Performing meta-analyses of microbiome studies with MMUPHin
10/09/2019
Package
MMUPHin 1.10.0
1 Introduction
MMUPHin is an R package implementing meta-analysis methods for microbial
community profiles. It has interfaces for: a) covariate-controlled batch and
study effect adjustment, b) meta-analytic differential abundance testing, and meta-analytic discovery of c) discrete (cluster-based) or d) continuous
unsupervised population structure.
Overall, MMUPHin enables the normalization and combination of multiple
microbial community studies. It can then help in identifying microbes, genes,
or pathways that are differential with respect to combined phenotypes. Finally,
it can find clusters or gradients of sample types that reproduce consistently
among studies.
2 Installation
MMUPHin is a Bioconductor package and can be installed via the following command.
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MMUPHin")This vignette is intended to provide working examples for all four
functionalities of MMUPHin.
MMUPHin can be loaded into R with the first library() command shown below. We also load some utility packages for data manipulation and visualization.
library(MMUPHin)
library(magrittr)
library(dplyr)
library(ggplot2)3 Input data
As input, MMUPHin requires a properly
formatted collection of microbial community studies, with both feature
abundances and accompanying metadata. Here we use the five published
colorectal cancer (CRC)
stool metagenomic studies, incorporated in Thomas et al. (2019).
Data for the studies are already
conveniently packaged and accessible through the Biocondcutor package
curatedMetagenomicData,
though additional wranglings are needed to format input for MMUPHin.
Importantly, MMUPHin asks that feature abundances be provided as a
feature-by-sample matrix, and the metadata be provided as a data frame.
The two objects shoud agree on sample IDs, that is, rowname of the feature
abundance matrix and colname of the metadata data frame must agree.
Many popular ’omic data classes in R already enforce this standard, such as
ExpressionSet from Biobase, or phyloseq from
phyloseq.
To minimize users’ efforts in loading data to run the examples, we have properly formatted the five studies for easy access. The feature abundances and metadata can be loaded with the following code chunk. For the interested user, the commented out scripts were used for accessing data directly from curatedMetagenomicData and formatting. It might be worthwhile to read through these as they perform many of the common tasks for preprocessing microbial feature abundance data in R, including sample/feature subsetting, normalization, filtering, etc.
data("CRC_abd", "CRC_meta")
CRC_abd[1:5, 1, drop = FALSE]## FengQ_2015.metaphlan_bugs_list.stool:SID31004
## s__Faecalibacterium_prausnitzii 0.11110668
## s__Streptococcus_salivarius 0.09660736
## s__Ruminococcus_sp_5_1_39BFAA 0.09115385
## s__Subdoligranulum_unclassified 0.05806767
## s__Bacteroides_stercoris 0.05685503CRC_meta[1, 1:5]## subjectID body_site
## FengQ_2015.metaphlan_bugs_list.stool:SID31004 SID31004 stool
## study_condition
## FengQ_2015.metaphlan_bugs_list.stool:SID31004 CRC
## disease
## FengQ_2015.metaphlan_bugs_list.stool:SID31004 CRC;fatty_liver;hypertension
## age_category
## FengQ_2015.metaphlan_bugs_list.stool:SID31004 adulttable(CRC_meta$studyID)##
## FengQ_2015.metaphlan_bugs_list.stool
## 107
## HanniganGD_2017.metaphlan_bugs_list.stool
## 55
## VogtmannE_2016.metaphlan_bugs_list.stool
## 104
## YuJ_2015.metaphlan_bugs_list.stool
## 128
## ZellerG_2014.metaphlan_bugs_list.stool
## 1574 Performing batch (study) effect adjustment with adjust_batch
adjust_batch aims to correct for technical study/batch effects in microbial
feature abundances. It takes as input the feature-by-sample abundance matrix,
and performs batch effect adjustment given provided batch and optional covariate variables. It returns the batch-adjusted abundance matrix. Check help(adjust_batch) for additional details and options. This figure from the paper (figure 2b) shows the desired effect of the batch adjustment: batch effects are removed, making the effect of the biological variable of interest easier to detect.
