	-3.953242	-3.8193693	1.1963148	6.1635938	-3.9645147	-3.9945254	-3.3577976	5.3371887	5.6043820	NA	-6.3866420	3.5693531	2.5911655	4.3734226	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-6.618015	-6.568089	3.4389386	4.5919361	0.2145000	0.3118625	NA	4.2186666	NA	-4.6104689	-5.0947914	-4.7155762	NA	5.0762587	-3.4697833	-3.5311880	-3.7541256	0.8495662	4.7523594	-1.8214694	0.0247519	-0.0370677	-0.3602720	NA	3.2472529	NA	-1.8258538	-2.3900192	NA	NA	3.9159932	-3.6303449	NA	-3.3504281	2.6785712	-0.1327500	3.1262450	-3.9954572	-3.5074005	-3.7909131	-0.0410783	3.7998953	1.2865529	1.3185863	-1.8929342	NA	-1.8872885	6.7690768	5.9877934	NA	3.2738538	2.9768209	5.8775105	4.3184876
IgG_FHA	28.0533733	-2.5872874	1.1009846	-1.4421213	66.4080505	16.9646416	-2.4892538	NA	-3.0656588	-2.5765278	-3.5414572	-1.3416243	-1.4557035	-1.4563189	NA	NA	6.1073823	1.4747891	-2.8745639	-0.6885848	-0.7237563	-2.6336429	-1.9045663	-1.8595738	-1.4708421	-1.5327375	-1.8453326	-1.8494718	7.6353927	NA	-1.2618535	9.6289482	-2.7925112	-3.2998576	12.4827080	NA	-0.4470730	-3.1365042	-3.3683510	-1.3515201	-1.4520531	-1.5500052	-1.6702225	-1.8602583	-0.7237563	58.9102173	-3.1322954	NA	-3.1519411	-3.1608055	-1.6608982	-2.6001005	-3.3682599	NA	-3.4734790	-3.4255869	-2.3710959	NA	-2.9219315	-2.7119877	-3.2650826	NA	-1.4024897	NA	-1.5693464	-2.8932085	-3.0565434	-1.9866908	-1.5112448	-1.5386953	-3.5414572	1.0144186	0.2126007	2.0468187	7.6689134	-1.2275083	7.1367488	NA	-3.2774115	NA	NA	NA	-2.9267714	-2.9996953	-2.9725561	-1.4988127	-0.5113573	-3.0706551	NA	NA	-2.9929006	NA	NA	-1.4012470	-0.4026895	3.1373363	-1.4676065	-3.5414572	NA	-0.8207550	-2.2968266	-2.1325662	-1.3707433	-0.4470730	-2.8574166	-2.9092057	-3.0228312	-3.0723417	-1.4458385	-0.8702660	0.5090141	-2.9633267	-0.8935175	-2.8514931	-2.9068148	-2.8709085	-1.6089523	-1.1853361	-2.6676576	NA	-2.8374648	-2.8722801	0.4095430	-3.2079802	-3.2431860	-3.2114773	-1.3943388	-0.9347005	-3.3722234	-3.3599248	-3.4866905	0.2811818	-3.5414572	-1.6923151	-1.6559651	-1.6992748	-1.3147340	-1.3022842	-1.7966187	-1.7657382	-1.7804334	-1.2803857	-0.8345795	-3.2510700	-3.5414572	NA	NA	-1.6402786	-1.2569115	6.1761041	-3.1280589	-3.1431470	-3.3353605	-2.3217084	-1.1276670	0.7210712	-3.5414572	NA	-1.4361756	5.9957509	-3.5414572	NA	-0.8026414	-1.0684180	-0.8291578	-1.5449836	-1.6171215	-0.8143024	-3.5414572	-3.2671924	NA	3.5905213	3.6246810	-3.2635503	3.6273084	7.9708409	14.1156387	-1.7479875	4.3692203	4.4690709	19.1853180	32.8872833	-3.2621512	-5.4595661	-4.3441219	NA	15.6222019	30.5578594	5.7606492	-2.4692819	0.3134170	NA	NA	20.6108265	NA	2.1663256	-3.5414572	NA	7.0235667	15.7447929	5.6676917	1.4555421	3.5432229	9.2321205	14.0985603	-5.2933078	-8.1233044	-4.0530491	-1.4385209	3.5067477	-7.4612989	-7.3483090	-1.1732931	NA	NA	-6.3246670	-5.4273186	-7.1011419	NA	NA	1.9176073	9.5181332	5.7802768	3.8095269	19.7739143	19.3639984	34.9618263	NA	37.4397163	NA	NA	-8.5321598	-7.9041476	-8.4034042	NA	-7.9539862	-2.3163278	NA	-2.6697490	-0.6254244	-8.1931038	-7.3758993	-6.2906733	0.0643377	0.4926476	-0.2997394	-2.5306280	-4.0467916	2.8403220	24.9008961	17.1177483	11.9648952	7.4531903	12.7912960	15.7461071	-8.7691345	-8.6679697	-8.7559967	-8.7376022	-8.7559967	-8.7402306	NA	-8.7454853	-8.6430073	-8.640379	-8.6451492	-8.7160969	-8.6398945	-8.5452976	NA	-8.7047567	-8.6035919	-8.7073841	-8.6627140	-8.5576077	NA	NA	-8.6811085	NA	NA	NA	NA	NA	NA	NA	NA	-8.5975981	-4.5509920	-1.9863894	-1.0180941	NA	2.445768	2.8294072	16.0636501	60.4370499	1.6644416	1.4134994	3.5392814	14.5373802	17.9178734	NA	-8.6986618	-4.6495295	-6.1919694	-3.7534952	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-8.787529	-8.787529	-8.7875290	-8.5728016	-8.0313358	-8.7105875	NA	0.4021592	NA	-7.4507885	-8.7725048	-8.3849239	NA	1.9930449	-8.7875290	-8.7875290	-8.7875290	-8.7397451	-8.6898193	-3.2703021	-8.7187243	-8.7568254	-8.6963892	NA	-8.6543465	NA	-3.3080163	-8.7270918	NA	NA	-8.7008152	-8.4834614	NA	-2.4792433	-2.8352921	-3.0203090	1.0904417	-8.6517181	-8.7450008	-8.6215000	-8.6596012	-8.4152288	1.8069715	1.9529414	-3.5226154	NA	-3.5206881	-1.3142805	-1.5392251	NA	-0.7953115	-0.9632783	14.5259094	29.8563709
IgG1_PT	4.8142071	-5.0130076	-6.0910759	-4.2449636	-1.4197826	27.7221127	-13.3103228	NA	-13.1326332	-12.8310995	-4.6775460	36.6150284	30.3510418	24.1863232	NA	NA	-5.7109928	-6.8178196	-7.4802246	3.8765335	35.5533752	0.4224138	7.7588177	0.6416988	2.8453722	29.2247677	-11.4091349	-11.4220362	-11.3689117	NA	14.3405170	-13.0635204	-13.0210791	-13.0022163	-7.5012879	NA	-13.1932039	-13.1939898	-13.1374006	18.6302814	22.7895756	-13.2081375	-13.1546917	-13.2364321	2.0088177	19.4500370	-13.2497931	NA	-13.2780876	-13.2804451	-9.6488934	-9.8890858	-11.7368221	NA	-12.1808891	-12.3946695	-11.8585787	NA	-8.8602762	-11.2353802	-11.3501301	NA	0.4738531	NA	-12.8646736	-12.8906097	-10.7915049	-12.9566307	-6.5074301	5.4210596	12.8036976	-12.5580769	-12.4116583	-12.2003489	-10.0539837	-1.5092845	29.1517353	NA	-13.3800182	NA	NA	NA	-9.3277130	-7.9009619	-8.8978004	24.5037746	39.1751328	-11.4599361	NA	NA	-10.4183664	NA	NA	-6.1031728	-6.0624084	-7.2184143	0.0657873	9.6627483	NA	-10.5864153	-11.7194967	-11.4576483	-8.5535221	-4.1050854	-2.4683466	-11.7615681	-11.6429653	-12.0453100	7.6349659	14.6160717	7.1768456	-2.2686515	22.4564724	-10.2600422	-11.0230618	-8.1948442	19.5655212	35.2066422	-13.0220480	NA	-13.2598619	-12.6271381	-11.5898094	-10.1339235	-11.8007002	-9.8406963	42.5365143	46.1135635	-13.3594170	-13.4201431	-13.4019814	-13.2932034	-13.2553682	25.1967335	7.1333733	35.2815247	38.4360733	33.0610428	17.3046379	18.3453102	19.3298264	44.0010147	40.8285217	-13.4186535	5.1166983	NA	NA	-13.3621368	-13.1528273	1.2416019	-13.1776781	-13.3433046	-13.2523174	-12.4149113	-4.0983677	2.0294285	-10.5326366	NA	-9.5374575	2.8812923	20.5909653	NA	-7.2494936	7.9392986	10.4485683	10.9077721	20.8208904	28.5185375	18.8012924	-13.2223930	NA	-7.9014711	-6.3608789	-13.2628384	-2.4477744	-7.1619868	-8.7642031	-9.3212452	-9.8738327	-9.8738327	13.7876396	48.7590866	-13.3302460	-7.6574049	-9.5677395	NA	59.9129791	77.7222214	-11.2810535	-4.5145969	-8.8282557	NA	NA	1.8018322	NA	-5.1284051	34.7954407	NA	2.3896856	-8.8258266	-8.1171541	21.9552078	41.9212875	-3.0640111	-8.3328371	-8.3525572	-7.9828148	-8.4758043	-2.3750591	87.6879730	-4.4696794	-3.3296413	-3.6377597	NA	NA	-9.8738327	-9.6738482	-9.8738327	NA	NA	-9.8738327	-9.8738327	-9.8738327	-9.8738327	-9.3828688	-9.8142347	-9.8738327	NA	-6.9179211	NA	NA	-2.1582932	12.9703236	49.5747986	NA	-0.1868324	0.7067108	NA	25.5718708	48.6807556	-9.8738327	-9.8738327	-9.8001289	-2.8982754	2.4629860	-9.8734293	-9.3188162	-7.4392934	-9.5653105	-9.8734293	0.6950340	1.3728943	3.9919014	-2.2937150	-0.2601328	-8.5366688	-8.8447866	-8.7831631	9.7039452	41.6866379	-9.5842714	NA	-9.6458950	6.1297703	32.597145	1.8780584	1.6931877	4.0040760	20.7657204	NA	-9.8738327	-9.8738327	-9.8738327	-7.3966303	-0.7720833	NA	NA	-9.0296583	NA	NA	NA	NA	NA	NA	NA	NA	-9.8315258	-9.7699022	-3.0529194	1.6921043	NA	-9.873833	-9.8738327	-8.4585133	2.7569990	-9.5036869	-7.9630947	-2.4169626	-9.1647568	-8.7642031	NA	-9.8738327	-3.7307801	-0.8960905	4.7732897	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-9.873833	-9.873833	-9.8738327	-8.1483688	-9.7970953	-9.3385363	NA	-5.8567972	NA	-9.3071394	-9.6768818	-9.6889610	NA	-0.4641390	-9.8738327	-9.8738327	-8.2867737	-3.4832029	-1.3879972	-13.4201431	-7.2422481	-7.5195546	0.7072086	NA	6.1300936	NA	-13.4201431	-0.3066664	NA	NA	39.1908798	-0.3100805	NA	1.4770069	8.7486019	-13.4201431	30.9023190	-9.8738327	-9.8738327	-9.8273659	-6.0713978	-3.2983317	-13.2729492	-12.1879511	-13.4201431	NA	-13.4201431	-13.4201431	-13.3616219	NA	-8.3809013	-6.6887932	56.4842834	52.3686600
