Imputation using MOFA for 2021 Dataset removed 20 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"]])))

# dataset_cols <- metaDf[metaDf$dataset=="2021_dataset", ]$specimen_id
# cols <- intersect(cols, dataset_cols)

# common_cols <- Reduce(intersect, lapply(normalizedData[c("rnaseq", "abtiter", "cytof", "olink")], colnames))
# common_cols <- intersect(common_cols, dataset_cols)
# removingNums <- sample(common_cols, 20, 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", "ethnicity", "race"),
  plot="log_pval"
)

plot_weights(plot_object,
 view = "cytof",
 factor = 15,
 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 = 1,
  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", "ethnicity", "race"),
  plot="log_pval"
)

plot_weights(plot_object,
 view = "cytof",
 factor = 15,
 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 = 15,
  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/imputedData2021.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	0.1787465	-1.9770117	-1.5481069	-1.2806799	-1.3624778	-0.3937538	-3.2559960	-3.3666871	-2.4604826	-2.6763945	1.9186311	6.4120746	4.4606605	4.2635980	5.3037276	5.6471906	-1.3376153	-2.0346673	-2.3957953	6.8343186	6.4105020	-0.0798645	0.0900304	0.6285596	5.6456685	5.7171082	1.2990088	1.5549169	-2.2046180	2.5273795	3.7052140	2.2840581	-3.0315714	-3.3921959	-2.1619086	-1.6305721	-0.0768826	-3.2418091	-3.4510620	3.9180961	1.3463707	-3.2369537	-3.2130716	-3.2693162	0.7980151	3.6479869	-3.3525002	NA	-3.3949661	-3.4019716	-2.2702668	-2.4618793	-2.8768349	NA	-3.2391083	-3.0578289	-2.2992799	NA	-2.8455606	-2.9032152	-3.3512292	-2.9337695	-2.5260406	-1.0648355	-2.8520193	-3.3512292	-3.0419259	-3.0546339	-3.5290322	-1.1623542	2.8658128	-2.5625610	-2.7750018	-2.5557256	-1.6428034	0.5343518	3.483302	-3.4367287	-3.3963578	-3.4705405	-2.5632813	-1.7595116	-1.9124715	-2.0613332	-1.9673018	4.3942995	11.3053894	-3.0018144	NA	NA	-2.9303956	-2.8295016	-1.5115740	-2.2719288	-1.7786354	-1.2911971	0.4451847	0.6569662	NA	-2.5008636	-3.0351646	-2.9652917	-2.0996594	-1.3018475	-1.9307971	-2.8512108	-3.0168414	-3.0766945	1.3604417	3.0454001	-1.3027115	-2.1369803	4.3382955	-2.3899708	-2.4730723	-2.4755256	4.4125352	5.3054852	-2.5539293	NA	-2.7571247	-2.7851682	-2.1134620	-2.6547425	-2.7563505	-2.6674137	9.0218048	12.4588509	-3.4551733	-3.4237647	-3.5290322	-3.1350126	-1.4599688	6.2843566	7.0956111	5.8789096	9.4852734	7.4096894	1.7553267	1.5903621	2.1050172	8.7115726	11.7509689	-3.5290322	0.2397618	-3.5290322	-3.5290322	-3.3634286	-3.5290322	-0.4017651	-3.1364708	-3.1770887	-3.3686521	-2.6554861	-0.6760671	-1.3202937	-0.6350870	-0.8666632	-3.5290322	-0.3078759	2.4387040	-0.0227208	2.4368649	13.5316715	5.3073153	2.5818062	3.1759276	8.3929176	1.7689576	-3.3449173	NA	-2.5582452	-2.5715489	-3.3589010	-2.4451632	-1.5693316	-0.8620145	-2.4500299	-1.1174357	-1.2238657	4.0000811	10.1752472	-3.3833110	-1.0863936	0.3570654	0.8626089	9.9845600	13.4413223	5.5706410	-0.4256396	0.9357796	0.6697040	0.3725865	1.3947597	-2.8154514	-2.8154514	7.3158669	-2.6535888	0.9162560	12.7410908	-2.0527020	-2.2478240	-2.2300854	12.8408680	14.7078304	-2.9267590	-2.9688876	-2.9866261	-0.2815263	15.3193607	-2.4811060	-2.4921925	-2.4567158	4.7761006	10.3259888	-2.4544754	-2.4411714	-2.4766483	2.8226867	6.6430860	-3.1728680	-2.9843979	-3.0553513	-3.1085665	-1.7737550	2.9402142	4.9513001	3.0067329	2.8559570	4.5743604	-0.3054736	-1.0260944	-0.3697751	4.9894271	11.8408680	-0.8691325	-0.6740108	-0.4988444	5.1508231	8.4124641	-3.1241217	-3.0797756	-3.0354297	-1.3325472	-0.1374254	-3.4274249	-3.4717708	-3.4540324	-3.0948305	-2.3498194	7.0448594	6.2488503	6.4129300	6.4617105	7.5016217	-2.9440546	-2.7489326	-3.0061388	-1.5715489	0.9339943	-2.5648971	-2.4762053	-2.6158948	0.8319988	3.8164778	0.4439721	-0.0926132	0.3996263	0.7854357	5.4816661	-3.1746531	-3.1436110	-3.1923914	-2.3742099	-1.3542540	-1.0371809	-0.9750967	-0.9019258	-0.6181121	1.0249033	NA	NA	NA	NA	NA	-2.1573577	-2.2527013	-2.2039208	-0.6207724	0.3127089	-3.3435998	-3.0287437	-3.0553513	-2.2039101	0.6541829	-3.2988217	-3.2677796	-3.2722142	-2.6025910	-2.0615711	-3.3236549	-3.3502624	-0.2438321	0.6253476	1.8980746	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-3.509931	-3.501062	-3.512148	-2.9622591	-2.3702412	-3.2926128	-3.3103511	-3.2881782	-2.8757613	-1.5897303	-2.6562724	-2.8137002	-2.6119266	-1.1595984	0.7650137	-3.3786442	-3.3609059	-3.3342984	-1.9595755	-0.2079127	-3.3374352	-1.5737662	-1.6447197	-1.6003737	1.6413112	2.1645927	1.7543936	-3.3647294	1.3841052	1.0470762	2.7366552	5.2555022	0.3592486	0.8248806	0.7428408	2.3126855	-3.2083695	6.0089164	-2.8597972	-2.7799747	-2.8597972	-2.3143427	-0.1347418	-2.6502843	-2.6093819	-3.5290322	NA	-3.529032	-3.3054538	-3.3499610	-1.1311584	-1.5886462	-1.6377296	25.5333920	19.0335941
IgG_PRN	0.2045155	-1.2123040	-0.9960029	-1.9897044	11.2556324	12.8812628	-1.3549757	-1.5821781	-0.2364388	3.1907914	15.9431973	-1.9962909	-2.0189190	-2.0173941	-1.9823375	-1.9590485	-0.4320154	-1.1397291	-1.4954453	-1.7135854	-1.8351107	0.1870372	-1.9767908	-1.9672678	-1.8820922	-1.8481553	-1.8914696	-1.8843958	-0.0246391	-1.9695196	-1.9552898	-0.1922832	12.0196037	4.1213465	9.7647829	11.6801023	-0.9297004	-0.4284843	-1.5956228	-1.8675251	-1.8916612	-2.0454791	-2.0111899	-2.0999832	-1.8226779	33.0733643	-1.3057047	NA	-1.4178652	-1.4652729	2.0080388	5.2548008	-1.6567011	NA	-1.9980201	-1.8248618	3.8711092	NA	2.8936069	-1.2220030	-2.0201764	-1.3093151	2.9121344	-1.9724131	-1.5988116	-2.1231487	1.2779353	-1.7923689	-1.8711510	-1.9126945	8.0789471	3.9528754	2.6795061	4.1697769	5.5168972	-1.8847336	5.679029	0.6796889	0.9890742	0.1022336	2.1285541	2.7959149	-0.9191018	-1.0072194	-1.0551634	-1.7900770	-1.6255283	-2.2152247	NA	NA	-2.1952193	-2.1810691	3.2725689	-1.0428143	-0.3573906	0.6774993	-1.9425222	5.3065271	NA	1.6472795	-0.4096192	0.0429096	1.9640014	2.1873991	1.6782882	-1.9185753	-2.0168915	-2.0731142	-1.9165901	-1.8269801	-1.0274414	0.5580499	5.3734913	2.5001719	1.9489419	1.9456646	-1.8517998	-1.8185177	-0.9190409	NA	-1.1712770	-1.2195939	7.6652603	-1.7407266	-1.8075640	-1.7690135	-1.7628542	-1.6747526	-2.2579987	-2.2436202	-2.3291645	-0.9953994	9.8427477	-2.0716710	-2.0581174	-2.0768757	-1.8411610	-1.8605540	-1.9392614	-1.9321588	-1.9317141	-1.8354325	-1.7442546	-1.3538163	2.8704393	-1.8481832	-2.3492084	2.7047064	-1.8107536	2.1871984	-2.1488583	-2.1671276	-2.2671895	-0.0066326	-1.7720938	1.0076268	-0.4461864	-0.5360518	-1.9948572	-0.1626971	2.8924859	-1.9452269	-1.8561494	-2.0121565	-2.1636548	-2.2180481	-2.0128314	-1.9233830	2.6645634	-2.3076587	NA	-2.2872539	-2.2857139	-2.3083243	-2.2855954	-1.1393352	0.1114428	-1.7146170	-1.2916893	-1.1531351	0.0855210	1.0822895	-2.3125324	-2.3185062	-2.2583699	-2.2387064	-0.7277987	0.3128777	-0.1415961	-1.5319972	-0.8693142	-0.8983755	-1.2426879	-0.4490319	-1.8389764	-1.8411481	5.2621222	-1.8514932	0.9690650	1.1660972	-0.6848980	-0.7425467	-0.6908604	1.1095934	1.1743100	-2.1168633	-2.0911584	-2.1347504	-0.7039980	0.7154222	0.4460137	0.3480506	0.4086607	0.9213386	0.7926953	-1.0707775	-1.0356750	-1.0633937	1.0593398	1.0911648	-0.2507365	0.3441501	0.2419620	-0.2493150	0.9931316	-1.5667048	-1.1091484	-1.3165256	1.4145195	1.3841946	0.9592435	1.0226967	0.9757090	1.1180933	1.0922303	-0.7009573	-0.6687372	-0.6472572	0.4428945	0.8420520	-0.3474448	-0.3637917	-0.3042872	0.9877529	1.1914184	0.1088762	-0.0955000	-0.0250580	1.5006566	1.5137262	-2.3185062	-2.3185062	-2.3185062	-0.4034858	0.3264406	-1.3017095	-1.2825986	-1.3890907	-1.0548074	-0.5702825	-2.2055297	-2.1717300	-2.1718485	-0.7232094	0.8810811	-2.2904022	-2.2830579	-2.2949035	-2.1108623	-0.9602981	-0.4050758	-0.5460780	-0.5497897	0.6846809	0.7509768	-1.1949016	-1.1865702	-1.2268453	-0.3902292	0.8971913	NA	NA	NA	NA	NA	0.6886904	0.5936098	0.6398866	0.8874598	0.8244412	-2.0327110	-1.4900243	-1.4518024	-0.0197866	1.3984094	-1.4932425	-1.5018108	-1.3200202	1.1624644	1.2387502	-2.1978478	-2.1847782	0.6577339	0.3784540	0.8873019	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-2.297193	-2.250837	-2.236583	0.6204996	0.9496891	-0.3001020	-0.2723043	-0.2291470	0.8431177	1.2803392	-1.6776674	-1.8159451	-1.7076762	0.5947552	1.0879669	-1.3519930	-1.3695245	-1.4331748	-0.1187859	0.9954913	-2.2424343	-0.3542767	-0.3719265	-0.4642040	0.4560421	0.5657718	-1.0020945	-2.2478735	-1.0437121	-1.0632179	-0.4685682	0.7567022	-1.3978345	-1.2946987	-1.3179162	0.4034090	-0.1473393	0.5312231	-1.5020769	-1.3627329	-1.4436779	-0.3730717	0.7235556	1.6135066	1.6532485	-2.3310964	NA	-2.324092	8.4153519	7.4460592	5.6906757	4.0790339	3.7105224	7.3092375	5.3750496