Here we use adjust_batch to correct for differences in the five studies,
while controlling for the effect of CRC versus control (variable
study_condition in CRC_meta).
adjust_batch returns a list of multiple outputs. The part we are most interested in now is the adjusted abundance table, which we assign to CRC_abd_adj.
fit_adjust_batch <- adjust_batch(feature_abd = CRC_abd,
batch = "studyID",
covariates = "study_condition",
data = CRC_meta,
control = list(verbose = FALSE))
CRC_abd_adj <- fit_adjust_batch$feature_abd_adjOne way to evaluate the effect of batch adjustment is to assess the total
variability in microbial profiles attributable to study differences, before
and after adjustment. This is commonly known as a PERMANOVA test
(Tang, Chen, and Alekseyenko 2016), and can be performed with the adonis function in
vegan. The inputs to adonis() are indices of microbial compositional dissimilarity.
library(vegan, quietly = TRUE)## This is vegan 2.6-2D_before <- vegdist(t(CRC_abd))
D_after <- vegdist(t(CRC_abd_adj))
set.seed(1)
fit_adonis_before <- adonis(D_before ~ studyID, data = CRC_meta)## 'adonis' will be deprecated: use 'adonis2' insteadfit_adonis_after <- adonis(D_after ~ studyID, data = CRC_meta)## 'adonis' will be deprecated: use 'adonis2' insteadprint(fit_adonis_before)## $aov.tab
## Permutation: free
## Number of permutations: 999
##
## Terms added sequentially (first to last)
##
## Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
## studyID 4 13.36 3.3400 11.855 0.07991 0.001 ***
## Residuals 546 153.82 0.2817 0.92009
## Total 550 167.18 1.00000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## $call
## adonis(formula = D_before ~ studyID, data = CRC_meta)
##
## $coefficients
## NULL
##
## $coef.sites
## [,1] [,2] [,3] [,4] [,5]
## (Intercept) 0.73079021 0.73169710 0.67250197 0.71605766 0.87336982
## studyID1 -0.04650105 -0.05934101 -0.06594520 -0.06916387 -0.04021647
## studyID2 -0.00960596 -0.01371390 -0.03127853 -0.04307342 -0.03532331
## studyID3 0.02492831 0.04299113 0.04968915 0.05007428 0.03897483
## studyID4 0.04102015 0.05598628 0.06354195 0.05829726 0.01373265
## [,6] [,7] [,8] [,9] [,10]
## (Intercept) 0.81329886 0.81982224 0.73286735 0.78795958 0.718324115
## studyID1 -0.06606706 -0.06650828 -0.06564355 -0.02205305 -0.046024930
## studyID2 -0.08502468 -0.03441529 -0.02623755 0.01814369 -0.003884227
## studyID3 0.06316730 0.05626508 0.05089622 -0.01825356 0.030691234
## studyID4 0.06503457 0.01587392 0.05786061 0.04961928 0.042904667
## [,11] [,12] [,13] [,14] [,15]
## (Intercept) 0.80541742 0.74132526 0.81710867 0.70795368 0.721987895
## studyID1 -0.04460555 -0.06188606 -0.07769478 -0.06250423 -0.068106124
## studyID2 0.01220036 0.01875803 -0.05734103 -0.02216895 -0.006623936
## studyID3 0.01853294 0.04324277 0.06442456 0.04787200 0.054217648
## studyID4 0.03508235 0.02154179 0.05558636 0.05359530 0.046021767
## [,16] [,17] [,18] [,19] [,20]
## (Intercept) 0.724763708 0.720709017 0.672344562 0.71879976 0.895069059
## studyID1 -0.041082155 -0.035945836 -0.018436077 -0.06847191 -0.026249117
## studyID2 0.020627539 0.029309877 0.026937828 -0.03286930 -0.008244704
## studyID3 0.009723736 -0.001863847 -0.007697855 0.05935282 0.019125882
## studyID4 0.046894057 0.040465859 0.039474956 0.05279717 0.015141685
## [,21] [,22] [,23] [,24] [,25]
## (Intercept) 0.70756159 0.859500463 0.73328228 0.87519251 0.78299716
## studyID1 -0.05207004 -0.040599238 -0.05130487 -0.06684140 -0.05570987
## studyID2 -0.03011202 -0.007236002 -0.05926688 -0.08763684 -0.08594157
## studyID3 0.02522928 0.036264028 0.05736280 0.06364694 0.07279483
## studyID4 0.06258455 -0.006517003 0.06319105 0.05981534 0.05848022
## [,26] [,27] [,28] [,29] [,30]
## (Intercept) 0.771194232 0.8417765012 0.708021213 0.74377429 0.80849317
## studyID1 -0.017877210 -0.0106373488 -0.056646978 -0.07045906 -0.06066943
## studyID2 0.006939035 0.0001720459 -0.008973142 -0.02893134 -0.05444733
## studyID3 0.008722146 -0.0009377920 0.037542927 0.06679191 0.06578068
## studyID4 0.010417212 0.0079291615 0.055077315 0.05305715 0.02607388
## [,31] [,32] [,33] [,34] [,35]
## (Intercept) 0.71096718 0.69937360 0.76646105 0.74107280 0.86080198
## studyID1 -0.08845056 -0.03262021 -0.07528971 -0.07232102 -0.07844225
## studyID2 -0.04830991 -0.03166673 -0.05595873 -0.07686114 -0.06609542
## studyID3 0.07345477 0.02174366 0.08403542 0.05670457 0.07321199
## studyID4 0.07208015 0.05820521 0.04970911 0.08259909 0.04108775
## [,36] [,37] [,38] [,39] [,40]
## (Intercept) 0.78485725 0.800353766 0.704317814 0.92518344 0.83096071
## studyID1 -0.07333451 -0.056877041 -0.059797497 -0.03717469 -0.09603239
## studyID2 -0.05788121 0.002084871 -0.002982447 -0.05980681 -0.06391249
## studyID3 0.07346187 0.046572844 0.032124676 0.03932895 0.08549132
## studyID4 0.04363908 0.035348179 0.042422987 0.02967674 0.04152928
## [,41] [,42] [,43] [,44] [,45]
## (Intercept) 0.86297220 0.72008343 0.7313460116 0.71515575 0.79402504
## studyID1 -0.02388482 -0.07173788 -0.0551093488 -0.07667420 -0.07120255
## studyID2 -0.01261734 -0.02623695 0.0003176773 -0.04030231 -0.07345587
## studyID3 0.02123076 0.05185719 0.0302679496 0.05886874 0.08452398
## studyID4 0.01485437 0.04856036 0.0486806985 0.07236564 0.04980713
## [,46] [,47] [,48] [,49] [,50]
## (Intercept) 0.79260432 0.726271016 0.83968414 0.73822097 0.76117565
## studyID1 -0.02275113 -0.018876038 -0.08818953 -0.09150021 -0.06949635
## studyID2 -0.02336605 0.033852323 -0.06934655 -0.06016353 -0.03795612
## studyID3 0.02077102 -0.003122252 0.07774874 0.08960851 0.05308874
## studyID4 0.03842737 0.007322358 0.04505643 0.05939020 0.05746601
## [,51] [,52] [,53] [,54] [,55]
## (Intercept) 0.749070788 0.72697936 0.70576051 0.731044308 0.71943910
## studyID1 -0.063512440 0.01976501 -0.03196234 -0.021915063 0.01711574
## studyID2 -0.007770849 0.08188655 0.03553587 0.057838550 0.07046869
## studyID3 0.051363240 -0.07090027 -0.01059085 -0.004548161 -0.06218881
## studyID4 0.036364110 0.01847215 0.04447515 0.004757544 0.02044711
## [,56] [,57] [,58] [,59] [,60]
## (Intercept) 