IgG1_PRN	0.6168345	-0.1850344	-0.4006783	-0.4607698	0.8144935	1.5516542	-1.6743432	NA	-1.6313066	-1.4851416	-0.3961886	-0.1201036	-0.3267771	-0.5311822	NA	NA	-0.1505789	-0.2536781	-0.4945327	0.2503426	1.3844141	-0.1499552	0.2561829	-0.3056585	-0.0958370	0.9629308	-0.7906439	-0.6678668	-0.6117409	NA	0.2352666	1.1443368	1.5675775	1.2364234	1.6747838	NA	-0.1880631	-0.2118868	-0.1085124	0.9258250	0.9437670	-1.4952137	-1.4569534	-1.5065612	0.7664858	0.7808930	-0.1789733	NA	-0.2830904	-0.2906948	0.3840231	1.6972898	-1.2021415	NA	-1.2940794	-1.3265176	0.3205982	NA	1.7935351	-0.4570444	-0.4851753	NA	-0.4966422	NA	-1.2647009	-1.2999908	1.6572944	-1.3275572	0.4620148	0.8967880	1.8593518	0.9529797	1.1086577	1.1338130	1.2514633	1.4910752	2.1176591	NA	0.2421465	NA	NA	NA	-1.5730417	-1.5252744	-1.5649276	1.3850154	1.3588990	-1.6895752	NA	NA	-1.6791843	NA	NA	0.6689194	0.6359166	0.3596381	0.8529226	1.2819530	NA	0.7650124	0.5662817	0.4444557	0.4892443	0.7068409	1.1259617	-1.4011503	-1.3591383	-1.4042623	0.6800534	0.9954649	0.7019130	1.1386002	1.4604524	0.8491160	0.6493579	1.1099352	1.4467052	1.8091933	-0.4251721	NA	-0.8096329	-0.1040434	1.2240568	-0.9102040	-1.2114815	-0.8936603	1.4014958	1.4223710	-1.7293290	-1.7369121	-1.7416615	-0.2994096	0.5137295	-1.4927537	-1.5628579	-1.3515606	1.2171386	1.0974823	0.2204490	0.2581158	0.2606981	1.3747045	1.3864368	-1.2121819	1.2576591	NA	NA	0.9787256	1.3659204	1.0578734	-1.6269943	-1.6978652	-1.6602826	-0.1569109	1.1324517	1.1311451	-0.4513230	NA	-0.2450817	0.4799219	1.4663717	NA	1.2217509	-1.7208807	-1.7029455	-1.6932340	-0.7493165	0.1207327	1.4959685	-1.7364388	NA	-1.6104889	-1.1867633	-1.7379745	-0.0391277	-1.3148158	-1.6610359	-0.8018447	-1.1153451	-1.1877959	0.4937903	2.1405916	-1.7442778	-1.6266856	-1.6615794	NA	0.1227316	0.7559828	-1.5026088	-0.2989831	-0.9347889	NA	NA	0.3938919	NA	-0.6533560	1.4538292	NA	-0.4296445	-1.5086339	-0.5425329	0.1962693	0.8060950	-0.1034801	-0.6067766	-1.6371521	-1.6281297	-1.6393262	-0.4382631	0.8885156	1.0383848	1.0311016	0.9079407	NA	NA	-0.5539234	-0.3626598	-0.4235337	NA	NA	0.6177121	-0.0123324	0.2180099	0.8155521	1.2903141	-0.6899890	-1.2853029	NA	2.4324059	NA	NA	1.3815612	1.3998233	1.5061895	NA	0.0034204	0.2551773	NA	0.8088034	1.3314489	0.3700768	0.2786572	0.3624674	1.3214482	1.7924055	0.0886530	0.5805899	1.2060145	0.4774305	-0.0002120	-1.6636448	-1.1027899	-0.2039764	-1.3502531	-1.6656015	0.3089854	0.2894186	0.2158809	0.8675574	1.6290785	-1.6019651	NA	-1.5587555	-0.1456121	1.744630	-1.6506099	-1.6638173	-1.6183249	-1.2179706	NA	0.0435317	-0.0457138	-0.0539752	0.8804387	1.5174402	NA	NA	-0.4168270	NA	NA	NA	NA	NA	NA	NA	NA	0.9914032	0.9559659	1.4729048	1.4551860	NA	-1.316446	-1.2976949	0.5047151	2.4825726	-1.2094278	-0.1522880	0.9088198	-0.6447140	-1.1075184	NA	-1.1412475	1.2970771	1.1783186	1.3046862	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.631532	-1.651611	-0.5824045	-0.1815066	0.1241680	0.3699464	NA	1.2595743	NA	-1.0933419	-1.2193835	-1.2490594	NA	1.3138934	-1.0748082	-1.1095934	-0.4954195	0.5228590	0.6655322	-1.7053702	-0.1248498	-0.1306111	0.3656198	NA	0.7626587	NA	-1.7216244	-0.8786483	NA	NA	1.6528846	-0.8397914	NA	-0.6912483	0.6572710	-1.7248241	1.4962977	-0.7873966	-0.6181456	-0.4508511	0.5985166	0.7693440	-0.5898787	0.4778179	-1.7285676	NA	-1.7493013	0.7078325	1.1263534	NA	1.3654627	1.5316807	1.9968001	1.8944732
IgG1_FHA	2.1856623	-0.4867421	0.9809030	0.9219807	0.8157707	2.6718831	-0.6942109	NA	-0.7288145	-0.7786732	1.6684679	1.2837504	1.0752805	0.8724653	NA	NA	1.0468634	0.8793634	0.5726134	0.7220818	2.4706788	-1.2235875	-0.6806021	-1.2355428	-0.5361164	0.7820193	-2.3038034	-2.2565110	-2.2681618	NA	0.9389409	-1.2255108	-1.1116905	-1.0844793	2.1546569	NA	-1.6720457	-1.6777600	-1.5678270	1.5071872	1.8434781	0.2142695	0.2772437	0.1045697	1.9324585	1.8794357	-1.3567463	NA	-1.4225194	-1.4124125	0.1553549	-0.6120118	-2.2206612	NA	-2.2697189	-2.3222752	-1.1551341	NA	-0.4234904	-0.9411156	-0.9762568	NA	0.0970950	NA	-0.3179027	-0.2873874	-0.8665158	-0.3632287	0.2351803	1.4352721	1.7044042	0.6985232	0.8912953	0.9062670	1.0935360	1.7861234	2.2175970	NA	-2.1309040	NA	NA	NA	-1.7271510	-1.5504029	-1.7749461	0.7948512	1.8883172	-1.2605164	NA	NA	-0.8883256	NA	NA	0.8708204	0.7996031	0.5872322	1.1765949	1.7817432	NA	0.6348325	0.1842217	0.1113348	0.0759170	0.5334643	-0.5065373	-1.8112454	-1.8105643	-1.8674973	0.7410034	1.9105135	2.3190894	-0.3992752	0.5560490	-1.2142565	-1.3918216	-0.7885449	0.3314861	2.3538547	-1.0088555	NA	-1.5865541	-0.6289823	0.5552863	-1.8812156	-2.2040589	-1.9065140	1.5127412	1.9888119	-2.3699751	-2.4510169	-2.4755306	0.5185677	0.6763064	-0.5304849	-1.1666870	0.0312754	1.3036920	1.1624488	-0.0806003	-0.0715121	-0.0232631	2.0041509	2.1887231	-2.0856261	1.9450535	NA	NA	0.3599902	1.9670602	1.6537391	-1.9611249	-2.2089453	-2.0820796	-0.9358094	1.4061342	1.8698076	0.7360843	NA	0.8830477	2.0014477	2.3246965	NA	1.8837324	-0.3228792	-0.2700492	-0.1766547	0.2093939	1.6193699	2.3340411	-1.6387222	NA	-0.6627401	-0.5053045	-1.6587119	0.8846229	-0.2754204	-0.6632626	-0.9402477	-1.0062523	-0.9722921	-0.7300432	-0.5271531	-1.8728300	-1.0315046	-1.0172241	NA	-0.5550178	-0.6100507	-0.1806066	-0.7965702	-1.0187914	NA	NA	-0.6145787	NA	-0.6559482	3.0069084	NA	-0.3746885	-0.8995903	-0.7254359	-0.5643429	0.2266670	0.4678711	-0.6768466	0.8157989	0.9775885	0.7123512	1.5996684	3.8185716	-0.4313407	-0.3992962	-0.2921911	NA	NA	-0.0715184	0.4218613	0.0150363	NA	NA	-1.0670322	-1.0800939	-1.0955936	-0.9010629	-0.7525091	-0.9876177	-1.0576279	NA	-0.5611132	NA	NA	-0.5733021	-0.2986604	0.1670288	NA	-0.3731730	-0.3865830	NA	-0.2850509	0.0284274	-0.9353439	-0.9292485	-0.9858487	-0.4842837	-0.1993668	-0.9028993	-0.3924524	0.9265941	-0.6637851	-0.9351178	-0.0897717	0.5431060	1.4520184	-0.3112963	-0.3273185	0.1319747	0.1535698	0.0896552	2.2493453	4.5751791	-0.0851960	NA	-0.0449663	2.6195979	6.645529	-0.8721513	-0.8442866	-0.9226561	-0.5854930	NA	0.1786481	0.1385926	0.0873911	1.2638050	3.6472840	NA	NA	-0.0022985	NA	NA	NA	NA	NA	NA	NA	NA	0.2623359	0.1195291	2.4187174	3.3803988	NA	-1.175703	-1.1757027	-0.8507323	1.7859675	-0.7198628	-0.1005694	-0.0636486	-0.5415286	-0.3290601	NA	-0.5518367	0.8487142	1.3128361	1.0470761	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.175703	-1.175703	-1.1757027	-0.9991749	0.2174040	0.5310563	NA	2.4760141	NA	-1.1748064	-1.1192510	-1.1757027	NA	-0.4289025	-1.1527143	-1.1757027	-0.1905104	1.4667441	1.5778548	-2.0181215	0.1264508	0.0028011	-0.3698896	NA	0.6252295	NA	-2.1883595	0.5492829	NA	NA	4.9835715	-0.8015932	NA	-0.8221434	-0.5993998	-2.1743016	0.0456686	-0.6144027	-0.6913790	-0.4830900	0.5094167	0.5027987	-0.4326727	1.2472471	-2.6220400	NA	-2.6549501	-2.2087557	0.4465593	NA	0.3824087	0.8990015	2.4362264	3.6101117
IgG1_TT	0.2701403	-0.2267612	0.1552180	0.1929578	0.5727330	0.7039564	-1.2601173	NA	-1.2381387	-0.3544512	0.4581095	0.0958043	-0.0311071	-0.1153091	NA	NA	0.3280436	0.2759429	0.1660454	0.3739676	0.7615551	-0.0693326	0.1797584	-0.1227189	0.3430381	0.6669469	-0.6360886	-0.5275896	-0.5152992	NA	-0.0474774	0.1793053	0.2524068	0.2459285	0.9359342	NA	-0.6310900	-0.6482456	-0.5675860	0.4975049	0.5271375	-0.7598774	-0.7031118	-0.7773330	0.5696467	0.4901469	-0.2024783	NA	-0.2552449	-0.2416483	0.2962832	0.2142572	-0.3546998	NA	-0.4183037	-0.4370590	0.3909233	NA	0.2857646	-0.1207589	-0.0936857	NA	0.4757831	NA	-0.0690919	-0.0882270	0.1578418	-0.1240981	0.2412062	0.5063027	0.5908175	-0.1605222	-0.1224076	-0.0926304	0.4954772	0.6954355	0.6963788	NA	0.0573639	NA	NA	NA	0.1629596	0.2617785	0.0979362	0.5736163	0.6253567	-0.3592688	NA	NA	-0.2181050	NA	NA	-0.1018100	-0.0836768	-0.1854975	0.1576604	0.4506992	NA	-0.1440524	-0.2727920	-0.2658072	-0.1339828	0.0000992	0.5723058	-0.6135624	-0.6110790	-0.7052217	-0.2928780	-0.1533163	0.3312246	0.5841419	0.6921400	0.1698850	0.0324788	0.3530660	0.7103872	0.8628341	-0.0157653	NA	-0.2183805	0.1240693	0.4766968	0.0749476	-0.1570455	0.0534785	0.6494902	0.6560819	-0.1940689	-0.3236198	-0.3163732	0.5984706	0.6032256	-0.7257346	-0.7895465	-0.5530432	0.0502745	0.0073364	-0.4647968	-0.4298213	-0.4298213	0.5703385	0.5592055	-0.2217175	0.3880496	NA	NA	0.4685450	0.5853797	0.3142078	-0.3667536	-0.4975228	-0.4579133	0.1424261	0.3612739	0.3606098	-0.7901141	NA	-0.7082416	0.2204210	0.6305642	NA	0.5758160	-0.8943487	-0.8424910	-0.8360496	-0.1241162	0.2832530	0.6428711	-0.3313853	NA	-0.3539732	0.0260446	-0.3528252	0.2856740	-0.1695403	-0.3663997	-0.7475650	-0.9077822	-0.9331397	