IgG_FHA	28.5013504	-4.4393735	-0.4742393	-3.2082448	69.7351456	16.5802326	-4.3339810	-4.6456041	-4.9536543	-4.4278064	-5.4651690	-3.1002040	-3.2228467	-3.2235084	-3.1282911	-3.0212820	4.9079671	-0.0723748	-4.7482147	-2.3981435	-2.4359553	-4.4892092	-3.7054036	-3.6570337	-3.2391217	-3.3056633	-3.6417236	-3.6461735	6.5506797	-3.1372540	-3.0144451	8.6938820	-4.6600027	-5.2054334	11.7618599	-5.4651690	-2.1385026	-5.0298181	-5.2790685	-3.1108427	-3.2189221	-3.3242273	-3.4534688	-3.6577697	-2.4359553	61.6744843	-5.0252934	NA	-5.0464134	-5.0559435	-3.4434445	-4.4531488	-5.2789707	NA	-5.3920879	-5.3406010	-4.2069535	NA	-4.7991381	-4.5734348	-5.1680479	-4.5954924	-3.1656382	-3.4363146	-3.3450203	-4.7682590	-4.9438548	-3.7936928	-3.2825572	-3.3120685	-5.4651690	-0.5673032	-1.4293098	0.5425949	6.5867162	-2.9775219	6.014603	-5.2230616	-5.1813025	-5.2645817	-3.0448258	0.6070790	-4.8043413	-4.8827391	-4.8535628	-3.2691917	-2.2076125	-4.9590259	NA	NA	-4.8754349	-4.8509178	-4.5013299	-3.1643026	-2.0907874	1.7149725	-3.2356434	-5.4651690	NA	-2.5402353	-4.1271091	-3.9505186	-3.1315088	-2.1385026	-4.7297807	-4.7854571	-4.9076118	-4.9608388	-3.2122412	-2.5934629	-1.1106462	-4.8436408	-2.6184599	-4.7234125	-4.7828865	-4.7442851	-3.3875992	-2.9321837	-4.5257769	NA	-4.7083311	-4.7457600	-1.2175841	-5.1066594	-5.1445079	-5.1104188	-3.1568756	-2.6627343	-5.2832317	-5.2700100	-5.4062910	-1.3555808	-5.4651690	-3.4772196	-3.4381411	-3.4847019	-3.0712953	-3.0579109	-3.5893528	-3.5561543	-3.5719528	-3.0343688	-2.5550978	-5.1529837	-5.4651690	-5.3414674	-5.4651690	-3.4212770	-3.0091321	4.9818482	-5.0207386	-5.0369592	-5.2436018	-4.1538587	-2.8701859	-0.8826709	-5.4651690	53.5490570	-3.2018528	4.7879567	-5.4651690	-3.0685809	-2.5207622	-2.8064892	-2.5492687	-3.3188286	-3.3963816	-2.5332983	-5.4651690	-5.1703162	NA	5.0927672	5.1220489	-5.1664009	5.1243014	8.8475971	14.1149445	0.5165739	5.7602715	5.8458638	18.4606953	30.2060814	-5.1648965	-2.6650076	-1.7088437	-1.8293498	15.4063759	28.2092857	4.5352063	-0.1017227	2.2836189	2.4852128	3.1744618	19.6826477	3.3899169	3.8719401	-5.4651690	5.0646110	8.0355892	15.5114613	6.8733268	3.2626538	5.0522227	9.9287720	14.1003036	-2.5224900	-4.9483757	-1.4593349	0.7818503	5.0209556	-4.3809013	-4.2840462	1.0092049	3.6828599	6.1346488	-3.4065754	-2.6373646	-4.0721736	2.9869962	6.3893180	3.6587377	10.1739407	6.9698358	5.2804999	18.9652424	18.6138611	31.9843864	26.9130020	34.1084442	45.9968605	-5.3292561	-5.2988482	-4.7605133	-5.1884785	-4.4541807	-4.8032355	0.0293903	1.2592263	-0.2735639	1.4788399	-5.0082083	-4.3076968	-3.3774362	2.0701075	2.4372563	1.7580190	-0.1543088	-1.4539709	4.4496932	23.3601131	16.6883640	12.2713165	8.4038639	12.9797096	15.5125866	-5.5019841	-5.4152651	-5.4907222	-5.4749546	-5.4907222	-5.4772072	-5.4670711	-5.4817123	-5.3938665	-5.3916144	-5.3957033	-5.4565196	-5.3911986	-5.3101106	-5.2785764	-5.4467993	-5.3600802	-5.4490519	-5.4107599	-5.3206620	-5.4929743	-5.4490519	-5.4265270	-5.4636927	-5.4006243	NA	NA	NA	NA	NA	-4.5496058	-5.3549423	-1.8861735	0.3122149	1.1422420	-1.5860853	4.1114802	4.4403377	15.7847862	53.8218651	3.4417233	3.2266145	5.0488439	14.4764614	17.3742352	-4.9528804	-5.4415751	-1.9706404	-3.2928269	-1.2025557	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-5.517751	-5.517751	-5.517751	-5.5177512	-5.3336868	-4.8695397	-5.4517975	-5.4709435	2.3596892	4.9702754	-4.3718920	-5.5048728	-5.1726365	-5.2266955	3.7234035	-5.5177512	-5.5177512	-5.5177512	-5.4767914	-5.4339952	-5.1736593	-5.4587722	-5.4914327	-5.4396262	-5.4430051	-5.4035869	-5.4907222	-5.2142048	-5.4659452	-5.4918480	-5.4186435	-5.4434204	-5.2571034	-4.7390404	-0.1102614	-0.4154682	-4.9049006	2.9496884	-5.4013348	-5.4812965	-5.3754315	-5.4080920	-5.1986141	0.2847433	0.4416709	-5.4449129	NA	-5.442841	-3.0708077	-3.3126380	-0.9947052	-2.5128818	-2.6934571	13.9584370	30.4396896
IgG1_PT	-3.5066409	-7.4571095	-7.8904848	-7.1483612	-6.0126591	5.7021694	-10.7925692	-10.7775707	-10.7211390	-10.5999250	-7.3222561	9.2770576	6.7589798	4.2808075	-3.6983614	11.4452801	-7.7376938	-8.1826305	-8.4489117	-3.8835783	8.8502789	-5.2721095	-2.3229294	-5.1839585	-4.2980981	6.3062267	-10.0283051	-10.0334911	-10.0121365	-1.0239029	0.3228655	-10.6933565	-10.6762953	-10.6687126	-8.4573793	-8.2896099	-10.7454882	-10.7458038	-10.7230558	2.0473204	3.7193260	-10.7514915	-10.7300062	-10.7628651	-4.6343865	2.3768559	-10.7682362	NA	-10.7796106	-10.7805586	-9.3207006	-9.4172564	-10.1600332	NA	-10.3385448	-10.4244833	-10.2089787	NA	-9.0036831	-9.9584570	-10.0045862	-10.1006346	-5.2514310	2.2511072	-10.6134214	-10.6238470	-9.7800226	-10.6503868	-8.0578556	-3.2626905	-0.2949238	-10.4901714	-10.4313126	-10.3463678	-9.4835443	-6.0486379	6.276867	-10.8132286	-10.8205862	-10.8138971	-9.2475529	-8.4151821	-9.1915894	-8.6180458	-9.0187674	4.4084215	10.3062000	-10.0487270	NA	NA	-9.6300240	-10.6101809	-6.9527502	-7.8953476	-7.8789606	-8.3436661	-5.4154706	-1.5575628	NA	-9.6975784	-10.1530685	-10.0478077	-8.8803701	-7.0921307	-6.4341741	-10.1699810	-10.1223040	-10.2840433	-2.3727160	0.4336367	-2.5568781	-6.3538980	3.5854206	-9.5663786	-9.8731070	-8.7361841	2.4232798	8.7108936	-10.6766844	NA	-10.7722845	-10.5179338	-10.1009350	-9.5156794	-10.1857119	-9.3978043	11.6574516	13.0953999	-10.8123045	-10.8367157	-10.8294153	-10.7856874	-10.7704773	4.6869860	-2.5743523	8.7409973	10.0091038	7.8483791	1.5144215	1.9327641	2.3285322	12.2461681	10.9708519	-10.8361177	-3.3850412	-10.8366890	-10.8361177	-10.8133974	-10.7292566	-4.9428020	-10.7392473	-10.8058271	-10.7692509	-10.4326200	-7.0894308	-4.6261015	-9.6759596	-9.9842873	-9.2759047	-4.2836580	2.8355007	-7.6358500	-8.3561602	-2.2503767	-1.2416687	-1.0570717	2.9279289	6.0223255	2.1160650	-10.7572222	NA	-7.6463575	-5.2406721	-10.7734804	0.8697681	-6.4916286	-8.9935417	-9.8633804	-10.7262640	-10.7262640	26.2218971	80.8309555	-10.8005781	-7.2652407	-10.2482901	-9.6709251	98.2481155	126.0578308	-9.9768171	-2.3576422	-9.0935612	-7.9388323	1.5876818	7.5056667	-8.4161768	-3.3161240	8.5455952	75.0129852	8.4236202	-9.0897684	-7.9831533	38.9758224	70.1535034	-0.0925055	-8.3199492	-8.3507433	-7.7733784	-8.5431976	0.9833155	141.6196747	-2.2875023	-0.5072956	-0.9884329	42.6025848	111.2608414	-10.7262640	-10.4139814	-10.7262640	15.8504505	49.8668404	-10.7262640	-10.7262640	-10.7262640	-10.7262640	-9.9596081	-10.6331997	-10.7262640	-10.7262640	-6.1105113	-3.8972812	0.1189594	1.3218021	24.9456329	82.1047134	90.1397018	4.4003019	5.7955990	3.8229380	44.6233597	80.7086411	-10.7262640	-10.7262640	-10.6111736	0.1662960	8.5380802	-10.7256346	-9.8595877	-6.9246521	-10.2444973	-10.7256346	5.7773666	6.8358669	10.9255333	1.1103373	4.2858410	-8.6382389	-9.1193762	-9.0231485	19.8450737	69.7871017	-10.2741051	-9.1193762	-10.3703327	14.2638855	55.5935593	7.6246986	7.3360157	10.9445438	37.1184006	69.4989243	-10.7262640	-10.7262640	-10.7262640	-6.8580322	3.4864149	-9.6967411	-9.7929678	-9.4080582	-6.5693498	2.4760265	NA	NA	NA	NA	NA	-10.3715191	-10.6602011	-10.5639734	-0.0751858	7.3343258	-10.7262640	-10.7262640	-10.7262640	-8.5161972	8.9971924	-10.1482706	-7.7425852	0.9178820	-9.6190195	-8.9935417	-10.7262640	-10.7262640	-1.1336870	3.2927732	12.1456947	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-10.726264	-10.726264	-10.726264	-10.7262640	-8.0318966	-10.6064367	-9.8903818	-10.4139814	-4.4535327	2.1380444	-9.8413544	-10.4187193	-10.4375820	-5.6073484	3.9672794	-10.7262640	-10.7262640	-8.2480202	-0.7470875	2.5246449	-10.8367157	-6.6169591	-7.0499821	5.7963772	20.5191708	14.2643890	7.1962280	-10.8367157	4.2131777	5.5603619	30.2857475	65.8898926	4.2078476	7.0465565	6.9984417	18.3532772	-10.8367157	52.9470291	-10.7262640	-10.7262640	-10.6537046	-4.7886381	-0.4584045	-10.7775450	-10.3413839	-10.8367157	NA	-10.836716	-10.8367157	-10.8131914	-9.1927986	-8.8109779	-8.1307621	17.2643509	15.6099014
IgG1_PRN	0.4191209	-0.3132463	-0.5101992	-0.5650823	0.5996479	1.2729157	-1.6734698	-1.6552123	-1.6341633	-1.5006671	-0.5060987	-0.2539433	-0.4427035	-0.6293918	-0.8128716	0.6822809	-0.2817771	-0.3759402	-0.5959189	0.0843946	1.1201707	-0.2812074	0.0897287	-0.4234152	-0.2317799	0.7352196	-0.8663647	-0.7542293	-0.7029681	0.0755354	0.0706253	0.9009024	1.2874588	0.9850072	1.3853730	1.0791231	-0.3160125	-0.3377712	-0.2433568	0.7013298	0.7177166	-1.5098662	-1.4749221	-1.5202302	0.5558015	0.5689598	-0.3077105	NA	-0.4028032	-0.4097486	0.2064884	1.4059283	-1.2421961	NA	-1.3261652	-1.3557918	0.1485608	NA	1.4938315	-0.5616798	-0.5873724	-0.8019889	-0.5978456	-0.0225139	-1.2993330	-1.3315642	1.3693994	-1.3567413	0.2777203	0.6748096	1.5539435	0.7261308	0.8683156	0.8912905	0.9987434	1.2175871	1.789862	0.2583011	0.0769089	0.2269691	0.7732934	0.7152773	-1.5809485	-1.5373213	-1.5735377	1.1207200	1.0968672	-1.6873815	NA	NA	-1.6778913	-1.7221116	0.8354925	0.4666914	0.4365491	0.1842170	0.6347462	1.0265905	NA	0.5544554	0.3729497	0.2616831	0.3025895	0.5013262	0.8841199	-1.4239557	-1.3855850	-1.4267981	0.4768602	0.7649337	0.4968253	0.8956629	1.1896185	0.6312693	0.4488255	0.8694824	1.1770631	1.5081326	-0.5325700	NA	-0.8837079	-0.2392750	0.9737126	-0.9755620	-1.2507265	-0.9604522	1.1357721	1.1548380	-1.7236896	-1.7306155	-1.7349533	-0.4177080	0.3249525	-1.5076194	-1.5716473	-1.3786641	0.9673940	0.8581089	0.0570920	0.0914941	0.0938525	1.1113030	1.1220182	-1.2513661	1.0044023	-1.3043792	-1.2313964	0.7496454	1.1032802	0.8219329	-1.6302247	-1.6949530	-1.6606278	-0.2875603	0.8900472	0.8888539	-0.5564544	-0.7145963	-0.3680890	0.2940751	1.1950248	0.7101952	0.9716064	-1.7159736	-1.6995928	-1.6907232	-0.8286194	-0.0339813	1.2220563	-1.7301831	NA	-1.6881739	-1.2081195	-1.7315859	0.0920792	-1.3531950	-1.7454405	-0.7720311	-1.1272073	-1.2092896	0.6958417	2.5615635	-1.7373428	-1.7065239	-1.7460563	-1.7375587	0.2754554	0.9928893	-1.5166204	-0.2023206	-0.9226485	-0.6776952	0.0406623	0.5826632	-1.4975314	-0.6038027	1.1835693	0.8914720	-0.3503517	-1.5727786	-0.4782472	0.3587691	1.0496632	0.0191720	-0.5510312	-1.7183818	-1.7081599	-1.7208447	-0.3601160	1.1430405	1.3128330	1.3045815	1.1650480	1.7636999	2.0468311	-0.4911518	-0.2744623	-0.3434286	1.7787000	1.8351046	0.8362373	0.1224366	0.3834001	1.0603777	1.5982529	-0.6453056	-1.3197587	-1.1350892	2.8921704	3.1479001	1.6577872	1.7016300	1.7223200	1.8428260	2.1299596	0.1402835	0.4255081	0.2589422	1.0527316	1.6448561	0.5556821	0.4521095	0.5470611	1.6335260	2.1670909	0.2368467	0.7941803	1.5027469	0.6773070	0.1361682	-1.7483963	-1.1129830	-0.0946840	-1.3933432	-1.7506130	0.4864691	0.4643015	0.3809878	1.1192962	1.9820517	-1.6785170	-1.5918782	-1.6295633	-0.0285610	2.1129646	-1.7336284	-1.7485917	-1.6970518	-1.2434754	-0.7514751	0.1857271	0.0846176	0.0752579	1.1338900	1.8555726	-0.2791793	-0.3954368	-0.3358302	0.5299426	1.7860521	NA	NA	NA	NA	NA	1.3426117	1.2596058	1.2194575	1.8051165	1.7850424	-1.4339840	-1.3550422	-1.3337982	0.7082187	2.9490061	-1.2337971	-0.0361242	1.1660439	-0.5940120	-1.1183403	-1.6786029	-1.1565530	1.6059150	1.4713691	1.6145357	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.751511	-1.712015	-1.734762	-0.5234191	-0.0692271	0.2770830	0.5555342	0.2621814	1.5634269	1.9352905	-1.1022792	-1.2450762	-1.2786973	0.8880132	1.6249667	-1.0812815	-1.1206908	-0.4248706	0.7287747	0.8904144	-1.7018075	-0.0050385	-0.0115657	0.5506324	1.0523618	1.0004526	-0.7855218	-1.7166529	-0.8590448	-0.8510398	0.4677497	2.0090222	-0.8150223	-0.7035680	-0.6467323	0.8810550	-1.7195752	1.8316194	-0.7556623	-0.5639116	-0.3743775	0.8144900	1.0080265	-0.6830008	0.2921537	-1.7229942	NA	-1.741931	0.5022317	0.8844775	0.9798614	1.1028620	1.2546731	1.6794785	1.5860208