0.694065903 0.81303818 0.772502057 0.73428510 0.768794266
## studyID1 0.005234712 -0.06509352 -0.005494334 -0.05623724 0.004823975
## studyID2 0.053840632 -0.02093313 0.057817276 0.01775326 0.060426824
## studyID3 -0.043458657 0.05468430 -0.016655197 0.03359785 -0.023974653
## studyID4 0.031578033 0.01309589 0.007840420 0.03530259 -0.013059033
## [,61] [,62] [,63] [,64] [,65]
## (Intercept) 0.75626581 0.722256668 0.79659272 0.685174699 0.86626059
## studyID1 -0.05678635 -0.024938712 -0.09783138 -0.045447647 -0.06679431
## studyID2 -0.01561288 0.009244992 -0.07768845 0.008441395 -0.06580121
## studyID3 0.03527453 -0.006813713 0.09050681 0.023880020 0.06123799
## studyID4 0.03703963 0.042379681 0.06036836 0.046491536 0.05473607
## [,66] [,67] [,68] [,69] [,70]
## (Intercept) 0.777973326 0.78532602 0.88617622 0.83138145 0.73208252
## studyID1 -0.040295795 -0.08423483 -0.04513834 -0.07048073 -0.04715621
## studyID2 -0.003152472 -0.04133572 -0.05296109 -0.06436904 -0.01543188
## studyID3 0.032365434 0.05571800 0.04345632 0.06168232 0.04105149
## studyID4 0.010984746 0.05486906 0.03720312 0.05352999 0.04101541
## [,71] [,72] [,73] [,74] [,75]
## (Intercept) 0.79628569 0.74564364 0.82963740 0.85648354 0.69383593
## studyID1 -0.07094938 -0.07820177 -0.06091010 -0.03302957 -0.08101647
## studyID2 -0.05341591 -0.01400483 -0.03722800 -0.07863538 -0.03510021
## studyID3 0.07510932 0.04600772 0.04419435 0.03720027 0.07220052
## studyID4 0.04982367 0.04899550 0.04269845 0.04971100 0.05154065
## [,76] [,77] [,78] [,79] [,80]
## (Intercept) 0.75828594 0.75491616 0.698578632 0.71157823 0.77634439
## studyID1 -0.03301151 -0.08926200 -0.038956950 -0.06451718 -0.07306696
## studyID2 0.01419652 -0.07095628 -0.004039631 -0.05402490 -0.09068076
## studyID3 0.01375530 0.08008457 0.021096937 0.04064663 0.06680122
## studyID4 0.03589495 0.05303716 0.054663702 0.06717357 0.07333525
## [,81] [,82] [,83] [,84] [,85]
## (Intercept) 0.777293438 0.707326451 0.77954551 0.7802628525 0.66377100
## studyID1 -0.022893174 0.007955915 -0.08892851 -0.0425010403 -0.03926263
## studyID2 0.009733795 0.032999077 -0.08597623 -0.0002989762 0.01150328
## studyID3 0.005883467 -0.043341692 0.08030758 0.0214859831 0.02283625
## studyID4 0.025757777 0.041900817 0.07176992 0.0288836445 0.03899032
## [,86] [,87] [,88] [,89] [,90]
## (Intercept) 0.73669370 0.68960159 0.794915405 0.950799505 0.681536133
## studyID1 -0.03100328 -0.05170864 0.011331421 -0.016988756 -0.006895492
## studyID2 0.03664492 -0.03463017 0.061178294 0.009956535 0.026448393
## studyID3 -0.01282797 0.04358591 -0.042648962 0.019935263 -0.019573161
## studyID4 0.03402930 0.06514813 -0.001067148 -0.025480966 0.035698698
## [,91] [,92] [,93] [,94] [,95]
## (Intercept) 0.77602797 0.75948032 0.74452823 0.82434660 0.766827710
## studyID1 -0.05309490 -0.05176798 -0.03932661 0.01497277 -0.001158024
## studyID2 -0.03280113 -0.07596665 0.03024806 0.05021643 0.053123917
## studyID3 0.05570932 0.04411548 0.01288461 -0.03264135 -0.022119364
## studyID4 0.03438912 