0.3072022	0.8980991	-0.4555402	0.1186271	-0.1446930	NA	0.9521066	1.0052115	0.6717649	0.2566730	0.0147276	NA	NA	0.8541814	NA	0.0047497	0.7404668	NA	0.0272660	-0.1819668	-0.1908088	0.0356832	0.3023489	-0.0758369	-0.2468343	-0.5126635	-0.4753043	-0.5163808	0.0597795	0.5197997	-0.0553384	0.0009792	-0.0336982	NA	NA	-0.4477164	-0.3075463	-0.4602757	NA	NA	0.0458469	-0.1978508	-0.0970579	0.1886193	0.4037467	-0.1013861	-0.3925595	NA	0.6157144	NA	NA	-0.2756490	0.0926062	0.5518829	NA	-0.0983002	0.0284078	NA	0.4710892	0.5725991	0.3401860	0.2927899	0.3597020	0.6684266	0.7661660	-0.7894324	-0.3592837	0.2344278	-0.4869476	-0.8385012	-0.9731219	-0.3415998	0.3001715	-0.4752380	-0.9536324	-0.0344735	-0.0432624	-0.0399699	0.5247198	0.9156507	0.1256108	NA	0.1372142	1.0273300	1.114740	-0.0244633	0.0150466	0.1751045	0.4277771	NA	0.2918819	0.2479377	0.2805705	0.5576183	0.7553804	NA	NA	-0.3888683	NA	NA	NA	NA	NA	NA	NA	NA	0.0761358	0.0448040	0.5733293	0.6623329	NA	-0.723721	-0.7236944	0.4958835	1.1214844	-0.5572583	-0.1126916	0.3942732	-0.2955845	-0.5022948	NA	-0.4708701	0.4872996	0.4703591	0.5626552	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.007547	-1.007547	-0.3128834	-0.2429975	-1.0075470	-0.6713141	NA	0.0016032	NA	-0.6950918	-0.7861399	-0.7891935	NA	0.5729707	-1.0075470	-1.0075470	-0.5711771	0.0723467	0.0547690	-0.6849698	-0.3140968	-0.3270809	0.1136091	NA	0.4400177	NA	-0.7322318	-0.3106955	NA	NA	0.9101278	0.1639313	NA	0.2059902	0.3277595	-0.7806610	0.6730202	-0.9748265	-0.9685867	-0.6730055	-0.0530603	0.2126496	-0.0764204	0.2759429	0.1573504	NA	-0.0387828	0.5751522	0.6946851	NA	-0.8824468	-0.7830088	0.7756033	0.6741097
IgG1_DT	0.9590878	-0.0652088	0.5827792	0.6374383	0.0639422	0.8058131	-1.2842522	NA	-1.2710283	-1.2708523	-0.5478636	0.7490501	0.6315420	0.5942041	NA	NA	0.3644981	0.2494323	0.2152922	-0.0169158	0.6169617	-0.5936626	-0.3484305	-0.5975844	-0.5148917	0.1159605	-0.4951194	-0.3903731	-0.3732772	NA	0.3538139	0.5998967	0.7328165	0.6598978	1.1200929	NA	-0.6295326	-0.6268308	-0.5916802	0.4269295	0.5049421	-1.0165277	-0.9746508	-1.0367343	-0.0459019	0.0161253	-0.3501002	NA	-0.4156454	-0.3844066	0.3878049	0.1413687	-0.5802541	NA	-0.6588013	-0.7019165	-0.1593988	NA	0.2687063	-0.6611935	-0.6485572	NA	0.2744383	NA	-1.0281508	-1.0373535	0.0389614	-1.0598680	-0.4527674	0.2749852	0.8324444	0.2844318	0.3436444	0.3889176	0.7488692	0.8273528	1.0888703	NA	-0.6327376	NA	NA	NA	0.3546946	0.5393020	0.2471521	0.9924464	1.0299325	-0.3575243	NA	NA	-0.1934983	NA	NA	0.0057038	0.0012361	-0.1394041	0.0715895	0.1591247	NA	-0.5678361	-0.6862612	-0.7004808	0.0490688	0.2813382	0.6175189	0.1548406	0.1724403	0.1133887	0.1838453	0.3221244	1.0009201	0.6949961	0.8054619	0.7562623	0.5930500	0.7890980	0.8784301	0.9520264	-0.1072063	NA	-0.5250851	0.1111959	0.5576012	0.4114884	-0.2077656	0.2993474	0.5195960	0.4539248	-1.0226269	-1.1024728	-1.0942916	-0.1833020	-0.0438927	-0.8793546	-1.0098889	-0.6771997	-0.1502676	-0.3078842	0.3605338	0.3554182	0.3704549	0.6653755	0.5775064	0.6121787	0.8277965	NA	NA	0.8245816	0.9216204	0.7325726	-0.0270612	-0.2151231	-0.1363226	0.6173618	0.7376256	0.8033793	-0.5811965	NA	-0.4847241	0.9311092	1.2801633	NA	0.7113407	-1.2065107	-1.1708308	-1.1653019	-0.0923609	0.6396253	1.2662194	-0.9498289	NA	-0.6065728	-0.0845900	-0.9807654	0.3455690	-0.4893868	-0.7831539	-0.5213339	-0.7087102	-0.7461681	0.4491900	0.9437299	-1.0482221	0.1726779	-0.1142393	NA	0.5706681	0.5623008	0.9828110	0.7419600	0.3576262	NA	NA	1.0393255	NA	-0.0647337	1.1845169	NA	-0.1822666	-0.2597404	-0.5228128	0.0115260	0.5919935	-0.1491874	-0.5885809	-1.2129347	-1.2129347	-1.2129347	-0.2166972	0.5468545	-0.7680559	-0.7449049	-0.7429973	NA	NA	-0.9592222	-0.8139427	-0.8785836	NA	NA	0.1814787	-0.1280693	-0.0115336	0.9635425	1.1268573	0.5485575	0.1501771	NA	0.6535611	NA	NA	-0.1941577	0.1431369	0.6859732	NA	0.2541027	0.2891761	NA	1.0186949	1.1321526	-0.1219070	-0.2176328	-0.0800270	1.0828588	1.2746572	-0.4882162	0.0047628	0.4906751	-0.2286988	-0.5667304	-1.2129347	-1.0739729	-0.6882952	-1.2129347	-1.2129347	-0.0635145	-0.0665492	-0.0733124	0.6392114	1.3428912	-0.1107703	NA	-0.0722286	1.1872501	1.412518	-1.2129347	-1.1968503	-0.8936754	-0.1459913	NA	0.6756289	0.5720561	0.6176212	0.9505370	1.2537553	NA	NA	0.9439039	NA	NA	NA	NA	NA	NA	NA	NA	-0.4620378	-0.4849288	0.4128904	0.4142778	NA	-1.064300	-1.0989834	0.1673887	1.3582380	0.3539363	0.3685033	0.2528781	0.2781534	0.3466963	NA	0.1557142	0.8648999	0.9532988	1.0514958	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.212935	-1.212935	-1.1132407	-0.5717918	-0.9897867	-0.7825977	NA	0.3228440	NA	-0.4447213	-0.5551008	-0.5700579	NA	0.5851109	-0.7663879	-0.7654775	-0.5166685	-0.2084645	-0.3524867	-0.4742823	-0.1504134	-0.1763825	0.1254919	NA	0.2200036	NA	-0.5602103	-1.2129347	NA	NA	0.1436746	-0.7721312	NA	-0.7138634	-0.1938314	-0.5822431	0.5603992	0.1363304	0.0729901	0.3406579	0.6851926	0.7569437	-0.1977253	-0.0383990	-0.5047963	NA	-0.7087054	1.0749564	1.1020744	NA	-1.2661569	-1.2481171	0.9352205	0.9165978
IgG1_OVA	-3.6862299	-3.9271443	25.8639030	34.7225342	15.0086422	41.8908463	-1.4414105	NA	0.4615569	-3.5093210	0.8999290	-4.1536922	-4.1636915	-3.9715629	NA	NA	-4.1636915	-4.1636915	-4.0950480	-4.1636915	-4.0703511	-3.5621505	-2.9157643	-3.2923942	-4.0203466	-3.1442118	10.0501842	11.2665138	12.0506458	NA	7.0990324	-4.1186123	-4.0531650	-4.0924330	-3.8830023	NA	-4.0531650	-4.0400753	-4.0466204	-3.9353600	-3.8306446	-2.5347905	-1.7363350	-2.8882053	-1.2258472	-1.2454813	-2.9601972	NA	-3.2547092	-3.1827176	-3.7155244	23.7641830	-3.4314167	NA	-3.7128396	-3.8044658	-3.7155244	NA	28.5823421	-2.6787744	-2.6656849	NA	-3.4331155	NA	-4.0400753	-4.0662541	16.2284088	-4.1055226	-4.1636915	-3.7586527	11.2232580	-4.1057677	-4.0403204	-4.0010524	-4.0534101	-4.0272312	16.8330154	NA	-3.9617839	NA	NA	NA	-4.0664997	-4.0403204	-4.1317096	-4.0082245	-4.0576186	5.0175676	NA	NA	10.4169588	NA	NA	-2.5612144	-2.5743041	-2.7486753	-2.5140533	-0.2419252	NA	-3.3858490	-3.6869059	-3.6377687	-3.8229966	-3.7859511	0.8265080	-4.1636915	-4.1636915	-4.1636915	-4.1636915	-4.1636915	-3.5865009	1.1381612	-0.3702402	-4.1636915	-4.1636915	-4.1636915	-4.0767293	-4.1152277	14.8772831	NA	8.2890997	24.9766808	6.0162506	-4.0125656	-4.1636915	-4.0253983	-3.7815757	-3.8714051	-3.9997327	-4.1458621	-4.0703130	-4.0125656	-3.9740672	6.0611649	3.2953916	13.6710033	8.7367992	5.3553629	0.1802568	0.0730591	0.4849248	0.3043809	-1.4672062	16.0060596	-0.8127875	NA	NA	14.5687656	18.7639294	-1.9596713	-1.7436643	-2.8100019	-2.4376299	-1.8584740	-2.1398969	-1.9721375	0.7670245	NA	1.1224704	-3.8420565	-1.9160397	NA	-0.6280673	-2.3586419	-1.7380221	-1.0609825	-1.7406690	-3.4030271	-1.7789123	4.4292192	NA	-5.1858130	-5.8304024	3.4381618	-5.8107500	-5.8579154	-5.8893585	-6.1861057	-6.1861057	-6.1861057	-6.1861057	-6.1566272	0.7704105	-5.2526302	-6.0564013	NA	-5.6712203	-5.7891331	-1.3425980	-4.3781118	-5.8402281	NA	NA	-4.2916422	NA	0.9692268	-3.8732219	NA	1.3622689	0.6547928	-3.9300437	-4.4744067	-4.5137110	-4.0086522	-4.6709280	-6.1861057	-6.1861057	-6.1861057	-6.1861057	-6.1723490	-6.1861057	-4.9052014	-5.8050613	NA	NA	9.1130600	9.6908312	9.9030743	NA	NA	34.2088013	18.1746464	24.5340672	27.9810467	26.4128094	-6.1605577	-6.1861057	NA	-6.1782446	NA	NA	12.9683895	12.9212246	14.6525745	NA	-2.1106718	-0.4441729	NA	-1.6409862	-1.9239767	-2.3504274	-3.0048425	-2.2777145	-2.6589656	-1.7608643	13.6330433	10.8542366	8.3368015	7.3227530	11.5892258	-5.8205762	-5.8068199	-5.7773418	-5.7714462	-5.9011497	1.6527276	1.5151625	0.7487307	-1.0258548	-0.8234382	-6.1845326	NA	-6.1845326	-6.0921679	-5.956568	-5.9821367	-6.0096498	-5.9664149	-5.9231806	NA	-6.1861057	-6.1861057	-6.1861057	-6.1861057	-6.1255765	NA	NA	-6.1137853	NA	NA	NA	NA	NA	NA	NA	NA	0.9436789	0.3089156	-0.7522979	0.2086902	NA	-3.265802	-2.6330047	-0.3022647	2.1739006	0.2185163	0.5172281	-0.7365763	-1.2436006	1.1716433	NA	-4.5235372	-2.8707950	-3.9123566	-4.6728930	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.310831	-3.529347	-4.3272228	-3.0635924	1.9518318	3.2960362	NA	3.9622421	NA	5.6558409	4.2074804	3.6925955	NA	3.8340902	-2.7906346	-3.0873814	-3.1817114	-3.5944057	-3.8950830	-3.8482895	-5.8091984	-5.6696682	-5.6952162	NA	-5.7600679	NA	-3.9230862	-4.9501843	NA	NA	-2.9183526	9.0851336	NA	11.1938047	11.1761179	-3.9355524	11.9857845	14.1062469	11.5888119	11.0503445	12.3748970	10.8774061	-3.9729509	-3.7131824	-4.1636915	NA	-4.1636915	-4.1636915	-4.1033483	NA	-4.0907621	-4.0530043	-3.9523163	-3.9900742