IgG1_FHA	1.1320193	-0.5164459	0.3888669	0.3525209	0.2870054	1.4319434	-0.6444224	-0.5232865	-0.6657674	-0.6965227	0.8129895	0.5756776	0.4470835	0.3219774	-0.3281556	0.9463687	0.4295545	0.3262327	0.1370146	0.2292137	1.3078310	-0.9709668	-0.6360278	-0.9783414	-0.5469022	0.2661860	-1.6372950	-1.6081228	-1.6153095	0.3016939	0.3629827	-0.9721532	-0.9019435	-0.8851584	1.1128938	1.0102408	-1.2475970	-1.2511219	-1.1833100	0.7135038	0.9209440	-0.0840288	-0.0451833	-0.1516968	0.9758313	0.9431243	-1.0531055	NA	-1.0936775	-1.0874430	-0.1203701	-0.5937181	-1.5860089	NA	-1.6162701	-1.6486893	-0.9287415	NA	-0.4774292	-0.7967248	-0.8184016	-1.0119340	-0.1563076	0.7090919	-0.4122977	-0.3934745	-0.7507081	-0.4402570	-0.0711300	0.6691432	0.8351567	0.2146819	0.3335927	0.3428280	0.4583442	0.8855648	1.151718	-1.4802227	-1.5306425	-1.4725848	0.1688929	0.2832458	-1.2815886	-1.1725620	-1.3110709	0.2741015	0.9486029	-0.9937463	NA	NA	-0.7641615	-1.3729539	-0.6114120	0.3209627	0.2770326	0.1460321	0.5095789	0.8828628	NA	0.1753943	-0.1025636	-0.1475238	-0.1693711	0.1128656	-0.5286565	-1.3334620	-1.3330419	-1.3681607	0.2408855	0.9622946	1.2143238	-0.4624921	0.1267970	-0.9652111	-1.0747416	-0.7026120	-0.0117240	1.2357683	-0.8385099	NA	-1.1948617	-0.6041863	0.1263263	-1.3766229	-1.5757679	-1.3922281	0.7169297	1.0105927	-1.6781129	-1.7281032	-1.7432245	0.1036768	0.2009773	-0.5434284	-0.9358679	-0.1969082	0.5879784	0.5008531	-0.2659184	-0.2603123	-0.2305502	1.0200546	1.1339076	-1.5027130	0.9836004	-1.5566541	-1.5286922	0.0058587	0.9971752	0.8039041	-1.4259148	-1.5787821	-1.5005252	-0.7934517	0.6511698	0.9371850	0.2378511	0.0248669	0.3285050	1.0183868	1.2177823	0.8907859	0.9457748	-0.4153675	-0.3827795	-0.3251693	-0.0870363	0.7827034	1.2235465	-1.2270415	NA	-0.7992811	-0.5734130	-1.2393721	1.4206722	-0.2436056	-0.8000306	-1.1974125	-1.2921071	-1.2433856	-0.8958386	-0.6047586	-1.3714502	-1.3283360	-1.3078480	-1.1689291	-0.6447353	-0.7236892	-0.3276070	-0.9912829	-1.3100966	-1.1586851	-1.0355070	-0.7301854	-1.0171537	-0.7895368	1.6386027	0.4914651	-0.3860224	-1.1390827	-0.8892285	-0.6581135	0.4767237	0.8227715	-0.8195193	1.3219326	1.5540471	1.1735194	2.4465256	5.6299162	-0.4672995	-0.4213263	-0.2676661	0.3477244	0.8664215	0.0489262	0.7567627	0.1731036	3.5896082	6.4359455	-1.3793062	-1.3980453	-1.4202824	-1.1411953	-0.9280698	-1.2653728	-1.3658141	-1.2821131	-0.6534802	-0.4860779	-0.4765806	-0.6709671	-0.2769473	0.3911624	0.9061117	-0.3838482	-0.4030870	-0.4148301	-0.2574221	0.1923153	-1.1903771	-1.1816323	-1.2628348	-0.5432551	-0.1344938	-1.1438298	-0.4115076	1.4808872	-0.8007802	-1.1900527	0.0227388	0.9307084	2.2346969	-0.2950755	-0.3180622	0.3408713	0.3718534	0.2801569	3.3785973	6.7153978	0.0293034	0.3348749	0.0870197	3.9097867	9.6856632	-1.0997167	-1.0597401	-1.1721745	-0.6884569	-0.7304324	0.4078324	0.3503659	0.2769089	1.9646730	5.3841758	0.3428702	0.1279957	0.1482339	0.9680052	3.7054062	NA	NA	NA	NA	NA	0.7132881	0.5278964	0.3230162	3.6215892	5.0012836	-1.5352123	-1.5352123	-1.5352123	-1.0689875	2.7138028	-0.8812332	0.0072478	0.0602169	-0.6253827	-0.3205607	-0.9067656	-0.6401713	1.3691549	2.0350161	1.6537387	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.535212	-1.535212	-1.535212	-1.5352123	-1.2819535	0.4634340	0.9134212	0.5273967	3.7037916	6.6862993	-1.5339265	-1.4542230	-1.5352123	-0.9892446	-0.4638015	-1.5022316	-1.5352123	-0.1217879	2.2558231	2.4152303	-1.4610729	0.3329465	0.1555500	-0.3791376	0.9980581	1.0485284	1.1329575	-1.5660838	0.9395704	0.9555612	3.8892989	7.3013058	-0.9984892	-1.0189772	-1.0279720	-0.7084086	-1.5574123	0.2170508	-0.7299327	-0.8403682	-0.5415428	0.8823755	0.8728812	-0.4830933	0.5531604	-1.8335984	NA	-1.853899	-1.5786650	0.0592586	-0.1324213	0.0196874	0.3383462	1.2865791	2.0106869
IgG1_TT	0.1830364	-0.2745491	0.0772071	0.1119608	0.4616873	0.5825279	-1.2261436	-1.2195365	-1.2059040	-0.3921359	0.3561331	0.0224943	-0.0943755	-0.1719153	-0.2572217	0.2841314	0.2363583	0.1883799	0.0871778	0.2786487	0.6355693	-0.1295767	0.0998058	-0.1787388	0.2501663	0.5484468	-0.6514896	-0.5515752	-0.5402573	-0.0779147	-0.1094506	0.0993885	0.1667061	0.1607404	0.7961513	0.5763932	-0.6468865	-0.6626847	-0.5884070	0.3924115	0.4196994	-0.7654840	-0.7132097	-0.7815584	0.4588453	0.3856355	-0.2521874	NA	-0.3007791	-0.2882583	0.2071109	0.1315750	-0.3923649	NA	-0.4509363	-0.4682076	0.2942628	NA	0.1974245	-0.1769339	-0.1520028	-0.2737121	0.3724084	0.5129423	-0.1293550	-0.1469761	0.0796233	-0.1800089	0.1563916	0.4005132	0.4783409	-0.2135510	-0.1784521	-0.1510310	0.3905442	0.5746813	0.575550	0.0672594	-0.0129046	0.0551374	0.4777906	0.5547510	0.0843362	0.1753362	0.0244575	0.4625006	0.5101473	-0.3965724	NA	NA	-0.2665777	-0.6198292	0.4294441	-0.1594843	-0.1427858	-0.2365503	0.0794562	0.3493091	NA	-0.1983844	-0.3169379	-0.3105056	-0.1891115	-0.0656384	0.4612939	-0.6307456	-0.6284588	-0.7151527	-0.3354346	-0.2069153	0.2392876	0.4721934	0.5716465	0.0907135	-0.0358207	0.2594008	0.5884501	0.7288349	-0.0802478	NA	-0.2668315	0.0485229	0.3732498	0.0032878	-0.2103494	-0.0164826	0.5323713	0.5384415	-0.2444434	-0.3637441	-0.3570708	0.4853884	0.4897672	-0.7340425	-0.7928054	-0.5750149	-0.0194331	-0.0589739	-0.4937508	-0.4615425	-0.4615425	0.4594822	0.4492301	-0.2699044	0.2916164	-0.3288496	-0.2843884	0.3657429	0.4733334	0.2236172	-0.4034650	-0.5238874	-0.4874119	0.0654273	0.2669593	0.2663478	-0.7933282	-0.8758231	-0.7179337	0.1372510	0.5149428	0.4486279	0.4645264	-0.8893155	-0.8415609	-0.8356292	-0.1800256	0.1951116	0.5262760	-0.3708951	NA	-0.3417176	0.0848200	-0.3906386	0.3762318	-0.1347073	-0.3556653	-0.7834908	-0.9633209	-0.9917825	0.4003954	1.0636269	-0.4852266	0.1887360	-0.1068184	-0.0191684	1.1242458	1.1838514	0.5528835	0.3436806	0.0721176	0.1787221	0.6908535	1.0143329	-0.0641940	0.0609182	0.6161495	0.4302046	0.0861909	-0.1486551	-0.1585793	0.0956384	0.3949479	-0.0295333	-0.2214633	-0.5198339	-0.4779014	-0.5240063	0.1226845	0.6390179	-0.0065255	0.0566862	0.0177637	0.5854772	0.9143511	-0.4469363	-0.2896073	-0.4610330	0.7810878	0.8130664	0.1070465	-0.1664835	-0.0533521	0.2672961	0.5087583	-0.0582100	-0.3850275	-0.2722835	0.7466741	0.8517288	-0.2397979	-0.2538053	0.1595297	0.6750286	0.7719771	-0.0547465	0.0874724	-0.0025022	0.5843446	0.6982808	0.4374169	0.3842189	0.4593220	0.8058389	0.9155432	-0.8304834	-0.3476781	0.3187124	-0.4909700	-0.8855590	-1.0366591	-0.3278295	0.3925041	-0.4778270	-1.0147839	0.0168935	0.0070288	0.0107243	0.6445403	1.0833269	0.1965746	0.2602929	0.2095984	1.2086774	1.3067883	0.0281291	0.0724757	0.2521269	0.5357304	0.6191484	0.3831997	0.3338760	0.3705037	0.6814660	0.9034373	-0.3837455	-0.4086010	-0.3808844	0.3952399	0.8099161	NA	NA	NA	NA	NA	0.1146079	0.1410431	0.1058757	0.6991004	0.7989994	-0.8763564	-0.7567279	-0.7566981	0.6121740	1.3143576	-0.5698878	-0.0708996	0.4981252	-0.2761812	-0.5081960	-0.6186600	-0.4729244	0.6025393	0.5835252	0.6871196	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.075298	-1.075298	-1.075298	-0.2955977	-0.2171568	-1.0752984	-0.6979056	-0.8987467	0.0573866	0.4499490	-0.7245941	-0.8267878	-0.8302152	0.5237257	0.6986980	-1.0752984	-1.0752984	-0.5855104	0.1367902	0.1170607	-0.6965032	-0.2969598	-0.3115333	0.1831037	0.5318857	0.5494695	-0.2458152	-0.7400256	-0.2931420	-0.2830687	0.8348609	1.0771278	0.2395860	0.2676005	0.2867936	0.4234692	-0.7846230	0.8109950	-1.0385724	-1.0315688	-0.6998041	-0.0039685	0.2942681	-0.1361036	0.1883799	0.0791707	NA	-0.101444	0.4639151	0.5739903	-0.9162320	-0.8783553	-0.7867851	0.6485059	0.5550429