0.07280730 0.03467307 -0.01740109 0.013140741
## [,96] [,97] [,98] [,99] [,100]
## (Intercept) 0.712164253 0.68855076 0.91005652 0.73466358 0.801902555
## studyID1 -0.027419866 -0.05033480 0.01390922 -0.02785560 0.033705550
## studyID2 0.034792148 -0.01435342 0.03792887 0.03455838 0.075986951
## studyID3 -0.001555805 0.03420867 -0.02364997 0.00511634 -0.055487366
## studyID4 0.023490094 0.05519212 -0.02176136 0.02956285 -0.009838992
## [,101] [,102] [,103] [,104] [,105]
## (Intercept) 0.781736304 0.78470581 0.752959053 0.71527754 0.685495223
## studyID1 -0.008643686 -0.06499234 0.004529713 -0.02264534 -0.015899240
## studyID2 -0.001231803 -0.04997590 0.060904611 0.04840013 0.035258528
## studyID3 -0.001193747 0.05255167 -0.057032177 -0.02385522 -0.008106758
## studyID4 0.018165833 0.04364129 0.033806568 0.03802453 0.034055285
## [,106] [,107] [,108] [,109] [,110]
## (Intercept) 0.79704542 0.7476354715 0.72111791 0.74695645 0.72165720
## studyID1 -0.05887184 -0.0356475247 -0.06389942 -0.05570215 -0.07781441
## studyID2 -0.04918143 0.0432040379 -0.09603090 -0.07286121 -0.07607202
## studyID3 0.04163504 0.0008598003 0.07388893 0.04790138 0.07363142
## studyID4 0.05266070 0.0313708648 0.07630438 0.07245070 0.07816349
## [,111] [,112] [,113] [,114] [,115]
## (Intercept) 0.80376501 0.76485120 0.81705387 0.82875081 0.80888621
## studyID1 -0.03805225 -0.02853643 -0.06342763 -0.02479917 -0.05067841
## studyID2 -0.09440377 -0.08578968 -0.10403666 -0.04264292 -0.07674822
## studyID3 0.04389452 0.03766355 0.07319994 0.04825242 0.05224949
## studyID4 0.06507869 0.05867997 0.05744107 0.02535254 0.05029131
## [,116] [,117] [,118] [,119] [,120]
## (Intercept) 0.76971559 0.80031381 0.67773592 0.73246771 0.920199444
## studyID1 -0.05726148 -0.01170429 -0.03978420 -0.05820645 -0.028635255
## studyID2 -0.09743218 -0.01860063 -0.02546947 -0.04608215 -0.014936005
## studyID3 0.06492941 0.00194482 0.03810171 0.04225766 0.030722022
## studyID4 0.07369688 0.04404772 0.05253060 0.05933272 -0.005775329
## [,121] [,122] [,123] [,124] [,125]
## (Intercept) 0.68638903 0.74277049 0.780366701 0.84852196 0.83508932
## studyID1 -0.04756543 -0.04507123 0.032484028 -0.01992758 -0.03278101
## studyID2 -0.06305348 -0.08707295 0.052365326 -0.04831042 -0.06898793
## studyID3 0.03784268 0.05214563 -0.049904528 0.04916471 0.05139544
## studyID4 0.07826084 0.06800002 -0.004362564 0.02194964 0.04074096
## [,126] [,127] [,128] [,129] [,130]
## (Intercept) 0.78281381 0.75122135 0.792906692 0.83061435 0.798174004
## studyID1 -0.08509840 -0.02563372 -0.006544456 -0.04042636 -0.016895820
## studyID2 -0.08089636 -0.06752592 -0.041371329 -0.09332218 0.008896812
## studyID3 0.07030577 0.04444490 0.020335893 0.05096549 0.022737650
## studyID4 0.07182748 0.03768099 0.029886048 0.05842652 0.001178961
## [,131] [,132] [,133] [,134] [,135]
## (Intercept) 0.83279134 0.77055119 0.79529298 0.770212949 0.72206627
## studyID1 -0.03249894 -0.05588641 -0.05984101 -0.007717136 -0.05108420
## studyID2 -0.05773611 -0.08000431 -0.12272278 -0.010835321 -0.03357562
## studyID3 0.05325093 0.05443385 0.07289155 -0.000998961 0.03014400
## studyID4 0.03028466 0.07123756 0.07880640 0.029770078 0.06290951
## [,136] [,137] [,138] [,139] [,140]
## (Intercept) 0.75355176 0.83987608 0.847922993 0.79849576 0.92122930
## studyID1 -0.06817237 -0.02073558 -0.002821352 -0.05508997 -0.02119358
## studyID2 -0.06984181 -0.08529225 -0.037713415 -0.11206922 -0.04029185
## studyID3 0.06816916 0.04050336 0.018295576 0.06339148 0.03103680
## studyID4 0.06584446 0.04657688 0.023198334 0.07648358 0.01416995
## [,141] [,142] [,143] [,144] [,145]
## (Intercept) 0.84593727 0.75386138 0.83072791 0.7803245723 0.686251922
## studyID1 -0.05232514 -0.05912919 -0.03626404 -0.0003778756 -0.033634340
## studyID2 -0.06891652 -0.09959083 -0.05574077 -0.0544661698 -0.006883302
## studyID3 0.06898300 0.07138559 0.04885793 0.0169098751 0.019621776
## studyID4 0.02641112 0.07453646 0.03060486 0.0398302336 0.047577855
## [,146] [,147] [,148] [,149] [,150]
## (Intercept) 0.994295658 0.75868056 0.736998188 0.80239349 0.83173664
## studyID1 0.003451089 -0.02898948 -0.008159385 -0.03713639 -0.02606258
## studyID2 -0.015622424 -0.02856729 -0.019327971 -0.08909527 -0.06267844
## studyID3 0.003596713 0.03142790 0.002786653 0.05194675 0.04593685
## studyID4 0.003970668 0.04048312 0.041452881 0.04941341 0.04592758
## [,151] [,152] [,153] [,154] [,155]
## (Intercept) 0.782046892 0.81196458 0.79575816 0.73825550 0.843025117
## studyID1 -0.043069017 -0.05438111 -0.02951726 -0.04254188 -0.009436994
## studyID2 -0.008739537 -0.09779982 -0.05008811 -0.06056540 -0.022774398
## studyID3 0.044882269 0.05155191 0.04039248 0.04223618 0.018865208
## studyID4 0.002232043 0.07168154 0.03369622 0.05826491 0.021294190
## [,156] [,157] [,158] [,159] [,160]
## (Intercept) 0.79523046 0.73211776 0.77865978 0.82731504 0.76432948
## studyID1 -0.06857357 -0.01804602 -0.02529721 -0.02367187 -0.07360264
## studyID2 -0.08933196 -0.02811177 -0.02488022 -0.06623715 -0.09670566
## studyID3 0.07264554 0.02356965 0.02124910 0.03947351 0.07008423
## studyID4 0.06070180 0.03608354 0.02148352 0.04059750 0.07288417
## [,161] [,162] [,163] [,164] [,165]
## (Intercept) 0.79564785 0.73324266 0.758657047 0.69862421 0.714064515
## studyID1 -0.06535233 -0.06967413 0.025088565 0.01481867 0.041141330
## studyID2 -0.06614586 -0.08815011 0.077507570 0.06935767 0.089172417
## studyID3 0.05231728 0.08371340 -0.045735613 -0.06501500 -0.084825904
## studyID4 0.06738471 0.07203452 -0.000632023 0.02831324 0.007365147
## [,166] [,167] [,168] [,169] [,170]
## (Intercept) 0.76206464 0.69860888 0.77912882 0.698783645 0.82970887
## studyID1 0.02741100 0.03114449 -0.00501328 0.026544742 0.04109193
## studyID2 0.04006648 0.08525124 0.02165157 0.073625804 0.08265927
## studyID3 -0.04632842 -0.07886944 -0.01017500 -0.067234723 -0.08154781
## studyID4 0.01071271 0.01472883 0.02621444 0.008789267 -0.01040782
## [,171] [,172] [,173] [,174] [,175]
## (Intercept) 0.764641487 0.7356837772 0.744862251 0.775706509 0.810909528
## studyID1 