IgG2_PT	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	NA	-3.0789576	-3.0789576	-3.0789576	2.2898321	1.4485154	1.0218782	NA	NA	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-2.9096565	-2.3922753	-2.2544007	-2.9824626	-1.7447572	-2.0359821	-3.0789576	-3.0789576	-3.0789576	NA	-0.7193732	-2.8081582	-2.7708585	-2.9573572	-2.6589594	NA	-2.8827577	-2.8827577	-2.8827577	-2.4351609	-2.5097604	-2.6589594	-1.5399675	-2.0621636	-1.7637658	0.8472152	-3.0789576	NA	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	NA	-3.0789576	-3.0789576	-3.0789576	NA	-3.0789576	-3.0789576	-3.0789576	NA	-2.8081582	NA	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-2.5843599	-3.0789576	-3.0087206	-3.0789576	-3.0789576	-2.6115091	3.2473612	-3.0789576	NA	-3.0789576	NA	NA	NA	-0.6254516	-1.0226631	-0.7274384	2.4650154	20.2690811	-2.8101149	NA	NA	-2.8101149	NA	NA	27.7751732	26.1863251	24.8121910	23.4206085	26.6130600	NA	-0.6751027	-0.8240571	-2.0371628	-0.8092961	0.5822864	-0.0140696	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-2.8386762	0.0334029	2.1696601	-2.8545003	-2.7015338	-3.0789576	-0.2540689	2.2698793	-1.3248348	NA	-0.0628605	-0.7129683	-1.4778013	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0074668	-2.7780170	-2.6250505	-3.0789576	-2.7780170	-2.8545003	-1.5542846	-0.6747270	-1.1336265	-2.0131841	-1.0189013	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-3.0789576	1.5999913	NA	NA	-3.0789576	-3.0789576	0.0334029	-3.0789576	-3.0789576	-3.0789576	-3.0789576	-0.0975170	-0.2989039	76.7645950	NA	65.6917953	-3.0789576	1.4813104	NA	129.2942657	2.4302473	4.4656897	2.0638680	2.5053043	3.3729115	1.6949363	-3.0789576	NA	-8.9500046	-8.9500046	-3.0789576	-8.9500046	-8.9500046	-8.9500046	1.9949903	-6.8199277	-6.8199277	4.3547106	14.1325197	-3.0789576	39.2754555	21.1166687	NA	45.5611877	50.4500923	-3.0789576	-2.6294382	-4.7246828	NA	NA	1.5610514	NA	-8.9500046	-3.0048294	NA	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-2.9205728	-8.9500046	-8.9500046	-8.9500046	NA	NA	28.8573036	27.1112671	24.3176079	NA	NA	-7.5183425	-6.1215129	-6.8199277	2.9578810	2.9578810	30.1960602	17.6245956	NA	14.8309336	NA	NA	-8.9500046	-8.9500046	-8.0472937	NA	-8.9500046	-8.9500046	NA	-8.9500046	-8.2515907	-8.9500046	-4.0611010	-6.8547602	-5.4579306	-4.7595158	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	15.6988134	19.1908875	11.5083227	15.3496065	16.3972282	-8.9500046	-8.9500046	-8.9500046	-4.6942105	0.5439014	2.9883537	NA	-5.3926253	0.8931088	9.972503	-8.9500046	-8.9500046	-8.9500046	-8.9500046	NA	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	NA	NA	1.5915236	NA	NA	NA	NA	NA	NA	NA	NA	17.3334579	19.4287033	22.9207802	33.3969994	NA	-8.915173	-7.5183425	-6.1215129	5.0531254	-8.9500046	-8.9500046	-8.9500046	-8.9500046	-8.9500046	NA	-8.9500046	-8.9500046	-8.9500046	-8.9500046	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-8.950005	-8.950005	-8.9500046	-8.9500046	-8.9500046	-8.9500046	NA	-8.9500046	NA	-8.9500046	-8.9500046	-8.9500046	NA	-6.1563454	-8.9500046	-8.9500046	-8.9500046	-8.0472937	10.1114941	-3.0789576	3.8257599	8.7146645	3.1273451	NA	18.4924736	NA	-3.0789576	14.8614073	NA	NA	18.3534813	-8.9500046	NA	-8.2515907	-4.4103084	-3.0789576	-5.1087232	1.0321002	3.1273451	2.4289303	6.6194191	22.6829605	-3.0789576	-3.0789576	-3.0789576	NA	-3.0789576	-3.0789576	-3.0789576	NA	-3.0789576	-3.0789576	-2.5385911	-2.6849070

# 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	3.7817960	1.6860436	2.103010	2.3629928	2.283472	3.225231	0.4426599	3.513929	1.2160301	1.0061283	5.473251	9.8416190	7.9445229	7.7529454	3.513929	3.513929	2.3076425	1.6299928	1.2789168	10.2521091	9.8400903	3.5303836	3.695549	4.2190886	9.0965457	9.1659980	4.8708758	5.1196609	1.4647727	3.513929	7.2101045	5.8285065	0.6608377	0.3102512	1.5062933	3.513929	3.5332825	0.4564519	0.2530236	7.4170604	4.9169197	0.4611721	0.4843895	0.4297104	4.3838277	7.154470	0.3488419	3.361033	0.3075581	0.3007474	1.4009514	1.214672	0.8112671	3.333923	0.4590774	0.6353109	1.3727455	3.563275	0.8416710	0.7856209	0.3500776	3.513929	1.152297	3.513929	0.8353920	0.3500776	0.6507711	0.6384170	0.1772237	2.4780250	6.394068	1.1167932	0.9102654	1.1234381	2.0109491	4.1275029	6.994369	3.513929	0.3062050	3.513929	3.513929	3.513929	1.7487873	1.6040691	1.6954832	7.8800092	14.5987277	0.6897664	3.473771	3.479576	0.7591972	3.513929	3.513929	1.399335	1.878898	2.352769	4.0408182	4.246705	3.689044	1.1767731	0.6573443	0.7252724	1.5668098	2.342415	1.730972	0.8361778	0.6751575	0.6169705	4.9305987	6.5686560	2.3415747	1.530528	7.825564	1.2845793	1.2037909	1.2014058	7.8977370	8.7658315	1.125184	3.450064	0.9276452	0.9003823	1.553392	1.0271773	0.9283977	1.0148590	12.3787065	15.7200828	0.2490268	0.2795610	0.1772237	0.5602756	2.188694	9.7174563	10.5061288	9.3232951	12.8292756	10.8114648	5.3144922	5.1541190	5.6544490	12.0771098	15.0319037	0.1772237	3.841113	3.513929	3.513929	0.3382177	0.1772237	3.217443	0.5588579	0.5193710	0.3331394	1.026454	2.9507763	2.324482	2.9906156	3.513929	0.1772237	3.3087189	5.978847	3.513929	5.9770594	16.7630410	8.7676110	6.1179667	6.6955504	11.7673240	5.327744	0.3562138	3.264920	0.7943692	0.7803555	0.3426192	0.9134862	1.8360608	2.5811272	0.9083598	2.3120744	2.1999640	7.702712	14.207446	0.3188887	2.3447733	3.8652692	3.513929	14.006581	17.647831	9.0236068	3.0407913	4.4748693	3.513929	3.513929	4.958345	3.513929	0.5234358	10.7202535	3.513929	4.454304	16.9102254	1.3268931	1.1213574	1.1400425	17.015330	18.9819322	0.4061878	0.3618107	0.3431256	3.192596	19.626100	0.8756251	0.8639469	0.9013171	3.513929	3.513929	0.9036772	0.9176910	0.8803210	3.513929	3.513929	0.1469440	0.3454726	0.2707324	0.2146773	1.620727	6.5862799	8.7046981	3.513929	6.497526	3.513929	3.513929	2.4082904	3.099637	8.744858	3.513929	2.573629	2.779165	3.513929	8.914869	12.350583	0.1982920	0.2450047	0.2917173	2.085482	3.344387	-0.1211984	-0.1679111	-0.149226	0.2291462	1.0139184	10.9099889	10.0714974	10.2443337	10.2957177	11.3911290	0.3879693	0.5935049	0.3225715	1.8337251	4.472989	0.7873621	3.513929	0.7336426	4.365550	7.509310	3.9568141	3.3915913	3.9101014	4.3165011	3.513929	0.1450636	0.1777625	0.1263785	0.9882264	2.062617	3.513929	3.513929	2.5390859	3.513929	3.513929	3.616406	3.057005	2.794041	2.853174	2.918041	3.513929	1.1162195	1.1676035	2.835244	3.818545	3.513929	0.2987599	0.2707324	1.1676149	4.178244	0.0142682	0.046967	0.0422957	0.7476563	1.3175507	3.513929	-0.0399179	3.2323017	4.1478696	5.4885221	3.646230	3.123670	3.537871	3.171000	2.941820	2.850991	2.685412	2.839627	2.941368	2.938250	3.513929	-0.1987653	-0.2104435	0.3687930	0.9924068	0.0208085	0.0021236	3.513929	0.4599073	3.513929	0.6911101	0.5252805	0.7378230	3.513929	4.2949896	-0.0698144	-0.0511296	-0.0231018	1.4249897	3.2701385	0.3634875	1.8313894	1.7566493	1.803362	3.513929	5.769264	3.513929	0.3369532	4.9471221	3.513929	3.513929	9.025135	3.8675692	3.513929	4.2716331	5.925261	0.4889607	9.8187585	0.4767232	0.5608060	0.4767232	1.051289	3.347214	1.0315113	1.0712752	0.1772237	3.473044	0.1772237	0.3945787	0.3513105	3.513929	2.0635989	2.0158818	28.4306922	22.111818
IgG_PRN	2.4563727	1.3143668	1.488713	0.6877551	11.363957	12.674273	1.1993685	2.305515	2.1009483	4.8634150	15.142298	0.6824461	0.6642072	0.6654361	2.305515	2.305515	1.9433066	1.3728647	1.0861452	0.9103165	0.8123629	2.4422846	0.698164	0.7058399	0.7744943	0.8018486	0.7669358	0.7726375	2.2716660	2.305515	0.7154944	2.1365392	11.9797461	5.6134751	10.1622808	2.305515	1.5421553	1.9461528	1.0053986	0.7862358	0.7667813	0.6427989	0.6704369	0.5988665	0.8223844	28.949810	1.2390826	2.269106	1.1486775	1.1104650	3.9100752	6.527078	0.9561672	2.299170	0.6810523	0.8206240	5.4117749	1.952011	4.6238739	1.3065492	0.6631935	2.305515	4.638808	2.305515	