IgG1_DT	0.9861549	-0.0976330	0.5879902	0.6458238	0.0390191	0.8239778	-1.3874785	-1.3832206	-1.3734866	-1.3733006	-0.6083205	0.7639183	0.6395851	0.6000785	-0.0142337	0.8548626	0.3570313	0.2352824	0.1991595	-0.0465351	0.6241580	-0.6567795	-0.3973043	-0.6609291	-0.5734336	0.0940585	-0.5525129	-0.4416829	-0.4235941	0.3241813	0.3457265	0.6061019	0.7467414	0.6695877	1.1565109	0.9478594	-0.6947328	-0.6918741	-0.6546819	0.4230887	0.5056322	-1.1042047	-1.0598955	-1.1255848	-0.0772048	-0.0115750	-0.3990710	NA	-0.4684229	-0.4353698	0.3816917	0.1209426	-0.6425922	NA	-0.7257015	-0.7713208	-0.1972936	NA	0.2556759	-0.7282326	-0.7148624	-0.7569084	0.2617408	0.9134365	-1.1165028	-1.1262400	0.0125874	-1.1500621	-0.5077012	0.2623194	0.8521560	0.2723147	0.3349663	0.3828690	0.7637268	0.8467685	1.123475	-0.5969926	-0.6981240	-0.6135695	0.7600402	0.8117710	0.3466583	0.5419878	0.2328697	1.0214509	1.0611142	-0.4069262	NA	NA	-0.2333735	-0.8757886	0.6199254	-0.0226018	-0.0273291	-0.1761377	0.0471104	0.1397297	NA	-0.6294530	-0.7547563	-0.7698017	0.0232818	0.2690415	0.6247476	0.1351968	0.1538186	0.0913373	0.1658862	0.3121965	1.0304166	0.7067245	0.8236061	0.7715491	0.5988575	0.8062919	0.9008125	0.9786831	-0.1420698	NA	-0.5842190	0.0890173	0.5613499	0.4067508	-0.2484695	0.2880965	0.5211372	0.4516518	-1.1106582	-1.1951413	-1.1864849	-0.2225852	-0.0750790	-0.9590645	-1.0971802	-0.7451684	-0.1876321	-0.3544031	0.3528367	0.3474240	0.3633341	0.6753834	0.5824111	0.6190971	0.8472379	0.4376627	0.4824951	0.8438364	0.9465111	0.7464834	-0.0572698	-0.2562544	-0.1728772	0.6245815	0.7518300	0.8214027	-0.6435894	-0.7544128	-0.5415138	0.9565512	1.3258785	0.7441217	0.7240185	-1.3052218	-1.2674696	-1.2616196	-0.1263621	0.6481379	1.3111244	-1.0336319	NA	-0.5474406	-0.0816042	-1.0663652	0.3022851	-0.4428596	-0.7050280	-0.4713704	-0.6385917	-0.6720205	0.3947603	0.8361052	-1.1377398	0.1479907	-0.1080644	-0.0258080	0.5031717	0.4957043	1.0112556	0.6560386	0.3130454	0.4529898	0.7288934	0.9214183	-0.1415362	-0.0638839	1.2246767	0.4344139	-0.1687745	-0.2379148	-0.4726902	0.0041730	0.5222032	-0.1392535	-0.5313840	-1.0885799	-1.0885799	-1.0885799	-0.1995016	0.4819195	-0.6915540	-0.6708931	-0.6691908	0.3421074	0.8772775	-0.8621576	-0.7325050	-0.7901929	0.6773463	0.8830649	0.1558449	-0.1204069	-0.0164062	0.8537871	0.9995350	0.4834393	0.1279103	0.2726136	0.5771483	0.6358808	-0.2163749	-0.1793865	0.1216273	0.6060740	0.6437200	0.2206572	0.2519580	0.2689046	0.9030069	1.0042607	-0.1149074	-0.2003366	-0.0775322	0.9602691	1.1314369	-0.4418150	-0.0018628	0.4317830	-0.2102122	-0.5118839	-1.0885799	-0.9645654	-0.6203727	-1.0885799	-1.0885799	-0.0627958	-0.0655041	-0.0715399	0.5643423	1.1923314	-0.1049687	-0.0012388	-0.0705726	1.0534316	1.2544688	-1.0885799	-1.0742257	-0.8036613	-0.1364011	0.2777832	0.5968425	0.5044104	0.5450742	0.8421804	1.1127833	0.8581210	0.8583144	0.8362607	0.8468233	0.9721037	NA	NA	NA	NA	NA	-0.4477413	-0.4184524	-0.4388811	0.3623651	0.3636032	-1.0131953	-0.9559331	-0.9868857	0.1432705	1.2060274	0.3097525	0.3227525	0.2195643	0.2421210	0.3032911	0.1506108	0.1328517	0.7657546	0.8446451	0.9322795	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-1.088580	-1.088580	-1.088580	-0.9996094	-0.5164008	-0.8894346	-0.7045316	-0.7856661	0.2820045	0.4236126	-0.4029986	-0.5015051	-0.5148535	0.4412330	0.5160609	-0.6900654	-0.6892529	-0.4672068	-0.1921544	-0.3206850	-0.5304656	-0.1403476	-0.1635233	0.1058803	0.2877266	0.1902261	-1.0885799	-0.6213843	-1.0885799	-1.0885799	-0.7313715	0.1221073	-0.6951909	-0.6438097	-0.6431906	-0.1790954	-0.6446968	0.4940072	0.1155529	0.0590258	0.2979023	0.6053776	0.6694106	-0.2378461	-0.0692661	-0.5627518	NA	-0.778504	1.1087531	1.1374460	-1.3748513	-1.3683323	-1.3492447	0.9609011	0.9411970
IgG1_OVA	-3.3957615	-3.6863174	32.2433281	42.9273224	19.1512833	51.5727081	-0.6883855	-0.0129023	1.6066976	-3.1823995	2.1353989	-3.9595466	-3.9716067	-3.7398887	-3.9716067	-3.9260511	-3.9716067	-3.9716067	-3.8888187	-3.9716067	-3.8590326	-3.2461147	-2.4665375	-2.9207737	-3.7987249	-2.7420578	13.1711102	14.6380711	15.5837765	11.0786438	9.6118584	-3.9172380	-3.8383052	-3.8856649	-3.6330798	-3.7435858	-3.8383052	-3.8225186	-3.8304119	-3.6962261	-3.5699334	-2.0070622	-1.0440810	-2.4332998	-0.4284043	-0.4520843	-2.5201259	NA	-2.8753240	-2.7884979	-3.4310923	29.7109470	-3.0884428	NA	-3.4278541	-3.5383601	-3.4310923	NA	35.5219116	-2.1807146	-2.1649280	-2.4885528	-3.0904913	-1.2966661	-3.8225186	-3.8540919	20.6223888	-3.9014516	-3.9716067	-3.4831071	14.5859013	-3.9017472	-3.8228145	-3.7754545	-3.8386009	-3.8070278	21.351578	-3.5702291	-3.7280948	-3.6491621	-3.5904958	-3.7021933	-3.8543875	-3.8228145	-3.9330347	-3.7841048	-3.8436768	7.1014972	NA	NA	13.6134605	1.2129731	1.7160830	-2.0389311	-2.0547175	-2.2650189	-1.9820518	0.7582598	NA	-3.0334854	-3.3965769	-3.3373148	-3.5607097	-3.5160308	2.0468493	-3.9716067	-3.9716067	-3.9716067	-3.9716067	-3.9716067	-3.2754827	2.4227200	0.6035051	-3.9716067	-3.9716067	-3.9716067	-3.8667254	-3.9131565	18.9928570	NA	11.0471458	31.1732845	8.3059635	-3.7893403	-3.9716067	-3.8048172	-3.5107536	-3.6190929	-3.7738633	-3.9501030	-3.8589869	-3.7893403	-3.7429092	8.3601341	5.0244584	17.5380173	11.5870953	7.5088973	1.2674346	1.1381478	1.6348805	1.4171348	-0.7194967	20.3542233	0.0697684	17.9658222	21.6743069	18.6207676	23.6803665	-1.3134365	-1.0529201	-2.3389821	-1.8898811	-1.1913872	-1.5307987	-1.3284714	1.9751086	-0.6310375	2.4037962	-3.5836968	-1.2608147	3.4104004	0.2925510	-1.7946172	-1.0461156	-0.2295685	-1.0493081	-3.0542035	-1.0954316	6.3919168	NA	-3.5483356	-3.8551643	5.1966472	-3.8458097	-3.8682606	-3.8832278	-4.0244813	-4.0244813	-4.0244813	-4.0244813	-4.0104494	1.9791923	-3.5801408	-3.9627414	-3.8916471	-3.7793925	-3.8355198	-0.5692122	-3.1638641	-3.8598416	-3.6503000	-3.2546029	-3.1227040	0.4217300	-0.6184945	-3.6212840	-0.3191493	-0.4314039	-0.7681670	-2.9505806	-3.2097013	-3.2284102	-2.9879987	-3.3032465	-4.0244813	-4.0244813	-4.0244813	-4.0244813	-4.0179334	-4.0244813	-3.4147623	-3.8431017	-4.0162592	-3.9236491	3.2580256	3.5330491	3.6340780	3.8585868	3.0943213	15.2037697	7.5714030	10.5985298	12.2393169	11.4928246	-4.0123205	-4.0244813	-4.0244813	-4.0207396	-4.0076432	4.4832730	5.0931888	5.0707383	5.8948731	5.8172307	-2.0845470	-1.2912824	-2.2753797	-1.8609736	-1.9956789	-2.1986723	-2.5101786	-2.1640606	-2.3455386	-1.9180365	5.4095693	4.0868373	2.8885212	2.4058275	4.4366975	-3.8504870	-3.8439388	-3.8299069	-3.8271008	-3.8888407	-0.2931435	-0.3586252	-0.7234521	-1.5681670	-1.4718151	-4.0237327	-3.9956691	-4.0237327	-3.9797666	-3.9152203	-3.9273908	-3.9404871	-3.9199073	-3.8993273	-3.8721991	-4.0244813	-4.0244813	-4.0244813	-4.0244813	-3.9956691	-3.9657347	-3.9994111	-3.9900565	-3.9788311	-3.9535737	NA	NA	NA	NA	NA	-0.5062401	-0.6306553	-0.9328070	-1.4379520	-0.9805150	-3.0609641	-2.6343973	-2.3331811	-1.2237329	-0.0450616	-0.9758377	-0.8336489	-1.4304683	-1.6718154	-0.5221429	-3.5838828	-3.2330875	-2.4463711	-2.9421616	-3.3041821	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-3.606432	-1.703817	-2.759846	-3.1396406	-2.5381439	-0.1507676	0.4890828	-0.6727507	0.8062015	0.3955374	1.6123657	0.9229364	0.6778479	-0.2585416	0.7452002	-2.4082141	-2.5494676	-2.5943694	-2.7908146	-2.9339390	-3.5912142	-3.8450711	-3.7786539	-3.7908146	-3.8272974	-3.8216846	-3.2088592	-3.6814232	-3.4361744	-3.4343035	-3.1107299	-2.4690089	3.2447324	3.8602610	4.2484746	4.2400556	-3.6964581	4.6254621	5.6348166	4.4365010	4.1801867	4.8106818	4.0978665	-3.7415626	-3.4282675	-3.9716067	NA	-3.971607	-3.9716067	-3.8988290	-3.9595466	-3.8836496	-3.8381114	-3.7166762	-3.7622144
IgG2_PT	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-0.3210120	-1.2327189	-1.6950521	-1.4583592	-1.1427679	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.9555302	-5.3948612	-5.2454510	-6.0344281	-4.6931667	-5.0087576	-6.1389966	-6.1389966	-6.1389966	-4.1803312	-3.5819910	-5.8455400	-5.8051195	-6.0072222	-5.6838579	-5.6838579	-5.9263811	-5.9263811	-5.9263811	-5.4413347	-5.5221758	-5.6838579	-4.4712424	-5.0371294	-4.7137651	-1.8843293	-6.1389966	NA	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	NA	-6.1389966	-6.1389966	-6.1389966	NA	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.8455400	-5.0371294	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.6030169	-6.1389966	-6.0628834	-6.1389966	-6.1389966	-5.6324377	0.7166319	-6.138997	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-3.4802108	-3.9106562	-3.5907304	-0.1311712	19.1625271	-5.8476605	NA	NA	-5.8476605	-6.1389966	-2.8691201	27.2966347	25.5748520	24.0857449	22.5777321	26.0372925	NA	-3.5340164	-3.6954334	-5.0100369	-3.6794372	-2.1714239	-2.8176756	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.8786116	-2.7662315	-0.4512382	-5.8957596	-5.7299948	-6.1389966	-3.0777550	-0.3426332	-4.2381096	NA	-2.8705492	-3.5750501	-4.4038749	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.0615244	-5.8128767	-5.6471119	-6.1389966	-5.8128767	-5.8957596	-4.4867573	-3.5336089	-4.0309038	-4.9840522	-3.9065800	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-1.0685697	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-2.7662315	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-2.9081049	-3.1263413	80.3848953	74.6499634	68.3856506	-6.1389966	-1.1971803	112.7700806	137.3096313	-0.1688476	2.0368962	-0.5658813	-0.0875106	0.8526874	-0.9656811	-6.1389966	NA	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	3.0389419	-4.3528175	-4.3528175	5.0176873	13.2168808	-6.1389966	34.3005180	19.0734463	25.5156670	39.5714264	43.6710243	-6.1389966	-0.8388782	-2.5958481	-3.1815045	0.3324351	2.6750617	-6.1389966	-6.1389966	-6.0586662	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-1.0830097	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.5533400	25.5643654	24.1002235	21.7575989	25.2715378	33.4707298	-4.9384747	-3.7671611	-4.3528175	3.8463740	3.8463740	26.6869812	16.1451626	17.9021339	13.8025379	25.5156670	-6.1389966	-6.1389966	-6.1389966	-5.3820267	-2.4537439	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.5533400	-6.1389966	-2.0394006	-4.3820267	-3.2107136	-2.6250572	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	14.5302982	17.4585800	11.0163574	14.2374687	15.1159534	-6.1389966	-6.1389966	-6.1389966	-2.5702953	1.8221288	3.8719268	-1.3989820	-3.1559520	2.1149573	9.7284927	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	4.4575839	5.0432401	2.7006145	5.6288972	9.7284927	NA	NA	NA	NA	NA	19.4149723	15.9010315	17.6580009	20.5862846	29.3711319	-4.9384747	-6.1097875	-4.9384747	-3.7671611	5.6033444	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	-6.138997	-6.138997	-6.138997	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.7682624	-6.1389966	-6.1389966	-6.1389966	-4.3820267	-3.7963703	-6.1389966	-6.1389966	-6.1389966	-5.3820267	9.8450451	-6.1389966	4.5741353	8.6737309	3.9884782	15.1159534	16.8729248	14.9994030	-6.1389966	13.8280888	16.1707153	14.4137459	16.7563725	-6.1389966	-6.1389966	-5.5533400	-2.3322287	-6.1389966	-2.9178853	2.2315087	3.9884782	3.4028220	6.9167619	20.3868637	-6.1389966	-6.1389966	-6.1389966	NA	-6.138997	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-6.1389966	-5.5534186	-5.7119765