1.0028282	0.5801944	3.3215864	0.8468143	0.7833133	0.7498279	8.803439	5.4776809	4.4513009	5.6525118	6.7383378	0.7723652	6.869021	2.305515	3.0887544	2.305515	2.305515	2.305515	1.5506979	1.4796721	1.4410276	0.8486617	0.9812937	0.5059779	2.069144	2.251356	0.5221028	2.305515	2.305515	1.450981	2.003457	2.837614	0.7257856	6.568772	2.919970	3.6192908	1.9613588	2.3261127	3.8745794	4.054646	3.644285	0.7450876	0.6658413	0.6205239	0.7466878	0.8189166	1.4633725	2.741334	6.622748	4.3067515	3.8624411	3.8597994	0.7989110	0.8257375	1.550747	2.215556	1.3474361	1.3084910	8.469992	0.8884399	0.8345666	0.8656397	0.8706043	0.9416173	0.4715004	0.4830900	0.4141383	1.4891995	10.225123	0.6216871	0.6326120	0.6174921	0.8074862	0.7918549	0.7284138	0.7341387	0.7344973	0.8121035	0.8855962	1.2003031	4.605200	2.305515	2.305515	4.4716136	0.8319957	4.054484	0.5594715	0.5447458	0.4640924	2.286180	0.8631568	3.103708	1.9318843	2.305515	0.6836017	2.1603866	4.622970	2.305515	0.7954051	0.6696579	0.5475450	0.5037022	0.6691139	0.7412124	4.439257	0.4314728	1.928171	-4.4400504	-4.4346569	0.4309363	-4.4342420	-0.4194267	3.9614656	-2.4343708	-0.9530520	-0.4677613	3.870673	7.361889	0.4275444	-4.5495131	-4.3388841	2.305515	1.021994	4.666998	2.1773946	-1.7947385	0.5263307	2.305515	2.305515	1.998384	2.305515	-2.8775504	6.5329792	2.305515	6.965317	7.6554277	1.1722547	0.9703383	1.1513716	7.457522	7.6841938	-3.8432524	-3.7532198	-3.9059017	1.105357	6.076924	5.1333115	4.7901919	5.0024807	2.305515	2.305515	-0.1793013	-0.0563536	-0.1534393	2.305515	2.305515	2.6929204	4.7765305	4.4186132	2.6978991	7.049610	-1.9163034	-0.3136964	2.305515	8.525535	2.305515	2.305515	7.1531627	6.988587	7.487293	2.305515	1.116007	1.228859	2.305515	5.122386	6.520449	2.3541963	2.2969406	2.5053568	7.030772	7.744117	3.9524763	3.2366414	3.483366	8.8272340	8.8730104	-4.5495131	-4.5495131	-4.5495131	2.1579106	4.7145030	-0.9881482	-0.9212115	-1.2942035	-0.1233656	1.573700	-4.1538088	2.305515	-4.0358398	1.038068	6.657150	-4.4510777	-4.4253542	-4.4668438	-3.8222330	2.305515	2.1523418	1.6584767	1.6454766	5.9692514	6.201455	2.305515	2.305515	-0.7259336	2.305515	2.305515	2.336997	1.903584	1.638570	1.717202	1.825177	2.305515	5.6502717	5.8123577	6.679491	6.458767	2.305515	-1.6477270	-1.5138538	3.5018303	8.469109	-1.6589992	-1.689010	-1.0522821	7.6427042	7.9098976	2.305515	-4.0811265	5.8748686	4.8966811	6.6789382	2.663520	1.728629	2.610647	1.826597	2.168100	1.979976	1.682615	1.872703	1.912614	2.059633	2.305515	-4.3124993	-4.2625735	5.7444541	6.8974516	2.5200155	2.6173780	2.305515	6.5241821	2.305515	-2.3049533	-2.7892759	-2.4100606	2.305515	7.3817742	-1.1642678	-1.2256725	-1.4486101	3.1550817	7.0578749	0.4840461	2.3302674	2.2684479	1.945243	2.305515	5.552768	2.305515	0.4796617	-0.0845037	2.305515	2.305515	6.221509	-1.3248293	2.305515	-1.0449126	4.984087	2.1727655	5.4317605	-1.6899416	-1.2018850	-1.4853976	2.264437	6.105411	3.5920684	3.6241019	0.4125813	2.210650	0.4182271	9.0745924	8.2933090	2.305515	5.5793693	5.2823365	8.1830261	6.624003
IgG_FHA	33.2427635	2.6021028	6.290375	3.7472689	71.597441	22.154032	2.7001364	5.189390	2.1237314	2.6128623	1.647933	3.8477659	3.7336867	3.7330713	5.189390	5.189390	11.2967725	6.6641793	2.3148263	4.5008054	4.4656339	2.5557473	3.284824	3.3298163	3.7185481	3.6566527	3.3440576	3.3399184	12.8247828	5.189390	3.9275367	14.8183384	2.3968790	1.8895326	17.6720982	5.189390	4.7423172	2.0528860	1.8210392	3.8378701	3.7373371	3.6393850	3.5191677	3.3291318	4.4656339	64.099608	2.0570948	5.135151	2.0374491	2.0285847	3.5284920	2.589290	1.8211303	5.162267	1.7159111	1.7638032	2.8182943	5.550101	2.2674587	2.4774024	1.9243076	5.189390	3.786900	5.189390	3.6200438	2.2961817	2.1328468	3.2026994	3.6781454	3.6506948	1.647933	6.2038088	5.4019909	7.2362089	12.8583035	3.9618819	12.326139	5.189390	1.9119787	5.189390	5.189390	5.189390	2.2626188	2.1896949	2.2168341	3.6905775	4.6780329	2.1187351	5.193233	5.016768	2.1964896	5.189390	5.189390	3.788143	4.786701	8.326726	3.7217836	1.647933	5.673716	4.3686352	2.8925636	3.0568240	3.8186469	4.742317	2.331974	2.2801845	2.1665590	2.1170485	3.7435517	4.3191242	5.6984043	2.226063	4.295873	2.3378971	2.2825754	2.3184817	3.5804379	4.0040541	2.521733	5.104863	2.3519254	2.3171101	5.598933	1.9814100	1.9462042	1.9779129	3.7950513	4.2546897	1.8171668	1.8294654	1.7026997	5.4705720	1.647933	3.4970751	3.5334251	3.4901154	3.8746562	3.8871059	3.3927715	3.4236519	3.4089568	3.9090044	4.3548107	1.9383202	1.647933	5.189390	5.189390	3.5491116	3.9324787	11.365494	2.0613313	2.0462432	1.8540297	2.867682	4.0617232	5.910461	1.6479330	5.189390	3.7532146	11.1851411	1.647933	5.189390	4.3867488	4.1209722	4.3602324	3.6444066	3.5722687	4.3750877	1.647933	1.9221978	5.042499	8.7799115	8.8140712	1.9258399	8.8166986	13.1602311	19.3050289	3.4414027	9.5586104	9.6584611	24.374708	38.076673	1.9272389	-0.2701759	0.8452682	5.189390	20.811592	35.747250	10.9500394	2.7201083	5.5028071	5.189390	5.189390	25.800217	5.189390	7.3557158	1.6479330	5.189390	12.212957	20.9341831	10.8570819	6.6449323	8.7326131	14.421511	19.2879505	-0.1039176	-2.9339142	1.1363411	3.750869	8.696138	-2.2719088	-2.1589189	4.0160971	5.189390	5.189390	-1.1352768	-0.2379284	-1.9117517	5.189390	5.189390	7.1069975	14.7075233	10.9696670	8.9989171	24.963304	24.5533886	40.1512165	5.189390	42.629106	5.189390	5.189390	-3.3427696	-2.714757	-3.214014	5.189390	-2.764596	2.873062	5.189390	2.519641	4.563966	-3.0037136	-2.1865091	-1.1012831	5.253728	5.682038	4.8896508	2.6587622	1.142599	8.0297122	30.0902863	22.3071384	17.1542854	12.6425805	17.9806862	20.9354973	-3.5797443	-3.4785795	-3.5666065	-3.5482121	-3.566606	-3.5508404	5.189390	-3.5560951	-3.453617	-3.450989	-3.4557590	-3.5267067	-3.4505043	-3.3559074	5.189390	-3.5153666	-3.4142017	-3.5179939	-3.4733238	-3.368218	5.189390	5.189390	-3.4917183	5.189390	5.189390	6.011614	5.032083	4.927546	4.930649	4.816674	5.189390	-3.4082079	0.6383982	3.203001	4.171296	5.189390	7.6351585	8.0187974	21.2530403	65.626440	6.8538318	6.602889	8.7286716	19.7267704	23.1072636	5.189390	-3.5092716	0.5398607	-1.0025792	1.4358950	5.813321	5.097273	5.555629	4.992933	4.557948	4.435976	4.318182	4.550270	4.553495	4.733876	5.189390	-3.5981388	-3.5981388	-3.5981388	-3.3834114	-2.8419456	-3.5211973	5.189390	5.5915494	5.189390	-2.2613983	-3.5831146	-3.1955338	5.189390	7.1824350	-3.5981388	-3.5981388	-3.5981388	-3.5503550	-3.5004292	1.9190881	-3.5293341	-3.5674353	-3.506999	5.189390	-3.464956	5.189390	1.8813739	-3.5377016	5.189390	5.189390	-3.511425	-3.2940712	5.189390	2.7101469	2.354098	2.1690812	6.2798319	-3.4623280	-3.5556107	-3.4321098	-3.470211	-3.225839	6.9963617	7.1423316	1.6667747	5.291558	1.6687021	3.8751097	3.6501651	5.189390	4.3940787	4.2261119	19.7152996	35.045761
IgG1_PT	14.1694088	4.3421941	3.264126	5.1102381	7.935419	37.077314	-3.9551210	9.355202	-3.7774315	-3.4758978	4.677656	45.9702301	39.7062435	33.5415249	9.355202	9.355202	3.6442089	2.5373821	1.8749771	13.2317352	44.9085770	9.7776155	17.114019	9.9969006	12.2005739	38.5799694	-2.0539331	-2.0668344	-2.0137100	9.355202	23.6957188	-3.7083187	-3.6658773	-3.6470146	1.8539138	9.355202	-3.8380022	-3.8387880	-3.7821989	27.9854832	32.1447773	-3.8529358	-3.7994900	-3.8812304	11.3640194	28.805239	-3.8945913	9.294020	-3.9228859	-3.9252434	-0.2936916	-0.533884	-2.3816204	9.286770	-2.8256874	-3.0394678	-2.5033770	9.446728	0.4949255	-1.8801785	-1.9949284	9.355202	9.829055	9.355202	-3.5094719	-3.5354080	-1.4363031	-3.6014290	2.8477716	14.7762613	22.158899	-3.2028751	-3.0564566	-2.8451471	-0.6987820	7.8459172	38.506937	9.355202	-4.0248165	9.355202	9.355202	9.355202	0.0274887	1.4542398	0.4574013	33.8589764	48.5303345	-2.1047344	9.353149	9.309664	-1.0631647	9.355202	9.355202	3.252029	3.292793	2.136787	9.4209890	19.017950	9.477140	-1.2312136	-2.3642950	-2.1024466	0.8016796	5.250116	6.886855	-2.4063663	-2.2877636	-2.6901083	16.9901676	23.9712734	16.5320473	7.086550	31.811674	-0.9048405	-1.6678600	1.1603575	28.9207230	44.5618439	-3.666846	9.324855	-3.9046602	-3.2719364	-2.234608	-0.7787218	-2.4454985	-0.4854946	51.8917160	55.4687653	-4.0042152	-4.0649414	-4.0467796	-3.9380016	