# 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	3.7369916	1.5812335	2.0101383	2.2775652	2.1957674	3.1644914	0.3022492	0.1915581	1.0977626	0.8818507	5.4768763	9.9703197	8.0189056	7.8218431	8.8619728	9.2054358	2.2206299	1.5235779	1.1624498	10.3925638	9.9687471	3.4783807	3.648276	4.1868048	9.2039137	9.2753534	4.8572540	5.1131620	1.3536272	6.0856247	7.263459	5.8423033	0.5266738	0.1660492	1.3963366	1.9276731	3.4813626	0.3164361	0.1071832	7.4763412	4.9046159	0.3212914	0.3451736	0.2889290	4.356260	7.206232	0.2057450	2.823595	0.1632791	0.1562736	1.2879784	1.0963659	0.6814103	2.394967	0.3191369	0.5004163	1.2589653	3.722896	0.7126846	0.6550300	0.2070160	0.6244757	1.0322046	2.4934096	0.7062259	0.2070160	0.5163193	0.5036113	0.0292130	2.3958910	6.4240580	0.9956841	0.7832434	1.0025196	1.9154418	4.0925970	7.0415468	0.1215165	0.1618874	0.0877047	0.9949639	1.7987336	1.6457736	1.4969120	1.5909433	7.9525447	14.8636346	0.5564308	2.934366	2.602187	0.6278496	0.7287436	2.046671	1.286316	1.779610	2.267048	4.0034299	4.2152114	3.161783	1.0573816	0.5230806	0.5929534	1.4585857	2.2563977	1.6274481	0.7070343	0.5414038	0.4815507	4.9186869	6.6036453	2.255534	1.4212649	7.896541	1.1682744	1.0851729	1.0827196	7.9707804	8.8637304	1.0043159	2.881449	0.8011205	0.7730770	1.4447832	0.9035027	0.8018947	0.8908315	12.5800500	16.0170960	0.1030719	0.1344805	0.0292130	0.4232326	2.0982764	9.8426018	10.6538563	9.4371548	13.0435185	10.9679346	5.3135719	5.1486073	5.6632624	12.2698178	15.3092141	0.0292130	3.7980070	0.0292130	0.0292130	0.1948166	0.0292130	3.156480	0.4217744	0.3811564	0.1895931	0.9027591	2.8821781	2.237951	2.9231582	2.6915820	0.0292130	3.2503693	5.9969492	3.5355244	5.9951100	17.0899167	8.8655605	6.1400514	6.7341728	11.9511628	5.3272028	0.2133279	2.678511	1.0000000	0.9866962	0.1993442	1.1130819	1.9889135	2.6962306	1.1082153	2.4408095	2.3343794	7.5583262	13.7334924	0.1749341	2.4718516	3.9153106	4.4208541	13.5428052	16.9995675	9.1288862	3.1326056	4.4940248	4.2279491	3.9308317	4.9530048	0.7427938	0.7427938	10.8741121	0.9046564	4.4745011	16.2993360	1.5055432	1.3104212	1.3281598	16.3991132	18.2660756	0.6314862	0.5893576	0.5716190	3.2767189	18.8776059	1.0771391	1.0660527	1.1015294	8.3343458	13.8842340	1.1037698	1.1170738	1.0815969	6.380932	10.201331	0.3853772	0.5738473	0.5028939	0.4496787	1.7844902	6.4984593	8.5095453	6.5649781	6.4142022	8.1326056	3.2527716	2.5321507	3.1884701	8.5476723	15.399113	2.6891127	2.8842344	3.0594008	8.7090683	11.970709	0.4341235	0.4784696	0.5228155	2.225698	3.420820	0.1308203	0.0864744	0.1042128	0.4634147	1.2084258	10.6031046	9.8070955	9.9711752	10.0199556	11.0598669	0.6141906	0.8093126	0.5521064	1.9866962	4.4922395	0.9933481	1.0820398	0.9423504	4.3902440	7.3747230	4.0022173	3.4656320	3.9578714	4.3436809	9.0399113	0.3835921	0.4146342	0.3658538	1.1840353	2.2039912	2.5210643	2.5831485	2.6563194	2.9401331	4.5831485	3.545340	3.539515	2.709755	3.460651	2.574109	1.4008875	1.3055439	1.3543243	2.937473	3.870954	0.2146454	0.5295014	0.5028939	1.3543351	4.212428	0.2594235	0.2904656	0.2860310	0.9556541	1.4966741	0.2345903	0.2079828	3.3144131	4.1835928	5.4563198	3.061447	2.369484	3.054540	2.956405	3.044914	1.788202	2.497626	3.028554	3.047595	2.314454	0.0483143	0.0571835	0.0460970	0.5959861	1.1880040	0.2656324	0.2478940	0.2700670	0.6824839	1.968515	0.9019728	0.7445450	0.9463186	2.3986468	4.323259	0.1796010	0.1973393	0.2239468	1.5986696	3.3503325	0.2208099	1.9844790	1.9135255	1.9578714	5.1995564	5.7228379	5.3126388	0.1935158	4.9423504	4.6053214	6.2949004	8.8137474	3.9174938	4.3831258	4.3010859	5.870931	0.3498757	9.567162	0.6984479	0.7782705	0.6984479	1.2439024	3.4235034	0.9079609	0.9488633	0.0292130	3.197792	0.0292130	0.2527914	0.2082841	2.4270868	1.9695990	1.9205155	29.0916371	22.5918393
IgG_PRN	2.6023493	1.1855298	1.4018309	0.4081295	13.6534662	15.2790966	1.0428581	0.8156557	2.1613951	5.5886252	18.3410311	0.4015429	0.3789148	0.3804398	0.4154963	0.4387853	1.9658184	1.2581047	0.9023886	0.6842484	0.5627232	2.5848711	0.421043	0.4305661	0.5157416	0.5496786	0.5063642	0.5134380	2.3731947	0.4283142	0.442544	2.2055507	14.4174376	6.5191803	12.1626167	14.0779362	1.4681334	1.9693495	0.8022110	0.5303087	0.5061727	0.3523548	0.3866439	0.2978506	0.575156	35.471198	1.0921291	3.076020	0.9799687	0.9325609	4.4058726	7.6526346	0.7411327	3.206934	0.3998138	0.5729721	6.2689431	2.481776	5.2914407	1.1758308	0.3776574	1.0885187	5.3099682	0.4254208	0.7990222	0.2746851	3.6757691	0.6054649	0.5266829	0.4851394	10.4767809	6.3507092	5.0773399	6.5676107	7.9147310	0.5131003	8.0768623	3.0775228	3.3869081	2.5000675	4.5263879	5.1937487	1.4787320	1.3906144	1.3426704	0.6077569	0.7723055	0.1826091	2.536197	2.739965	0.2026145	0.2167647	5.670403	1.355020	2.040443	3.075333	0.4553117	7.7043610	4.083987	4.0451133	1.9882146	2.4407434	4.3618352	4.5852330	4.0761220	0.4792585	0.3809423	0.3247197	0.4812437	0.5708537	1.370392	2.9558837	7.771325	4.8980057	4.3467758	4.3434985	0.5460340	0.5793161	1.4787929	2.486684	1.2265568	1.1782399	10.0630941	0.6571072	0.5902698	0.6288203	0.6349796	0.7230812	0.1398351	0.1542137	0.0686693	1.4024345	12.2405815	0.3261628	0.3397164	0.3209581	0.5566728	0.5372798	0.4585724	0.4656750	0.4661198	0.5624013	0.6535792	1.0440176	5.2682731	0.5496507	0.0486255	5.1025403	0.5870802	4.585032	0.2489755	0.2307062	0.1306443	2.3912013	0.6257401	3.405461	1.9516474	1.8617821	0.4029766	2.2351367	5.2903197	0.4526069	0.5416844	0.3856773	0.2341790	0.1797857	0.3850024	0.4744508	5.0623972	0.0901752	2.059981	0.1105800	0.1121199	0.0895095	0.1122384	1.2584987	2.5092766	0.6832168	1.1061445	1.2446988	2.4833548	3.4801233	0.0853014	0.0793276	0.1394639	0.1591275	1.6700351	2.7107115	2.2562377	0.8658366	1.5285196	1.4994583	1.1551459	1.9488019	0.5588574	0.5566857	7.6599560	0.5463406	3.3668988	3.5639310	1.7129358	1.6552871	1.7069734	3.5074272	3.5721438	0.2809706	0.3066754	0.2630835	1.6938359	3.1132560	2.8438475	2.7458844	2.8064945	3.3191724	3.1905291	1.3270563	1.3621588	1.3344401	3.457174	3.488999	2.1470973	2.7419839	2.6397958	2.1485188	3.3909655	0.8311291	1.2886854	1.0813082	3.8123534	3.7820284	3.3570774	3.4205306	3.3735428	3.5159271	3.490064	1.6968765	1.7290967	1.7505766	2.8407283	3.239886	2.0503891	2.0340421	2.0935466	3.385587	3.589252	2.5067101	2.3023338	2.3727758	3.8984904	3.9115601	0.0793276	0.0793276	0.0793276	1.9943480	2.7242744	1.0961243	1.1152352	1.0087432	1.3430264	1.8275514	0.1923041	0.2261038	0.2259853	1.6746244	3.2789149	0.1074317	0.1147759	0.1029303	0.2869716	1.4375358	1.9927580	1.8517559	1.8480442	3.0825148	3.1488106	1.2029322	1.2112637	1.1709886	2.0076046	3.2950251	1.850403	1.744619	1.724104	1.702977	1.845724	3.0865242	2.9914436	3.0377204	3.285294	3.222275	0.3651228	0.9078095	0.9460315	2.3780472	3.796243	0.9045913	0.8960230	1.0778136	3.5602982	3.6365840	0.1999860	0.2130556	3.0555677	2.7762878	3.2851357	1.995202	1.849296	1.998385	2.031059	1.836726	1.867239	1.772571	1.728416	1.811990	2.046340	0.1006410	0.1469970	0.1612511	3.0183334	3.3475230	2.0977318	2.1255295	2.1686869	3.2409515	3.678173	0.7201664	0.5818887	0.6901577	2.9925890	3.485801	1.0458409	1.0283093	0.9646590	2.2790480	3.3933251	0.1553996	2.0435572	2.0259073	1.9336299	2.8538759	2.9636056	1.3957393	0.1499603	1.3541217	1.3346159	1.9292656	3.1545360	0.9999993	1.1031351	1.0799177	2.801243	2.2504945	2.929057	0.8957570	1.0351009	0.9541559	2.0247622	3.1213894	4.0113404	4.0510824	0.0667374	3.010115	0.0737419	10.8131857	9.8438931	8.0885096	6.4768677	6.1083562	9.7070713	7.7728834