-3.900167	34.5519352	16.4885750	44.6367264	47.7912750	42.4162445	26.6598396	27.7005119	28.6850281	53.3562164	50.1837234	-4.0634518	14.471900	9.355202	9.355202	-4.0069351	-3.7976255	10.596804	-3.8224764	-3.9881029	-3.8971157	-3.059709	5.2568340	11.384630	-1.1774349	9.355202	-0.1822557	12.2364941	29.946167	9.355202	2.1057081	17.2945004	19.8037701	20.2629738	30.1760921	37.8737392	28.156494	-3.8671913	9.250965	1.4537306	2.9943228	-3.9076366	6.9074273	2.1932149	0.5909986	0.0339565	-0.5186310	-0.5186310	23.142841	58.114288	-3.9750443	1.6977968	-0.2125378	9.355202	69.268181	87.077423	-1.9258518	4.8406048	0.5269461	9.355202	9.355202	11.157034	9.355202	4.2267966	44.1506424	9.355202	11.744887	0.5293751	1.2380476	31.3104095	51.2764893	6.291191	1.0223646	1.0026445	1.3723869	0.8793974	6.980143	97.043175	4.8855224	6.0255604	5.7174420	9.355202	9.355202	-0.5186310	-0.3186464	-0.5186310	9.355202	9.355202	-0.5186310	-0.5186310	-0.5186310	-0.5186310	-0.027667	-0.4590330	-0.5186310	9.355202	2.437281	9.355202	9.355202	7.1969085	22.325525	58.930000	9.355202	9.168369	10.061913	9.355202	34.927073	58.035957	-0.5186310	-0.5186310	-0.4449272	6.456926	11.818188	-0.5182276	0.0363855	1.915908	-0.2101088	-0.5182276	10.0502357	10.7280960	13.3471031	7.0614867	9.0950689	0.8185329	0.5104151	0.5720387	19.0591469	51.041840	-0.2290697	9.355202	-0.2906933	15.484972	41.952347	11.2332602	11.0483894	13.3592777	30.1209221	9.355202	-0.5186310	-0.5186310	-0.5186310	1.9585714	8.583118	9.355202	9.355202	0.3255434	9.355202	9.355202	9.497804	9.168731	9.100200	9.118372	9.128254	9.355202	-0.4763241	-0.4147005	6.302282	11.047306	9.355202	-0.5186310	-0.5186310	0.8966885	12.112201	-0.1484852	1.392107	6.9382391	0.1904449	0.5909986	9.355202	-0.5186310	5.6244216	8.4591112	14.1284914	9.464201	9.241945	9.398249	9.252684	9.071108	9.079054	8.983455	9.060370	9.099528	9.106897	9.355202	-0.5186310	-0.5186310	-0.5186310	1.2068329	-0.4418936	0.0166655	9.355202	3.4984045	9.355202	0.0480623	-0.3216801	-0.3337593	9.355202	8.8910627	-0.5186310	-0.5186310	1.0684280	5.8719988	7.9672046	-4.0649414	2.1129537	1.8356471	10.062410	9.355202	15.485295	9.355202	-4.0649414	9.0485353	9.355202	9.355202	48.546081	9.0451212	9.355202	10.8322086	18.103804	-4.0649414	40.2575207	-0.5186310	-0.5186310	-0.4721642	3.283804	6.056870	-3.9177475	-2.8327494	-4.0649414	9.335891	-4.0649414	-4.0649414	-4.0064201	9.355202	0.9743004	2.6664085	65.8394852	61.723862
IgG1_PRN	2.3302742	1.5284053	1.312761	1.2526699	2.527933	3.265094	0.0390965	1.713440	0.0821331	0.2282981	1.317251	1.5933361	1.3866626	1.1822575	1.713440	1.713440	1.5628608	1.4597616	1.2189070	1.9637823	3.0978538	1.5634845	1.969623	1.4077812	1.6176027	2.6763705	0.9227958	1.0455729	1.1016988	1.713440	1.9487063	2.8577765	3.2810172	2.9498631	3.3882235	1.713440	1.5253766	1.5015529	1.6049273	2.6392647	2.6572067	0.2182260	0.2564863	0.2068785	2.4799255	2.494333	1.5344664	1.776192	1.4303493	1.4227449	2.0974628	3.410729	0.5112982	1.721127	0.4193603	0.3869221	2.0340379	1.640389	3.5069748	1.2563953	1.2282645	1.713440	1.216797	1.713440	0.4487388	0.4134489	3.3707341	0.3858825	2.1754545	2.6102277	3.572792	2.6664194	2.8220974	2.8472527	2.9649030	3.2045149	3.831099	1.713440	1.9555862	1.713440	1.713440	1.713440	0.1403980	0.1881653	0.1485121	3.0984551	3.0723387	0.0238645	1.641315	1.610517	0.0342554	1.713440	1.713440	2.382359	2.349356	2.073078	2.5663623	2.995393	2.000818	2.4784521	2.2797214	2.1578954	2.2026840	2.420281	2.839401	0.3122894	0.3543015	0.3091774	2.3934931	2.7089046	2.4153527	2.852040	3.173892	2.5625557	2.3627976	2.8233749	3.1601449	3.5226330	1.288268	1.608660	0.9038068	1.6093963	2.937496	0.8032357	0.5019583	0.8197794	3.1149355	3.1358107	-0.0158893	-0.0234724	-0.0282218	1.4140301	2.227169	0.2206860	0.1505818	0.3618791	2.9305784	2.8109220	1.9338887	1.9715555	1.9741378	3.0881442	3.0998765	0.5012578	2.971099	1.713440	1.713440	2.6921653	3.0793601	2.771313	0.0864455	0.0155745	0.0531571	1.556529	2.8458914	2.844585	1.2621167	1.713440	1.4683580	2.1933616	3.179811	1.713440	2.9351906	-0.0074410	0.0104942	0.0202057	0.9641232	1.8341724	3.209408	-0.0229990	1.634488	0.1029508	0.5266764	-0.0245348	1.6743120	0.3986239	0.0524038	0.9115950	0.5980946	0.5256438	2.207230	3.854031	-0.0308381	0.0867541	0.0518603	1.713440	1.836171	2.469422	0.2108309	1.4144566	0.7786508	1.713440	1.713440	2.107332	1.713440	1.0600837	3.1672689	1.713440	1.283795	0.2048059	1.1709068	1.9097090	2.5195347	1.609960	1.1066631	0.0762876	0.0853100	0.0741135	1.275177	2.601955	2.7518245	2.7445413	2.6213804	1.713440	1.713440	1.1595163	1.3507799	1.2899060	1.713440	1.713440	2.3311518	1.7011073	1.9314497	2.5289918	3.003754	1.0234507	0.4281368	1.713440	4.145846	1.713440	1.713440	3.0950009	3.113263	3.219629	1.713440	1.716860	1.968617	1.713440	2.522243	3.044889	2.0835165	1.9920969	2.0759071	3.034888	3.505845	1.8020927	2.2940296	2.919454	2.1908702	1.7132277	0.0497949	0.6106498	1.5094633	0.3631866	0.0478382	2.0224251	2.0028583	1.9293206	2.5809971	3.342518	0.1114746	1.713440	0.1546842	1.567828	3.458070	0.0628299	0.0496224	0.0951148	0.4954691	1.713440	1.7569714	1.6677259	1.6594645	2.5938784	3.230880	1.713440	1.713440	1.2966127	1.713440	1.713440	1.704648	1.662988	1.543522	1.651286	1.648962	1.713440	2.7048429	2.6694056	3.186345	3.168626	1.713440	0.3969934	0.4157448	2.2181548	4.196012	0.5040119	1.561152	2.6222595	1.0687257	0.6059213	1.713440	0.5721922	3.0105168	2.8917583	3.0181259	1.758142	1.400611	1.732805	1.494125	1.840810	1.616626	1.590937	1.674355	1.687056	1.585663	1.713440	0.0819075	0.0618292	1.1310352	1.5319331	1.8376077	2.0833861	1.713440	2.9730140	1.713440	0.6200978	0.4940562	0.4643803	1.713440	3.0273331	0.6386315	0.6038463	1.2180202	2.2362987	2.3789719	0.0080695	1.5885899	1.5828286	2.079060	1.713440	2.476098	1.713440	-0.0081847	0.8347914	1.713440	1.713440	3.366324	0.8736483	1.713440	1.0221914	2.370711	-0.0113844	3.2097374	0.9260431	1.0952941	1.2625886	2.311956	2.482784	1.1235610	2.1912576	-0.0151279	1.586734	-0.0358616	2.4212722	2.8397931	1.713440	3.0789024	3.2451204	3.7102398	3.607913
IgG1_FHA	3.9798987	1.3074943	2.775139	2.7162172	2.610007	4.466119	1.1000255	1.794236	1.0654219	1.0155632	3.462704	3.0779868	2.8695170	2.6667017	1.794236	1.794236	2.8410999	2.6735998	2.3668498	2.5163182	4.2649152	0.5706489	1.113634	0.5586936	1.2581201	2.5762557	-0.5095670	-0.4622746	-0.4739254	1.794236	2.7331773	0.5687256	0.6825459	0.7097571	3.9488933	1.794236	0.1221907	0.1164764	0.2264094	3.3014237	3.6377145	2.0085059	2.0714802	1.8988061	3.7266949	3.673672	0.4374901	1.804674	0.3717170	0.3818239	1.9495913	1.182225	-0.4264247	1.735175	-0.4754825	-0.5280387	0.6391023	1.732495	1.3707460	0.8531209	0.8179796	1.794236	1.891331	1.794236	1.4763337	1.5068491	0.9277207	1.4310077	2.0294167	3.2295085	3.498641	2.4927596	2.6855317	2.7005035	2.8877724	3.5803598	4.011833	1.794236	-0.3366675	1.794236	1.794236	1.794236	0.0670854	0.2438335	0.0192903	2.5890876	3.6825536	0.5337200	1.632232	1.619523	0.9059108	1.794236	1.794236	2.665057	2.593840	2.381469	2.9708313	3.575980	2.300621	2.4290689	1.9784582	1.9055712	1.8701534	2.327701	1.287699	-0.0170090	-0.0163279	-0.0732609	2.5352398	3.7047499	4.1133258	1.394961	2.350285	0.5799799	0.4024148	1.0056915	2.1257225	4.1480911	0.785381	1.551258	0.2076824	1.1652541	2.349523	-0.0869792	-0.4098225	-0.1122776	3.3069776	3.7830483	-0.5757387	-0.6567805	-0.6812942	2.3128041	2.470543	1.2637515	0.6275494	1.8255118	3.0979284	2.9566852	1.7136362	1.7227243	1.7709733	3.7983873	3.9829595	-0.2913897	3.739290	1.794236	1.794236	2.1542267	3.7612966	3.447976	-0.1668885	-0.4147089	-0.2878432	0.858427	3.2003707	3.664044	2.5303208	1.794236	2.6772841	3.7956841	4.118933	1.794236	3.6779689	1.4713572	1.5241872	1.6175817	2.0036303	3.4136063	4.128278	0.1555142	1.437911	1.1314963	1.2889320	0.1355245	2.6788594	1.5188160	1.1309738	0.8539887	0.7879841	0.8219443	1.064193	1.267083	-0.0785936	0.7627318	0.7770123	1.794236	1.239219	1.184186	1.6136298	0.9976662	0.7754450	1.794236	1.794236	1.179658	1.794236	1.1382883	4.8011448	1.794236	1.419548	0.8946461	1.0688006	1.2298936	2.0209035	2.262107	1.1173898	2.6100353	2.7718250	2.5065876	3.393905	5.612808	