IgG_FHA	34.0509567	1.1102328	5.0753670	2.3413615	75.2847519	22.1298389	1.2156253	0.9040022	0.5959520	1.1217999	0.0844374	2.4494023	2.3267596	2.3260980	2.4213152	2.5283244	10.4575734	5.4772315	0.8013916	3.1514628	3.1136510	1.0603971	1.844203	1.8925726	2.3104846	2.2439430	1.9078827	1.9034328	12.1002860	2.4123523	2.535161	14.2434883	0.8896036	0.3441730	17.3114662	0.0844374	3.4111037	0.5197883	0.2705379	2.4387636	2.3306842	2.2253790	2.0961375	1.8918366	3.113651	67.224091	0.5243130	4.387962	0.5031929	0.4936628	2.1061618	1.0964575	0.2706356	4.133607	0.1575184	0.2090054	1.3426528	5.372181	0.7504683	0.9761715	0.3815584	0.9541140	2.3839681	2.1132917	2.2045860	0.7813473	0.6057515	1.7559135	2.2670491	2.2375379	0.0844374	4.9823031	4.1202965	6.0922012	12.1363225	2.5720844	11.5642095	0.3265448	0.3683038	0.2850246	2.5047805	6.1566854	0.7452650	0.6668673	0.6960435	2.2804146	3.3419938	0.5905805	4.376535	3.912067	0.6741714	0.6986885	1.048276	2.385304	3.458819	7.264579	2.3139629	0.0844374	4.269206	3.0093710	1.4224973	1.5990877	2.4180975	3.4111037	0.8198256	0.7641492	0.6419945	0.5887675	2.3373652	2.9561434	4.438960	0.7059655	2.931146	0.8261938	0.7667198	0.8053212	2.1620071	2.6174226	1.0238295	4.605030	0.8412752	0.8038464	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	0.2081389	0.0844374	2.1283293	2.5404742	10.531455	0.5288677	0.5126472	0.3060045	1.3957477	2.6794205	4.666935	0.0844374	59.0986633	2.3477535	10.3375630	0.0844374	2.4810255	3.0288441	2.7431171	3.0003376	2.2307777	2.1532247	3.0163081	0.0844374	0.3792901	5.024043	10.6423736	10.6716552	0.3832054	10.6739078	14.3972034	19.6645508	6.0661802	11.3098779	11.3954701	24.0103016	35.7556877	0.3847098	2.8845987	3.8407626	3.7202566	20.9559822	33.7588921	10.0848126	5.4478836	7.8332253	8.0348191	8.7240682	25.2322540	8.9395232	9.4215465	0.0844374	10.6142173	13.5851955	21.0610676	12.4229331	8.8122602	10.6018291	15.4783783	19.6499100	3.0271163	0.6012306	4.0902715	6.3314567	10.5705619	1.1687050	1.2655602	6.5588112	9.2324662	11.6842551	2.1430309	2.9122417	1.4774327	8.536603	11.938924	9.2083440	15.7235470	12.5194421	10.8301063	24.5148487	24.1634674	37.5339928	32.4626083	39.6580505	51.5464668	0.2203503	0.2507582	0.7890930	0.3611279	1.095426	0.7463708	5.5789967	6.8088326	5.2760425	7.028446	0.5413980	1.2419095	2.1721702	7.619714	7.986863	7.3076253	5.3952975	4.0956354	9.9992995	28.9097195	22.2379704	17.8209229	13.9534702	18.5293159	21.0621929	0.0476222	0.1343412	0.0588841	0.0746517	0.0588841	0.0723991	0.0825353	0.0678940	0.1557398	0.1579919	0.1539030	0.0930867	0.1584077	0.2394958	0.2710299	0.1028070	0.1895261	0.1005545	0.1388464	0.2289443	0.0566320	0.1005545	0.1230793	0.0859137	0.1489820	7.701504	7.314624	6.553058	7.295608	5.979622	1.0000005	0.1946640	3.6634328	5.861821	6.691848	3.9635210	9.6610866	9.9899440	21.3343925	59.371471	8.9913297	8.7762208	10.5984502	20.0260677	22.9238415	0.5967259	0.1080313	3.5789659	2.2567794	4.3470507	7.409777	5.394441	7.164294	5.454511	6.815103	4.841997	5.698038	6.390488	5.959263	5.932354	0.0318551	0.0318551	0.0318551	0.0318551	0.2159195	0.6800666	0.0978088	0.0786629	7.9092956	10.519882	1.1777143	0.0447335	0.3769698	0.3229108	9.273010	0.0318551	0.0318551	0.0318551	0.0728149	0.1156111	0.3759470	0.0908341	0.0581737	0.1099801	0.1066012	0.1460195	0.0588841	0.3354015	0.0836611	0.0577583	0.1309628	0.1061859	0.2925029	0.8105659	5.4393449	5.134138	0.6447058	8.499295	0.1482716	0.0683098	0.1741748	0.1415143	0.3509922	5.8343496	5.9912772	0.1046934	5.118342	0.1067657	2.4787986	2.2369683	4.5549011	3.0367246	2.8561492	19.5080433	35.9892960
IgG1_PT	7.3347201	3.3842516	2.9508762	3.6929998	4.8287020	16.5435305	0.0487919	0.0637903	0.1202221	0.2414360	3.5191050	20.1184187	17.6003408	15.1221685	7.1429996	22.2866411	3.1036673	2.6587305	2.3924494	6.9577827	19.6916399	5.5692515	8.518432	5.6574025	6.5432630	17.1475878	0.8130560	0.8078699	0.8292246	9.8174582	11.164226	0.1480045	0.1650658	0.1726484	2.3839817	2.5517511	0.0958729	0.0955572	0.1183052	12.8886814	14.5606871	0.0898695	0.1113548	0.0784960	6.206975	13.218217	0.0731249	9.400291	0.0617504	0.0608025	1.5206604	1.4241047	0.6813278	8.798871	0.5028162	0.4168777	0.6323824	10.441437	1.8376780	0.8829041	0.8367748	0.7407265	5.5899301	13.0924683	0.2279396	0.2175140	1.0613384	0.1909742	2.7835054	7.5786705	10.5464373	0.3511896	0.4100485	0.4949932	1.3578167	4.7927232	17.1182280	0.0281324	0.0207748	0.0274639	1.5938082	2.4261789	1.6497717	2.2233152	1.8225937	15.2497826	21.1475611	0.7926340	9.437940	8.993967	1.2113371	0.2311802	3.888611	2.946013	2.962400	2.497695	5.4258904	9.2837982	8.917423	1.1437826	0.6882925	0.7935534	1.9609909	3.7492304	4.4071870	0.6713800	0.7190571	0.5573177	8.4686451	11.2749977	8.284483	4.4874630	14.426782	1.2749825	0.9682541	2.1051769	13.2646408	19.5522547	0.1646767	9.475162	0.0690765	0.3234272	0.7404261	1.3256817	0.6556492	1.4435568	22.4988127	23.9367609	0.0290565	0.0046453	0.0119457	0.0556736	0.0708838	15.5283470	8.2670088	19.5823584	20.8504648	18.6897402	12.3557825	12.7741251	13.1698933	23.0875292	21.8122129	0.0052433	7.4563198	0.0046721	0.0052433	0.0279636	0.1121044	5.898559	0.1021137	0.0355339	0.0721102	0.4087410	3.7519302	6.215260	1.1654015	0.8570738	1.5654564	6.5577030	13.6768618	3.2055111	2.4852009	8.5909843	9.5996923	9.7842894	13.7692900	16.8636866	12.9574261	0.0841389	9.986206	3.1950035	5.6006889	0.0678806	11.7111292	4.3497324	1.8478193	0.9779806	0.1150970	0.1150970	37.0632582	91.6723166	0.0407829	3.5761204	0.5930710	1.1704359	109.0894766	136.8991919	0.8645439	8.4837189	1.7477999	2.9025288	12.4290428	18.3470278	2.4251842	7.5252371	19.3869562	85.8543463	19.2649813	1.7515926	2.8582077	49.8171835	80.9948645	10.7488556	2.5214119	2.4906178	3.0679827	2.2981634	11.8246765	152.4610357	8.5538588	10.3340654	9.8529282	53.4439459	122.1022024	0.1150970	0.4273796	0.1150970	26.691812	60.708201	0.1150970	0.1150970	0.1150970	0.1150970	0.8817530	0.2081614	0.1150970	0.1150970	4.7308497	6.9440799	10.9603205	12.1631632	35.7869940	92.9460745	100.981063	15.2416630	16.6369600	14.6642990	55.4647207	91.550002	0.1150970	0.1150970	0.2301874	11.007657	19.379441	0.1157265	0.9817734	3.9167089	0.5968637	0.1157265	16.6187277	17.6772280	21.7668943	11.9516983	15.1272020	2.2031221	1.7219849	1.8182125	30.6864347	80.6284628	0.5672560	1.7219849	0.4710283	25.1052465	66.4349203	18.4660597	18.1773767	21.7859049	47.9597616	80.3402853	0.1150970	0.1150970	0.1150970	3.9833288	14.3277760	1.1446199	1.0483932	1.4333029	4.2720113	13.3173876	12.432096	12.509755	11.961507	12.318222	11.945047	0.4698420	0.1811600	0.2773876	10.766175	18.175687	0.1150970	0.1150970	0.1150970	2.3251638	19.838553	0.6930904	3.0987759	11.7592430	1.2223415	1.8478193	0.1150970	0.1150970	9.7076740	14.1341343	22.9870558	12.127610	11.926711	12.028015	11.447366	12.368040	10.880120	11.773138	12.105760	11.869030	11.655182	0.1150970	0.1150970	0.1150970	0.1150970	2.8094645	0.2349243	0.9509792	0.4273796	6.3878284	12.979405	1.0000067	0.4226418	0.4037790	5.2340126	14.808640	0.1150970	0.1150970	2.5933409	10.0942736	13.3660059	0.0046453	4.2244020	3.7913790	16.6377382	31.3605318	25.1057501	18.0375891	0.0046453	15.0545387	16.4017229	41.1271086	76.7312536	15.0492086	17.8879175	17.8398027	29.194638	0.0046453	63.788390	0.1150970	0.1150970	0.1876564	6.0527229	10.3829565	0.0638161	0.4999771	0.0046453	9.748763	0.0046453	0.0046453	0.0281696	1.6485624	2.0303831	2.7105989	28.1057119	26.4512625
IgG1_PRN	2.1747838	1.4424167	1.2454637	1.1905806	2.3553108	3.0285786	0.0821931	0.1004506	0.1214997	0.2549958	1.2495642	1.5017196	1.3129594	1.1262711	0.9427913	2.4379438	1.4738858	1.3797227	1.1597440	1.8400575	2.8758336	1.4744555	1.845392	1.3322477	1.5238830	2.4908825	0.8892982	1.0014336	1.0526948	1.8311983	1.826288	2.6565653	3.0431217	2.7406701	3.1410359	2.8347861	1.4396504	1.4178917	1.5123061	2.4569927	2.4733795	0.2457967	0.2807409	0.2354327	2.311464	2.324623	1.4479524	1.736250	1.3528597	1.3459144	1.9621513	3.1615912	0.5134668	1.731186	0.4294977	0.3998711	1.9042237	1.630116	3.2494944	1.1939831	1.1682905	0.9536740	1.1578174	1.7331491	0.4563299	0.4240987	3.1250623	0.3989216	2.0333833	2.4304725	3.3096064	2.4817938	2.6239785	2.6469535	2.7544063	2.9732500	3.5455250	2.0139641	1.8325719	1.9826320	2.5289563	2.4709402	0.1747144	0.2183416	0.1821252	2.8763829	2.8525301	0.0682814	1.590499	1.525689	0.0777717	0.0335513	2.591155	2.222354	2.192212	1.939880	2.3904091	2.7822534	1.770412	2.3101183	2.1286126	2.0173460	2.0582525	2.2569891	2.6397828	0.3317072	0.3700780	0.3288648	2.2325231	2.5205966	2.252488	2.6513258	2.945281	2.3869323	2.2044884	2.6251453	2.9327260	3.2637955	1.2230929	1.498899	0.8719550	1.5163879	2.7293755	0.7801009	0.5049365	0.7952107	2.8914350	2.9105009	0.0319734	0.0250474	0.0207096	1.3379549	2.0806154	0.2480435	0.1840156	0.3769988	2.7230569	2.6137718	1.8127549	1.8471570	1.8495154	2.8669659	2.8776811	0.5042968	2.7600652	0.4512837	0.5242665	2.5053083	2.8589431	2.577596	0.1254382	0.0607100	0.0950351	1.4681026	2.6457101	2.644517	1.1992085	1.0410666	1.3875740	2.0497380	2.9506878	2.4658581	2.7272693	0.0396893	0.0560701	0.0649397	0.9270435	1.7216816	2.9777192	0.0254798	1.431289	0.0674890	0.5475434	0.0240771	1.8477421	0.4024680	0.0102224	0.9836318	0.6284556	0.5463734	2.4515046	4.3172264	0.0183201	0.0491390	0.0096066	0.0181042	2.0311183	2.7485522	0.2390425	1.5533423	0.8330144	1.0779678	1.7963252	2.3383261	0.2581315	1.1518602	2.9392322	2.6471349	1.4053112	0.1828843	1.2774158	2.1144320	2.8053261	1.7748349	1.2046317	0.0372812	0.0475030	0.0348182	1.3955469	2.8987035	3.0684959	3.0602444	2.9207109	3.5193628	3.8024940	1.2645111	1.4812006	1.4122343	3.534363	3.590768	2.5919002	1.8780996	2.1390630	2.8160406	3.3539158	1.1103573	0.4359043	0.6205738	4.6478333	4.9035630	3.4134501	3.4572929	3.4779829	3.5984889	3.885623	1.8959464	2.1811711	2.0146052	2.8083946	3.400519	2.3113450	2.2077724	2.3027240	3.389189	3.922754	1.9925096	2.5498432	3.2584099	2.4329699	1.8918312	0.0072666	0.6426799	1.6609789	0.3623197	0.0050499	2.2421321	2.2199644	2.1366507	2.8749591	3.7377146	0.0771459	0.1637847	0.1260996	1.7271019	3.8686275	0.0220345	0.0070713	0.0586112	0.5121875	1.0041878	1.9413900	1.8402805	1.8309208	2.8895530	3.6112355	1.4764836	1.3602262	1.4198327	2.2856055	3.5417150	1.617788	1.718428	1.667331	1.743753	1.679526	3.0982746	3.0152687	2.9751204	3.560780	3.540705	0.3216789	0.4006207	0.4218647	2.4638816	4.704669	0.5218658	1.7195387	2.9217068	1.1616509	0.6373227	0.0770600	0.5991099	3.3615779	3.2270321	3.3701986	1.600725	1.333491	1.650329	1.717551	1.917921	1.726031	1.780069	1.843533	1.842249	1.697158	0.0041518	0.0436482	0.0209007	1.2322438	1.6864358	2.0327460	2.3111972	2.0178443	3.3190898	3.690953	0.6533837	0.5105867	0.4769657	2.6436762	3.380630	0.6743814	0.6349721	1.3307923	2.4844376	2.6460773	0.0538554	1.7506244	1.7440972	2.3062953	2.8080248	2.7561156	0.9701411	0.0390100	0.8966181	0.9046232	2.2234126	3.7646852	0.9406406	1.0520949	1.1089306	2.636718	0.0360878	3.587282	1.0000006	1.1917514	1.3812854	2.5701529	2.7636894	1.0726621	2.0478166	0.0326687	1.546904	0.0137321	2.2578946	2.6401404	2.7355243	2.8585249	3.0103360	3.4351414	3.3416837
IgG1_FHA	3.0132533	1.3647882	2.2701010	2.2337550	2.1682395	3.3131775	1.2368116	1.3579476	1.2154666	1.1847113	2.6942235	2.4569117	2.3283175	2.2032114	1.5530784	2.8276027	2.3107885	2.2074667	2.0182487	2.1104478	3.1890651	0.9102672	1.245206	0.9028926	1.3343319	2.1474200	0.2439390	0.2731112	0.2659246	2.1829280	2.244217	0.9090808	0.9792905	0.9960756	2.9941279	2.8914748	0.6336371	0.6301122	0.6979240	2.5947379	2.8021780	1.7972052	1.8360507	1.7295372	2.857065	2.824358	0.8281286	1.638463	0.7875565	0.7937911	1.7608639	1.2875160	0.2952251	1.548218	0.2649640	0.2325448	0.9524925	1.436530	1.4038049	1.0845093	1.0628325	0.8693000	1.7249265	2.5903260	1.4689363	1.4877596	1.1305259	1.4409771	1.8101040	2.5503772	2.7163907	2.0959159	2.2148267	2.2240621	2.3395783	2.7667989	3.0329522	0.4010113	0.3505915	0.4086492	2.0501269	2.1644799	0.5996455	0.7086720	0.5701631	2.1553355	2.8298370	0.8874877	1.301623	1.199062	1.1170726	0.5082802	1.269822	2.202197	2.158267	2.027266	2.3908130	2.7640969	2.063629	2.0566283	1.7786704	1.7337103	1.7118629	1.9940996	1.3525776	0.5477720	0.5481921	0.5130733	2.1221195	2.8435286	3.095558	1.4187419	2.008031	0.9160230	0.8064924	1.1786220	1.8695101	3.1170024	1.0427241	1.431763	0.6863724	1.2770478	2.0075604	0.5046111	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	0.3245800	0.3525418	1.8870927	2.8784093	2.685138	0.4553193	0.3024520	0.3807088	1.0877824	2.5324038	2.818419	2.1190852	1.9061010	2.2097391	2.8996209	3.0990163	2.7720200	2.8270088	1.4658666	1.4984546	1.5560647	1.7941978	2.6639374	3.1047806	0.6541926	1.151010	1.0819529	1.3078210	0.6418619	3.3019062	1.6376284	1.0812035	0.6838216	0.5891269	0.6378485	0.9853954	1.2764754	0.5097839	0.5528980	0.5733861	0.7123049	1.2364987	1.1575449	1.5536270	0.8899512	0.5711374	0.7225490	0.8457271	1.1510487	0.8640803	1.0916972	3.5198368	2.3726991	1.4952116	0.7421514	0.9920055	1.2231206	2.3579577	2.7040056	1.0617148	3.2031666	3.4352812	3.0547534	4.3277596	7.5111502	1.4139346	1.4599078	1.6135679	2.2289585	2.7476555	1.9301603	2.6379968	2.0543376	5.470842	8.317180	0.5019279	0.4831887	0.4609517	0.7400388	0.9531643	0.6158613	0.5154200	0.5991210	1.2277539	1.3951561	1.4046534	1.2102669	1.6042868	2.2723964	2.787346	1.4973859	1.4781470	1.4664040	1.6238120	2.073549	0.6908569	0.6996018	0.6183993	1.337979	1.746740	0.7374042	1.4697264	3.3621212	1.0804539	0.6911813	1.9039729	2.8119425	4.1159309	1.5861585	1.5631719	2.2221054	2.2530874	2.1613909	5.2598313	8.5966319	1.9105375	2.2161089	1.9682537	5.7910208	11.5668973	0.7815174	0.8214940	0.7090596	1.1927772	1.1508017	2.2890664	2.2315999	2.1581429	3.8459071	7.2654098	2.2241043	2.0092298	2.0294679	2.8492392	5.5866402	1.944696	1.795064	1.684214	1.937805	1.812242	2.5945221	2.4091305	2.2042502	5.502823	6.882518	0.3460218	0.3460218	0.3460218	0.8122466	4.595037	1.0000008	1.8884819	1.9414510	1.2558514	1.5606734	0.9744684	1.2410628	3.2503890	3.9162501	3.5349728	2.011864	1.561852	2.121886	1.956493	2.210118	1.780082	1.901224	2.103885	2.076312	2.066852	0.3460218	0.3460218	0.3460218	0.3460218	0.5992806	2.3446680	2.7946552	2.4086307	5.5850257	8.567533	0.3473076	0.4270110	0.3460218	0.8919895	1.417433	0.3790025	0.3460218	1.7594461	4.1370572	4.2964643	0.4201611	2.2141806	2.0367841	1.5020964	2.8792921	2.9297625	3.0141915	0.3151503	2.8208045	2.8367952	5.7705330	9.1825398	0.8827448	0.8622569	0.8532621	1.172826	0.3238218	2.098285	1.1513014	1.0408659	1.3396913	2.7636095	2.7541152	1.3981408	2.4343945	0.0476357	1.366597	0.0273353	0.3025690	1.9404926	1.7488128	1.9009215	2.2195803	3.1678132	3.8919209
IgG1_TT	1.4288516	0.9712661	1.3230222	1.3577759	1.7075025	1.8283430	0.0196716	0.0262786	0.0399112	0.8536792	1.6019483	1.2683095	1.1514397	1.0738999	0.9885935	1.5299466	1.4821734	1.4341950	1.3329929	1.5244639	1.8813845	1.1162385	1.345621	1.0670763	1.4959815	1.7942619	0.5943256	0.6942399	0.7055578	1.1679004	1.136365	1.3452036	1.4125212	1.4065555	2.0419664	1.8222084	0.5989287	0.5831304	0.6574081	1.6382266	1.6655146	0.4803312	0.5326054	0.4642568	1.704660	1.631451	0.9936277	1.225377	0.9450361	0.9575568	1.4529260	1.3773901	0.8534503	1.226290	0.7948788	0.7776076	1.5400779	1.370400	1.4432397	1.0688813	1.0938123	0.9721031	1.6182235	1.7587575	1.1164602	1.0988390	1.3254385	1.0658063	1.4022068	1.6463283	1.7241560	1.0322641	1.0673630	1.0947841	1.6363593	1.8204964	1.8213651	1.3130746	1.2329105	1.3009526	1.7236058	1.8005662	1.3301513	1.4211514	1.2702726	1.7083157	1.7559625	0.8492427	1.274061	1.211983	0.9792375	0.6259860	1.675259	1.086331	1.103029	1.009265	1.3252714	1.5951242	1.115220	1.0474308	0.9288773	0.9353095	1.0567037	1.1801767	1.7071091	0.6150695	0.6173564	0.5306625	0.9103805	1.0388999	1.485103	1.7180085	1.817462	1.3365287	1.2099944	1.5052160	1.8342652	1.9746500	1.1655674	1.243535	0.9789837	1.2943381	1.6190649	1.2491030	1.0354657	1.2293326	1.7781864	1.7842567	1.0013717	0.8820711	0.8887444	1.7312036	1.7355824	0.5117726	0.4530097	0.6708002	1.2263820	1.1868412	0.7520643	0.7842726	0.7842726	1.7052974	1.6950452	0.9759108	1.5374316	0.9169656	0.9614268	1.6115581	1.7191485	1.469432	0.8423501	0.7219278	0.7584033	1.3112425	1.5127745	1.512163	0.4524870	0.3699920	0.5278815	1.3830662	1.7607579	1.6944431	1.7103416	0.3564997	0.4042543	0.4101859	1.0657896	1.4409268	1.7720912	0.8749200	1.276444	0.9040976	1.3306352	0.8551765	1.6220469	1.1111078	0.8901499	0.4623243	0.2824942	0.2540326	1.6462106	2.3094420	0.7605886	1.4345511	1.1389967	1.2266468	2.3700609	2.4296665	1.7986987	1.5894958	1.3179327	1.4245373	1.9366686	2.2601480	1.1816212	1.3067334	1.8619647	1.6760198	1.3320061	1.0971601	1.0872358	1.3414536	1.6407630	1.2162819	1.0243518	0.7259812	0.7679138	0.7218089	1.3684996	1.8848331	1.2392896	1.3025013	1.2635789	1.8312924	2.1601663	0.7988788	0.9562078	0.7847822	2.026903	2.058882	1.3528616	1.0793316	1.1924630	1.5131112	1.7545735	1.1876051	0.8607877	0.9735317	1.9924892	2.0975440	1.0060172	0.9920099	1.4053448	1.9208437	2.017792	1.1910686	1.3332876	1.2433130	1.8301598	1.944096	1.6832321	1.6300341	1.7051371	2.051654	2.161358	0.4153317	0.8981370	1.5645275	0.7548452	0.3602562	0.2091560	0.9179857	1.6383193	0.7679882	0.2310313	1.2627087	1.2528440	1.2565395	1.8903555	2.3291421	1.4423897	1.5061080	1.4554136	2.4544926	2.5526035	1.2739443	1.3182908	1.4979421	1.7815455	1.8649635	1.6290148	1.5796912	1.6163188	1.9272811	2.1492524	0.8620697	0.8372142	0.8649307	1.6410551	2.0557313	1.219865	1.408755	1.337102	1.359128	1.173947	1.3604231	1.3868582	1.3516909	1.944916	2.044815	0.3694588	0.4890872	0.4891170	1.8579892	2.560173	0.6759274	1.1749156	1.7439404	0.9696339	0.7376192	0.6271552	0.7728908	1.8483545	1.8293403	1.9329348	1.103525	1.116027	1.078227	1.214795	1.197367	1.087694	1.239604	1.241966	1.245086	1.051717	0.1705167	0.1705167	0.1705167	0.9502174	1.0286584	0.1705167	0.5479096	0.3470685	1.3032018	1.695764	0.5212211	0.4190273	0.4155999	1.7695409	1.944513	0.1705167	0.1705167	0.6603048	1.3826053	1.3628758	0.5493120	0.9488554	0.9342819	1.4289188	1.7777009	1.7952846	1.0000000	0.5057895	0.9526731	0.9627465	2.0806761	2.3229430	1.4854012	1.5134157	1.5326087	1.669284	0.4611921	2.056810	0.2072427	0.2142464	0.5460110	1.2418467	1.5400833	1.1097115	1.4341950	1.3249859	1.230060	1.1443712	1.7097303	1.8198055	0.3295832	0.3674599	0.4590300	1.8943211	1.8008580
IgG1_DT	2.3891537	1.3053658	1.9909890	2.0488226	1.4420179	2.2269766	0.0155203	0.0197783	0.0295122	0.0296983	0.7946783	2.1669171	2.0425839	2.0030773	1.3887651	2.2578614	1.7600302	1.6382812	1.6021583	1.3564637	2.0271568	0.7462193	1.005694	0.7420697	0.8295652	1.4970573	0.8504859	0.9613159	0.9794047	1.7271801	1.748725	2.0091007	2.1497402	2.0725865	2.5595098	2.3508582	0.7082660	0.7111247	0.7483169	1.8260875	1.9086310	0.2987942	0.3431033	0.2774140	1.325794	1.391424	1.0039278	1.454158	0.9345759	0.9676290	1.7846905	1.5239414	0.7604066	1.493338	0.6772974	0.6316780	1.2057052	1.630817	1.6586747	0.6747662	0.6881364	0.6460904	1.6647396	2.3164353	0.2864960	0.2767588	1.4155862	0.2529367	0.8952976	1.6653183	2.2551548	1.6753135	1.7379651	1.7858678	2.1667256	2.2497673	2.5264738	0.8060062	0.7048748	0.7894293	2.1630390	2.2147698	1.7496572	1.9449866	1.6358685	2.4244497	2.4641130	0.9960726	1.495079	1.441515	1.1696253	0.5272102	2.022924	1.380397	1.375670	1.226861	1.4501092	1.5427285	1.234644	0.7735458	0.6482425	0.6331971	1.4262806	1.6720403	2.0277464	1.5381956	1.5568174	1.4943361	1.5688850	1.7151953	2.433415	2.1097233	2.226605	2.1745479	2.0018563	2.2092907	2.3038113	2.3816819	1.2609290	1.485423	0.8187798	1.4920161	1.9643487	1.8097496	1.1545293	1.6910954	1.9241360	1.8546506	0.2923406	0.2078575	0.2165139	1.1804136	1.3279198	0.4439343	0.3058186	0.6578304	1.2153667	1.0485957	1.7558355	1.7504228	1.7663329	2.0783823	1.9854099	2.0220959	2.2502367	1.8406615	1.8854939	2.2468352	2.3495100	2.149482	