1.3628957	1.3949403	1.5020453	1.794236	1.794236	1.7227180	2.2160977	1.8092728	1.794236	1.794236	0.7272042	0.7141426	0.6986428	0.8931735	1.041727	0.8066187	0.7366085	1.794236	1.233123	1.794236	1.794236	1.2209343	1.495576	1.961265	1.794236	1.421063	1.407653	1.794236	1.509186	1.822664	0.8588925	0.8649879	0.8083877	1.309953	1.594870	0.8913372	1.4017841	2.720831	1.1304513	0.8591186	1.7044647	2.3373424	3.2462548	1.4829401	1.4669179	1.9262111	1.9478062	1.8838916	4.0435817	6.369415	1.7090404	1.794236	1.7492701	4.413834	8.439765	0.9220851	0.9499498	0.8715803	1.2087435	1.794236	1.9728845	1.9328290	1.8816276	3.0580415	5.441521	1.794236	1.794236	1.7919379	1.794236	1.794236	2.111253	1.648852	1.674454	1.732811	1.877213	1.794236	2.0565723	1.9137655	4.212954	5.174635	1.794236	0.6185337	0.6185337	0.9435042	3.580204	1.0743736	1.693667	1.7305878	1.2527078	1.4651763	1.794236	1.2423997	2.6429507	3.1070725	2.8413125	2.126806	1.620831	2.095987	1.609833	1.951051	1.703377	1.547320	1.740334	1.758892	1.804270	1.794236	0.6185337	0.6185337	0.6185337	0.7950615	2.0116404	2.3252927	1.794236	4.2702506	1.794236	0.6194301	0.6749854	0.6185337	1.794236	1.3653339	0.6415222	0.6185337	1.6037260	3.2609805	3.3720912	-0.2238851	1.9206872	1.7970375	1.424347	1.794236	2.419466	1.794236	-0.3941231	2.3435193	1.794236	1.794236	6.777808	0.9926432	1.794236	0.9720930	1.194837	-0.3800652	1.8399050	1.1798338	1.1028575	1.3111464	2.303653	2.297035	1.3615637	3.0414835	-0.8278036	1.711907	-0.8607137	-0.4145193	2.2407957	1.794236	2.1766452	2.6932379	4.2304628	5.404348
IgG1_TT	1.4942538	0.9973522	1.379331	1.4170712	1.796847	1.928070	-0.0360038	1.224114	-0.0140252	0.8696623	1.682223	1.3199178	1.1930064	1.1088043	1.224114	1.224114	1.5521570	1.5000564	1.3901589	1.5980811	1.9856685	1.1547809	1.403872	1.1013945	1.5671515	1.8910604	0.5880249	0.6965238	0.7088143	1.224114	1.1766361	1.4034188	1.4765203	1.4700420	2.1600477	1.224114	0.5930235	0.5758678	0.6565275	1.7216184	1.7512510	0.4642360	0.5210016	0.4467804	1.7937602	1.714260	1.0216352	1.239281	0.9688686	0.9824651	1.5203967	1.438371	0.8694137	1.262547	0.8058097	0.7870545	1.6150367	1.357807	1.5098780	1.1033546	1.1304277	1.224114	1.699897	1.224114	1.1550215	1.1358864	1.3819553	1.1000154	1.4653196	1.7304162	1.814931	1.0635912	1.1017059	1.1314831	1.7195907	1.9195490	1.920492	1.224114	1.2814773	1.224114	1.224114	1.224114	1.3870730	1.4858919	1.3220496	1.7977297	1.8494701	0.8648447	1.263527	1.199772	1.0060085	1.224114	1.224114	1.122303	1.140437	1.038616	1.3817738	1.674813	1.193693	1.0800611	0.9513214	0.9583063	1.0901307	1.224213	1.796419	0.6105511	0.6130344	0.5188918	0.9312354	1.0707972	1.5553380	1.808255	1.916253	1.3939985	1.2565923	1.5771794	1.9345007	2.0869476	1.208348	1.255554	1.0057330	1.3481828	1.700810	1.2990611	1.0670680	1.2775919	1.8736037	1.8801954	1.0300446	0.9004936	0.9077402	1.8225840	1.827339	0.4983789	0.4345670	0.6710702	1.2743880	1.2314498	0.7593166	0.7942922	0.7942922	1.7944520	1.7833190	1.0023960	1.612163	1.224114	1.224114	1.6926584	1.8094932	1.538321	0.8573598	0.7265907	0.7662002	1.366540	1.5853873	1.584723	0.4339994	1.224114	0.5158719	1.4445344	1.854678	1.224114	1.7999295	0.3297648	0.3816225	0.3880638	1.0999973	1.5073664	1.866985	0.8927281	1.289063	0.8701403	1.2501581	0.8712882	1.5097874	1.0545732	0.8577138	0.4765484	0.3163313	0.2909738	1.531316	2.122212	0.7685732	1.3427405	1.0794204	1.224114	2.176220	2.229325	1.8958783	1.4807864	1.2388411	1.224114	1.224114	2.078295	1.224114	1.2288631	1.9645803	1.224114	1.251380	1.0421467	1.0333047	1.2597966	1.5264623	1.148277	0.9772792	0.7114499	0.7488092	0.7077326	1.283893	1.743913	1.1687751	1.2250926	1.1904153	1.224114	1.224114	0.7763971	0.9165671	0.7638378	1.224114	1.224114	1.2699604	1.0262626	1.1270555	1.4127327	1.627860	1.1227274	0.8315539	1.224114	1.839828	1.224114	1.224114	0.9484645	1.316720	1.775996	1.224114	1.125813	1.252521	1.224114	1.695203	1.796712	1.5642995	1.5169034	1.5838155	1.892540	1.990279	0.4346811	0.8648298	1.458541	0.7371659	0.3856122	0.2509916	0.8825137	1.5242850	0.7488755	0.2704811	1.1896399	1.1808511	1.1841435	1.7488333	2.139764	1.3497243	1.224114	1.3613276	2.251444	2.338854	1.1996502	1.2391601	1.3992180	1.6518905	1.224114	1.5159954	1.4720511	1.5046840	1.7817317	1.979494	1.224114	1.224114	0.8352451	1.224114	1.224114	1.176881	1.345640	1.291856	1.381977	1.102031	1.224114	1.3002492	1.2689174	1.797443	1.886446	1.224114	0.5003925	0.5004190	1.7199969	2.345598	0.6668552	1.111422	1.6183866	0.9285290	0.7218186	1.224114	0.7532434	1.7114130	1.6944726	1.7867687	1.077234	1.050591	1.046067	1.179414	1.099779	1.047234	1.181145	1.181649	1.159703	1.015617	1.224114	0.2165664	0.2165664	0.9112301	0.9811160	0.2165664	0.5527994	1.224114	1.2257167	1.224114	0.5290217	0.4379736	0.4349200	1.224114	1.7970842	0.2165664	0.2165664	0.6529364	1.2964602	1.2788825	0.5391437	0.9100167	0.8970326	1.337722	1.224114	1.664131	1.224114	0.4918817	0.9134180	1.224114	1.224114	2.134241	1.3880447	1.224114	1.4301037	1.551873	0.4434525	1.8971337	0.2492869	0.2555268	0.5511080	1.171053	1.436763	1.1476930	1.5000564	1.3814639	1.295716	1.1853306	1.7992656	1.9187986	1.224114	0.3416667	0.4411047	1.9997168	1.898223
IgG1_DT	2.3434474	1.3191508	1.967139	2.0217979	1.448302	2.190173	0.1001074	1.384360	0.1133313	0.1135073	0.836496	2.1334097	2.0159016	1.9785637	1.384360	1.384360	1.7488577	1.6337919	1.5996518	1.3674438	2.0013213	0.7906970	1.035929	0.7867752	0.8694679	1.5003201	0.8892402	0.9939865	1.0110824	1.384360	1.7381735	1.9842563	2.1171761	2.0442574	2.5044525	1.384360	0.7548270	0.7575288	0.7926794	1.8112891	1.8893017	0.3678319	0.4097088	0.3476253	1.3384577	1.400485	1.0342594	1.374279	0.9687142	0.9999530	1.7721645	1.525728	0.8041055	1.418955	0.7255583	0.6824431	1.2249608	1.581927	1.6530659	0.7231661	0.7358024	1.384360	1.658798	1.384360	0.3562088	0.3470061	1.4233210	0.3244916	0.9315922	1.6593448	2.216804	1.6687914	1.7280040	1.7732772	2.1332288	2.2117124	2.473230	1.384360	0.7516220	1.384360	1.384360	1.384360	1.7390542	1.9236616	1.6315117	2.3768060	2.4142921	1.0268353	1.420267	1.341884	1.1908613	1.384360	1.384360	1.390063	1.385596	1.244956	1.4559491	1.543484	1.342661	0.8165235	0.6980984	0.6838788	1.4334284	1.665698	2.001879	1.5392002	1.5567999	1.4977483	1.5682049	1.7064840	2.3852797	2.079356	2.189821	2.1406219	1.9774096	2.1734576	2.2627897	2.3363860	1.277153	1.414538	0.8592745	1.4955555	1.941961	1.7958480	1.1765940	1.6837070	1.9039556	1.8382844	0.3617327	0.2818868	0.2900680	1.2010576	1.340467	0.5050050	0.3744707	0.7071599	1.2340920	1.0764754	1.7448934	1.7397778	1.7548145	2.0497351	1.9618660	1.9965383	2.212156	1.384360	1.384360	2.2089412	2.3059800	2.116932	1.3572984	1.1692365	1.2480370	2.001721	2.1219852	2.187739	0.8031631	1.384360	0.8996355	2.3154688	2.664523	1.384360	2.0957003	0.1778489	0.2135288	0.2190577	1.2919987	2.0239849	2.650579	0.4345307	1.353998	0.7777868	1.2997696	0.4035942	1.7299286	0.8949728	0.6012057	0.8630257	0.6756494	0.6381915	1.833550	2.328089	0.3361375	1.5570375	1.2701203	1.384360	1.955028	1.946660	2.3671706	2.1263196	1.7419858	1.384360	1.384360	2.423685	1.384360	1.3196259	2.5688765	1.384360	1.202093	1.1246192	0.8615468	1.3958856	1.9763530	1.235172	0.7957787	0.1714249	0.1714249	0.1714249	1.167662	1.931214	0.6163037	0.6394547	0.6413623	1.384360	1.384360	0.4251374	0.5704169	0.5057760	1.384360	1.384360	1.5658383	1.2562903	1.3728260	2.3479021	2.511217	1.9329171	1.5345367	1.384360	2.037921	1.384360	1.384360	1.1902019	1.527497	2.070333	1.384360	1.638462	1.673536	1.384360	2.403055	2.516512	1.2624526	1.1667268	1.3043326	2.467218	2.659017	0.8961434	1.3891224	1.875035	1.1556607	0.8176292	0.1714249	0.3103867	0.6960644	0.1714249	0.1714249	1.3208451	1.3178104	1.3110472	2.0235710	2.727251	1.2735893	1.384360	1.3121310	2.571610	2.796877	0.1714249	0.1875093	0.4906842	1.2383683	1.384360	2.0599885	1.9564157	2.0019808	2.3348966	2.638115	1.384360	1.384360	2.3282635	1.384360	1.384360	1.292098	1.544264	1.640034	1.739471	1.321627	1.384360	0.9223218	0.8994308	1.797250	1.798637	1.384360	0.3200594	0.2853762	1.5517483	2.742598	1.7382959	1.752863	1.6372377	1.6625130	1.7310559	1.384360	1.5400738	2.2492595	2.3376584	2.4358554	1.151832	1.132959	1.162941	1.382347	1.329230	1.383691	1.473981	1.499994	1.446450	1.208889	1.384360	0.1714249	0.1714249	0.2711189	0.8125678	0.3945729	0.6017619	1.384360	1.7072036	1.384360	0.9396383	0.8292588	0.8143017	1.384360	1.9694705	0.6179717	0.6188821	0.8676911	1.1758951	1.0318729	0.9100773	1.2339462	1.2079771	1.509851	1.384360	1.604363	1.384360	0.8241493	0.1714249	1.384360	1.384360	1.528034	0.6122284	1.384360	0.6704962	1.190528	0.8021165	1.9447588	1.5206900	1.4573497	1.7250175	2.069552	2.141303	1.1866343	1.3459606	0.8795633	1.479681	0.6756542	2.4593160	2.4864340	1.384360	0.1182027	0.1362425	2.3195801	2.300957
IgG1_OVA	0.8002002	0.5592859	30.350333	39.2089643	19.495072	46.377276	3.0450196	4.486430	4.9479871	0.9771092	5.386359	0.3327379	0.3227386	0.5148673	4.486430	4.486430	0.3227386	0.3227386	0.3913822	0.3227386	0.4160790	0.9242797	1.570666	1.1940360	0.4660835	1.3422184	14.5366144	15.7529440	16.5370760	4.486430	11.5854626	0.3678179	0.4332652	0.3939972	0.6034279	4.486430	0.4332652	0.4463549	0.4398098	0.5510702	0.6557856	1.9516397	2.7500951	1.5982249	3.2605829	3.240949	1.5262330	4.589347	1.2317209	1.3037126	0.7709057	28.250613	1.0550134	4.565458	0.7735906	0.6819644	0.7709057	4.074222	33.0687723	1.8076558	1.8207452	4.486430	1.053315	4.486430	0.4463549	0.4201760	20.7148390	0.3809075	0.3227386	0.7277775	15.709688	0.3806624	0.4461098	0.4853778	0.4330201	0.4591990	21.319446	4.486430	0.5246463	4.486430	4.486430	4.486430	0.4199305	0.4461098	0.3547206	0.4782057	0.4288116	9.5039978	4.404895	4.557413	14.9033890	4.486430	4.486430	1.925216	1.912126	1.737755	1.9723768	4.244505	4.301561	1.1005812	0.7995243	0.8486614	0.6634336	0.700479	5.312938	0.3227386	0.3227386	0.3227386	0.3227386	0.3227386	0.8999293	5.624591	4.116190	0.3227386	0.3227386	0.3227386	0.4097009	0.3712025	19.363713	4.489088	12.7755299	29.4631109	10.502681	0.4738646	0.3227386	0.4610319	0.7048545	0.6150250	0.4866974	0.3405681	0.4161172	0.4738646	0.512363	10.5475950	7.7818217	18.1574335	13.2232294	9.8417931	4.6666870	4.5594893	4.9713550	4.7908111	3.0192239	20.4924898	3.673643	4.486430	4.486430	19.0551958	23.2503595	2.526759	2.7427659	1.6764283	2.0488002	2.627956	2.3465333	2.514293	5.2534547	4.486430	5.6089005	0.6443737	2.570390	4.486430	3.8583629	2.1277883	2.7484081	3.4254477	2.7457612	1.0834031	2.707518	8.9156494	4.717276	-0.6993828	-1.3439722	7.9245920	-1.3243198	-1.3714852	-1.4029284	-1.6996756	-1.6996756	-1.6996756	-1.699676	-1.670197	5.2568407	-0.7662001	-1.5699711	4.486430	-1.184790	-1.302703	3.1438322	0.1083183	-1.3537979	4.486430	4.486430	0.194788	4.486430	5.4556570	0.6132083	4.486430	5.848699	5.1412230	0.5563865	0.0120234	-0.0272808	0.477778	-0.1844978	-1.6996756	-1.6996756	-1.6996756	-1.699676	-1.685919	-1.6996756	-0.4187713	-1.3186312	4.486430	4.486430	13.5994902	14.1772614	14.3895044	4.486430	4.486430	38.6952314	22.6610765	29.0204973	32.4674768	30.899240	-1.6741276	-1.6996756	4.486430	-1.691814	4.486430	4.486430	17.4548197	17.407655	19.139005	4.486430	2.375758	4.042257	4.486430	2.845444	2.562454	2.1360028	1.4815876	2.2087157	1.827465	2.725566	18.1194735	15.3406668	12.823232	11.8091831	16.0756559	-1.3341460	-1.3203897	-1.2909117	-1.2850161	-1.4147196	6.1391578	6.0015926	5.2351608	3.4605753	3.662992	-1.6981025	4.486430	-1.6981025	-1.605738	-1.470138	-1.4957066	-1.5232196	-1.4799848	-1.4367504	4.486430	-1.6996756	-1.6996756	-1.6996756	-1.6996756	-1.639146	4.486430	4.486430	-1.6273551	4.486430	4.486430	4.034903	4.576618	4.413250	4.455549	4.625663	4.486430	5.4301090	4.7953458	3.734132	4.695120	4.486430	1.2206278	1.8534255	4.1841655	6.660331	4.7049465	5.003658	3.7498538	3.2428296	5.6580734	4.486430	-0.0371070	1.6156352	0.5740736	-0.1864629	4.344093	4.296906	4.484480	4.307809	5.075737	4.952235	4.917220	4.838083	4.825214	4.808923	4.486430	3.1755993	0.9570830	0.1592073	1.4228377	6.4382620	7.7824664	4.486430	8.4486723	4.486430	10.1422710	8.6939106	8.1790257	4.486430	8.3205204	1.6957955	1.3990488	1.3047187	0.8920245	0.5913472	0.6381407	-1.3227682	-1.1832380	-1.208786	4.486430	-1.273638	4.486430	0.5633440	-0.4637542	4.486430	4.486430	1.568078	13.5715637	4.486430	15.6802349	15.662548	0.5508778	16.4722147	18.5926771	16.0752420	15.5367746	16.861327	15.363836	0.5134792	0.7732477	0.3227386	4.411131	0.3227386	0.3227386	0.3830819	4.486430	0.3956680	0.4334259	0.5341139	0.496356
IgG2_PT	2.7249870	2.7249870	2.724987	2.7249870	2.724987	2.724987	2.7249870	5.803945	2.7249870	2.7249870	2.724987	8.0937767	7.2524600	6.8258228	5.803945	5.803945	2.7249870	2.7249870	2.7249870	2.7249870	2.8942881	3.4116693	3.549544	2.8214819	4.0591874	3.7679625	2.7249870	2.7249870	2.7249870	5.803945	5.0845714	2.9957864	3.0330861	2.8465874	3.1449852	5.803945	2.9211869	2.9211869	2.9211869	3.3687837	3.2941842	3.1449852	4.2639771	3.7417810	4.0401788	6.651160	2.7249870	5.797487	2.7249870	2.7249870	2.7249870	2.724987	2.7249870	5.762411	2.7249870	2.7249870	2.7249870	5.624681	2.7249870	2.7249870	2.7249870	5.803945	2.995786	5.803945	2.7249870	2.7249870	2.7249870	2.7249870	2.7249870	3.2195847	2.724987	2.7952240	2.7249870	2.7249870	3.1924355	9.0513058	2.724987	5.803945	2.7249870	5.803945	5.803945	5.803945	5.1784930	4.7812815	5.0765061	8.2689600	26.0730257	2.9938297	5.770458	5.859576	2.9938297	5.803945	5.803945	33.579118	31.990270	30.616136	29.2245531	32.417005	5.700421	5.1288419	4.9798875	3.7667818	4.9946485	6.386231	5.789875	2.7249870	2.7249870	2.7249870	2.7249870	2.7249870	2.9652684	5.837347	7.973605	2.9494443	3.1024108	2.7249870	5.5498757	8.0738239	4.479110	5.792691	5.7410841	5.0909762	4.326143	2.7249870	2.7249870	2.7249870	2.7249870	2.7964778	3.0259275	3.1788940	2.7249870	3.0259275	2.949444	4.2496600	5.1292176	4.6703181	3.7907605	4.7850432	2.7249870	2.7249870	2.7249870	2.7249870	2.7249870	2.7249870	7.403936	5.803945	5.803945	2.7249870	2.7249870	5.837347	2.7249870	2.7249870	2.7249870	2.724987	5.7064276	5.505041	82.5685396	5.803945	71.4957399	2.7249870	7.285255	5.803945	135.0982103	8.2341919	10.2696342	7.8678126	8.3092489	9.1768560	7.498881	2.7249870	5.787744	-3.1460600	-3.1460600	2.7249870	-3.1460600	-3.1460600	-3.1460600	7.7989349	-1.0159831	-1.0159831	10.158655	19.936464	2.7249870	45.0794001	26.9206133	5.803945	51.365132	56.254037	2.7249870	3.1745064	1.0792618	5.803945	5.803945	7.364996	5.803945	-3.1460600	2.7991152	5.803945	-3.146060	-3.1460600	-3.1460600	-3.1460600	-3.1460600	-3.146060	-3.1460600	-3.1460600	-3.1460600	-3.1460600	-3.146060	2.883372	-3.1460600	-3.1460600	-3.1460600	5.803945	5.803945	34.6612482	32.9152117	30.1215525	5.803945	5.803945	-1.7143979	-0.3175683	-1.0159831	8.7618256	8.761826	36.0000048	23.4285402	5.803945	20.634878	5.803945	5.803945	-3.1460600	-3.146060	-2.243349	5.803945	-3.146060	-3.146060	5.803945	-3.146060	-2.447646	-3.1460600	1.7428436	-1.0508156	0.346014	1.044429	-3.1460600	-3.1460600	-3.146060	-3.1460600	-3.1460600	21.5027580	24.9948320	17.3122673	21.1535511	22.2011728	-3.1460600	-3.1460600	-3.1460600	1.1097341	6.347846	8.7922983	5.803945	0.4113193	6.697053	15.776447	-3.1460600	-3.1460600	-3.1460600	-3.1460600	5.803945	-3.1460600	-3.1460600	-3.1460600	-3.1460600	-3.146060	5.803945	5.803945	7.3954682	5.803945	5.803945	5.571459	5.682830	5.604180	5.605091	5.780459	5.803945	23.1374025	25.2326479	28.724725	39.200944	5.803945	-3.1112280	-1.7143979	-0.3175683	10.857070	-3.1460600	-3.146060	-3.1460600	-3.1460600	-3.1460600	5.803945	-3.1460600	-3.1460600	-3.1460600	-3.1460600	5.725481	5.733447	5.779166	5.728556	5.952651	5.899493	5.866204	5.838971	5.876016	5.861259	5.803945	-3.1460600	-3.1460600	-3.1460600	-3.1460600	-3.1460600	-3.1460600	5.803945	-3.1460600	5.803945	-3.1460600	-3.1460600	-3.1460600	5.803945	-0.3524008	-3.1460600	-3.1460600	-3.1460600	-2.2433491	15.9154387	2.7249870	9.6297045	14.5186090	8.931290	5.803945	24.296418	5.803945	2.7249870	20.6653519	5.803945	5.803945	24.157426	-3.1460600	5.803945	-2.4476461	1.393636	2.7249870	0.6952214	6.8360448	8.9312897	8.2328749	12.423364	28.486905	2.7249870	2.7249870	2.7249870	5.713297	2.7249870	2.7249870	2.7249870	5.803945	2.7249870	2.7249870	3.2653534	3.119038

# 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")