1.3457290	1.1467444	1.2301216	2.0275803	2.1548288	2.224401	0.7594094	0.6485860	0.8614850	2.3595500	2.7288773	2.1471205	2.1270173	0.0977770	0.1355292	0.1413792	1.2766367	2.0511367	2.7141232	0.3693669	1.503427	0.8555582	1.3213946	0.3366336	1.7052839	0.9601392	0.6979708	0.9316284	0.7644071	0.7309783	1.7977591	2.2391040	0.2652590	1.5509895	1.2949344	1.3771908	1.9061705	1.8987031	2.4142544	2.0590374	1.7160442	1.8559886	2.1318922	2.3244171	1.2614626	1.3391149	2.6276755	1.8374127	1.2342243	1.1650840	0.9303086	1.4071718	1.9252020	1.2637453	0.8716148	0.3144189	0.3144189	0.3144189	1.2034972	1.8849183	0.7114448	0.7321057	0.7338080	1.7451062	2.2802763	0.5408412	0.6704938	0.6128059	2.080345	2.286064	1.5588437	1.2825919	1.3865926	2.2567859	2.4025338	1.8864381	1.5309091	1.6756124	1.9801471	2.0388796	1.1866239	1.2236123	1.5246261	2.0090728	2.046719	1.6236560	1.6549568	1.6719034	2.3060057	2.407259	1.2880914	1.2026622	1.3254666	2.363268	2.534436	0.9611838	1.4011360	1.8347818	1.1927866	0.8911150	0.3144189	0.4384334	0.7826262	0.3144189	0.3144189	1.3402030	1.3374947	1.3314589	1.9673411	2.5953302	1.2980301	1.4017600	1.3324262	2.4564304	2.6574676	0.3144189	0.3287731	0.5993375	1.2665977	1.6807820	1.9998413	1.9074092	1.9480730	2.2451792	2.5157821	2.2611198	2.2613132	2.2392595	2.2498221	2.3751025	1.382360	1.583844	1.572615	1.648972	1.276018	0.9552575	0.9845464	0.9641177	1.765364	1.766602	0.3898035	0.4470657	0.4161131	1.5462693	2.609026	1.7127513	1.7257513	1.6225631	1.6451198	1.7062899	1.5536096	1.5358505	2.1687534	2.2476439	2.3352783	1.262906	1.036388	1.243105	1.256481	1.406779	1.248881	1.424373	1.485405	1.410934	1.175850	0.3144189	0.3144189	0.3144189	0.4033895	0.8865980	0.5135642	0.6984672	0.6173327	1.6850033	1.826611	1.0000002	0.9014937	0.8881453	1.8442318	1.919060	0.7129334	0.7137459	0.9357920	1.2108444	1.0823138	0.8725332	1.2626512	1.2394755	1.5088791	1.6907254	1.5932249	0.3144189	0.7816145	0.3144189	0.3144189	0.6716273	1.5251061	0.7078079	0.7591891	0.7598082	1.223903	0.7583020	1.897006	1.5185517	1.4620246	1.7009012	2.0083764	2.0724094	1.1651527	1.3337327	0.8402470	1.531201	0.6244948	2.5117519	2.5404449	0.0281475	0.0346665	0.0537541	2.3638999	2.3441958
IgG1_OVA	0.6652021	0.3746462	36.3042917	46.9882860	23.2122469	55.6336718	3.3725781	4.0480614	5.6676612	0.8785641	6.1963625	0.1014171	0.0893569	0.3210750	0.0893569	0.1349125	0.0893569	0.0893569	0.1721449	0.0893569	0.2019310	0.8148489	1.594426	1.1401899	0.2622387	1.3189058	17.2320738	18.6990347	19.6447401	15.1396074	13.672822	0.1437256	0.2226584	0.1752987	0.4278839	0.3173778	0.2226584	0.2384450	0.2305517	0.3647375	0.4910302	2.0539014	3.0168827	1.6276639	3.632559	3.608879	1.5408378	4.328610	1.1856396	1.2724657	0.6298714	33.7719107	0.9725208	4.253693	0.6331096	0.5226035	0.6298714	4.316661	39.5828753	1.8802490	1.8960357	1.5724108	0.9704723	2.7642975	0.2384450	0.2068717	24.6833525	0.1595120	0.0893569	0.5778565	18.6468649	0.1592164	0.2381492	0.2855091	0.2223628	0.2539358	25.4125414	0.4907346	0.3328688	0.4118016	0.4704678	0.3587704	0.2065761	0.2381492	0.1279290	0.2768588	0.2172868	11.1624608	4.751823	4.521391	17.6744242	5.2739367	5.777047	2.022032	2.006246	1.795945	2.0789118	4.8192234	4.516752	1.0274782	0.6643867	0.7236488	0.5002539	0.5449328	6.1078129	0.0893569	0.0893569	0.0893569	0.0893569	0.0893569	0.785481	6.4836836	4.664469	0.0893569	0.0893569	0.0893569	0.1942382	0.1478071	23.0538206	5.156207	15.1081095	35.2342482	12.3669271	0.2716234	0.0893569	0.2561464	0.5502100	0.4418707	0.2871003	0.1108606	0.2019768	0.2716234	0.3180544	12.4210978	9.0854220	21.5989809	15.6480589	11.5698609	5.3283982	5.1991115	5.6958442	5.4780984	3.3414669	24.4151869	4.1307321	22.0267859	25.7352705	22.6817312	27.7413301	2.747527	3.0080435	1.7219815	2.1710825	2.8695765	2.5301650	2.732492	6.0360723	3.4299262	6.4647598	0.4772668	2.8001490	7.4713640	4.3535147	2.2663465	3.0148480	3.8313951	3.0116556	1.0067601	2.9655321	10.4528804	5.558221	0.5126281	0.2057993	9.2576108	0.2151539	0.1927030	0.1777358	0.0364823	0.0364823	0.0364823	0.0364823	0.0505142	6.0401559	0.4808228	0.0982223	0.1693165	0.2815711	0.2254438	3.4917514	0.8970995	0.2011220	0.4106636	0.8063607	0.9382596	4.4826937	3.4424691	0.4396796	3.7418144	3.6295598	3.2927966	1.1103830	0.8512623	0.8325534	1.0729649	0.7577171	0.0364823	0.0364823	0.0364823	0.0364823	0.0430303	0.0364823	0.6462014	0.2178619	0.0447044	0.1373146	7.3189893	7.5940127	7.6950417	7.919550	7.155285	19.2647333	11.6323667	14.6594934	16.3002806	15.5537882	0.0486431	0.0364823	0.0364823	0.0402241	0.0533204	8.5442367	9.1541524	9.1317019	9.9558368	9.878194	1.9764166	2.7696812	1.7855840	2.1999900	2.065285	1.8622913	1.5507851	1.8969030	1.715425	2.142927	9.4705329	8.1478009	6.9494848	6.4667912	8.4976611	0.2104766	0.2170248	0.2310567	0.2338629	0.1721230	3.7678201	3.7023385	3.3375115	2.4927967	2.5891485	0.0372310	0.0652945	0.0372310	0.0811970	0.1457434	0.1335728	0.1204765	0.1410563	0.1616364	0.1887646	0.0364823	0.0364823	0.0364823	0.0364823	0.0652945	0.0952289	0.0615525	0.0709071	0.0821326	0.1073899	3.071580	3.535901	3.517022	3.618512	3.191198	3.5547235	3.4303083	3.1281567	2.623012	3.080449	0.9999995	1.4265664	1.7277825	2.8372307	4.015902	3.0851259	3.2273147	2.6304953	2.3891482	3.5388207	0.4770808	0.8278761	1.6145926	1.1188021	0.7567816	3.146459	2.882525	3.213751	3.201345	3.491965	3.921324	3.686696	3.714226	3.490379	3.288715	0.4545317	2.3571463	1.3011174	0.9213231	1.5228198	3.9101961	4.5500464	3.3882129	4.8671651	4.456501	5.6733294	4.9839001	4.7388115	3.8024220	4.806164	1.6527495	1.5114961	1.4665942	1.2701490	1.1270247	0.4697495	0.2158926	0.2823098	0.2701490	0.2336662	0.2392790	0.8521044	0.3795404	0.6247892	0.6266601	0.9502337	1.5919547	7.3056960	7.9212246	8.3094382	8.301019	0.3645055	8.686426	9.6957803	8.4974647	8.2411504	8.8716455	8.1588302	0.3194010	0.6326962	0.0893569	3.863553	0.0893569	0.0893569	0.1621346	0.1014171	0.1773140	0.2228522	0.3442874	0.2987492
IgG2_PT	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	6.8179832	5.9062762	5.4439430	5.6806359	5.9962273	0.9999986	0.9999986	0.9999986	0.9999986	1.1834650	1.7441339	1.893544	1.1045671	2.4458284	2.1302376	0.9999986	0.9999986	0.9999986	2.9586639	3.557004	1.2934551	1.3338757	1.1317730	1.4551373	1.4551373	1.2126141	1.2126141	1.2126141	1.6976604	1.6168194	1.4551373	2.6677527	2.1018658	2.425230	5.254666	0.9999986	6.401251	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	5.407762	0.9999986	0.9999986	0.9999986	7.546581	0.9999986	0.9999986	0.9999986	0.9999986	1.2934551	2.1018658	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	1.5359783	0.9999986	1.0761118	0.9999986	0.9999986	1.5065575	7.8556271	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	3.6587844	3.2283390	3.5482647	7.0078239	26.3015223	1.2913346	6.869293	6.205539	1.2913346	0.9999986	4.269875	34.435630	32.713847	31.224740	29.7167273	33.1762877	4.827135	3.6049788	3.4435618	2.1289582	3.4595580	4.9675713	4.3213196	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	1.260384	4.3727636	6.687757	1.2432356	1.4090004	0.9999986	4.0612402	6.7963619	2.9008856	7.484961	4.2684460	3.5639451	2.7351203	0.9999986	0.9999986	0.9999986	0.9999986	1.0774708	1.3261185	1.4918833	0.9999986	1.3261185	1.2432356	2.6522379	3.6053863	3.1080914	2.1549430	3.2324152	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	6.0704255	0.9999986	0.9999986	0.9999986	0.9999986	4.372764	0.9999986	0.9999986	0.9999986	0.9999986	4.2308903	4.012654	87.5238905	81.7889585	75.5246458	0.9999986	5.9418149	119.9090757	144.4486265	6.9701476	9.1758914	6.5731139	7.0514846	7.9916825	6.1733141	0.9999986	7.579805	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	10.1779370	2.7861776	2.7861776	12.1566825	20.3558760	0.9999986	41.4395132	26.2124414	32.6546621	46.7104216	50.8100195	0.9999986	6.3001170	4.5431471	3.9574907	7.4714303	9.8140569	0.9999986	0.9999986	1.0803289	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	6.0559855	0.9999986	0.9999986	0.9999986	0.9999986	1.5856552	32.7033606	31.2392187	28.8965940	32.410533	40.609725	2.2005205	3.3718340	2.7861776	10.9853692	10.9853692	33.8259764	23.2841578	25.0411291	20.9415331	32.6546621	0.9999986	0.9999986	0.9999986	1.7569685	4.685251	0.9999986	0.9999986	0.9999986	0.9999986	1.585655	0.9999986	5.0995946	2.7569685	3.928282	4.513938	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	21.6692934	24.5975752	18.1553526	21.3764639	22.2549486	0.9999986	0.9999986	0.9999986	4.5686998	8.9611239	11.0109220	5.7400131	3.9830432	9.2539525	16.8674879	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	11.5965791	12.1822352	9.8396096	12.7678924	16.8674879	8.711727	9.215307	8.565908	9.519581	7.964211	26.5539675	23.0400267	24.7969961	27.725280	36.510127	2.2005205	1.0292077	2.2005205	3.3718340	12.742340	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	7.994815	7.730200	8.028729	7.259541	8.604864	6.722219	7.992486	8.706313	8.260193	7.450229	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	1.370733	0.9999986	0.9999986	0.9999986	2.7569685	3.342625	0.9999986	0.9999986	0.9999986	1.7569685	16.9840403	0.9999986	11.7131305	15.8127260	11.1274734	22.2549486	24.0119200	22.1383982	0.9999986	20.9670839	23.3097105	21.5527411	23.8953676	0.9999986	0.9999986	1.5856552	4.806767	0.9999986	4.221110	9.3705039	11.1274734	10.5418172	14.0557570	27.5258589	0.9999986	0.9999986	0.9999986	5.721953	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	0.9999986	1.5855765	1.4270186

# 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")