0.042384227 0.0356374376 0.009463761 0.015534162 0.011373870
## studyID2 0.082714735 0.0886933975 0.052189091 0.078354462 0.037722101
## studyID3 -0.083227855 -0.0764565172 -0.058018657 -0.054587554 -0.037483874
## studyID4 0.002158582 -0.0009766411 0.033569569 0.002091334 0.009965189
## [,176] [,177] [,178] [,179] [,180]
## (Intercept) 0.7775252965 0.70429697 0.73841259 0.819011698 0.79706231
## studyID1 0.0292088525 0.02380675 0.03737010 0.050111631 0.02285301
## studyID2 0.0724397253 0.06884931 0.04325429 0.071469049 0.06301956
## studyID3 -0.0633031869 -0.07361300 -0.05224203 -0.080042502 -0.06611550
## studyID4 -0.0002772396 0.02541665 0.00889166 -0.005854619 0.01108291
## [,181] [,182] [,183] [,184] [,185]
## (Intercept) 0.76555024 0.78894548 0.74058702 0.78033520 0.75240567
## studyID1 0.02782296 0.02334291 0.02485266 0.03419271 -0.01040240
## studyID2 0.04326448 0.07341098 0.07560952 0.07847625 0.03456229
## studyID3 -0.06362446 -0.04953065 -0.08095002 -0.05784425 -0.01802667
## studyID4 0.02773763 -0.01370129 0.02881716 -0.02204520 0.02404203
## [,186] [,187] [,188] [,189] [,190]
## (Intercept) 0.76184893 0.74562464 0.79481905 0.73666716 0.77699131
## studyID1 0.02316424 0.01300995 0.01311017 0.01990124 0.02250412
## studyID2 0.06645627 0.07078697 0.02896525 0.08232580 0.03360150
## studyID3 -0.07134436 -0.07239505 -0.04351122 -0.06967543 -0.06524106
## studyID4 0.01954875 0.03792472 0.02490085 0.01937233 0.03486877
## [,191] [,192] [,193] [,194] [,195]
## (Intercept) 0.775217415 0.775475775 0.82235502 0.758840329 0.70901594
## studyID1 0.038483677 0.020299882 0.02982408 0.036905538 0.02519451
## studyID2 0.077799503 0.050522053 0.04794190 0.097783611 0.04131071
## studyID3 -0.074604454 -0.041432545 -0.05485628 -0.087619834 -0.04996353
## studyID4 -0.002690892 -0.008773986 -0.00423774 -0.002482536 0.01642108
## [,196] [,197] [,198] [,199] [,200]
## (Intercept) 0.81903201 0.88524873 0.77016445 0.733025530 0.876775647
## studyID1 0.01679739 0.03130816 0.03748650 0.025141157 0.012671588
## studyID2 0.04569094 0.05653915 0.08188104 0.081038250 0.038936590
## studyID3 -0.04498943 -0.04887649 -0.07065736 -0.063241828 -0.031265910
## studyID4 0.01115081 -0.02015299 -0.01336101 0.003778427 0.003450027
## [,201] [,202] [,203] [,204] [,205]
## (Intercept) 0.773517426 0.76378802 0.951177126 0.76356473 0.78018506
## studyID1 0.007470932 0.02549457 -0.009162603 0.02662610 0.02868409
## studyID2 0.044019814 0.06914398 0.007089474 0.05552701 0.08186201
## studyID3 -0.036129778 -0.07139962 0.014998298 -0.07152779 -0.06400866
## studyID4 0.012241984 0.01577540 -0.025801599 0.02559676 -0.01136175
## [,206] [,207] [,208] [,209] [,210]
## (Intercept) 0.720112590 0.728136875 0.763896346 0.76201136 0.794435249
## studyID1 0.020681357 0.028010272 0.035473809 0.02173940 0.027908466
## studyID2 0.071999798 0.090634825 0.051681852 0.05765803 0.055201003
## studyID3 -0.058913382 -0.072371889 -0.055738167 -0.05997691 -0.054965426
## studyID4 0.008411493 0.000546931 -0.001679232 0.01984153 -0.008140277
## [,211] [,212] [,213] [,214] [,215]
## (Intercept) 0.81979395 0.77153796 0.865552537 0.743255122 0.733381736
## studyID1 0.03665432 0.04867535 0.008489117 0.040284248 0.030216863
## studyID2 0.04169193 0.09263218 0.006723492 0.082544495 0.089361305
## studyID3 -0.06357510 -0.08946286 -0.016496481 -0.077757416 -0.072474031
## studyID4 0.01163249 -0.00754092 0.004549845 -0.002194441 0.001945239
## [,216] [,217] [,218] [,219] [,220]
## (Intercept) 0.89719012 0.78089858 0.752672646 0.795408658 0.73734464
## studyID1 0.02948947 0.03385431 0.021925201 0.029604556 0.04290687
## studyID2 0.04953959 0.06988377 0.066726813 0.065357214 0.06669654
## studyID3 -0.04684169 -0.05833295 -0.050587143 -0.069257572 -0.07352216
## studyID4 -0.01720812 -0.01448554 0.000130078 0.007863647 0.01095949
## [,221] [,222] [,223] [,224] [,225]
## (Intercept) 0.919312099 0.8009581313 7.293674e-01 0.760452645 0.77283996
## studyID1 -0.004279109 0.0292589246 -3.939838e-02 0.030166421 0.04011954
## studyID2 0.004189207 0.0592186935 2.978391e-02 0.079133838 0.09499224
## studyID3 -0.003927197 -0.0655441570 9.741688e-05 -0.066293505 -0.07656536
## studyID4 0.002805455 -0.0006004025 2.969480e-02 -0.002267913 -0.01625933
## [,226] [,227] [,228] [,229] [,230]
## (Intercept) 0.837279815 0.76991515 0.740371580 0.818812436 0.72328916
## studyID1 0.046936537 0.01341897 0.025146752 0.028142488 -0.01659046
## studyID2 0.068395358 0.04532426 0.061559751 0.040986706 0.02871084
## studyID3 -0.078366067 -0.06224187 -0.047851959 -0.045138412 -0.01378762
## studyID4 -0.007069053 0.03482884 -0.001024127 -0.005709594 0.03752692
## [,231] [,232] [,233] [,234] [,235]
## (Intercept) 0.73155192 0.70949444 0.751551249 0.70939691 0.82038588
## studyID1 0.02268160 0.01036654 0.005348565 0.01811432 0.03047050
## studyID2 0.04645105 0.04777978 0.060524096 0.06999908 0.06160105
## studyID3 -0.06511525 -0.03777662 -0.048891561 -0.06363103 -0.07356698
## studyID4 0.02782818 0.01975608 0.026772364 0.01742128 0.01304736
## [,236] [,237] [,238] [,239] [,240]
## (Intercept) 0.763817622 0.78198513 0.77496846 0.80869258 0.71693752
## studyID1 0.009985327 0.00899530 0.03341714 0.03747458 0.02287115
## studyID2 0.039599920 0.02109572 0.06374854 0.07978300 0.05275479
## studyID3 -0.040113395 -0.02626988 -0.07214931 -0.06301681 -0.05257355
## studyID4 0.018923173 0.01282964 0.01494010 -0.01862391 0.01403267
## [,241] [,242] [,243] [,244] [,245]
## (Intercept) 0.830249142 0.80116258 0.752862537 0.70848136 0.929628042
## studyID1 -0.011841971 0.02201877 0.035653036 0.03041748 0.020699917
## studyID2 0.032503668 0.06345380 0.092280653 0.08154758 0.024617634
## studyID3 -0.005084079 -0.06542867 -0.084337759 -0.07872781 -0.029907594
## studyID4 0.004441175 0.02151126 0.008281907 0.01890732 -0.008424437
## [,246] [,247] [,248] [,249] [,250]
## (Intercept) 0.77095333 0.823750139 0.76646205 0.690308309 0.74595045
## studyID1 0.03064689 0.024172255 0.02638330 0.002955562 0.01863070
## studyID2 0.06320349 0.054321062 0.05383868 0.046553511 0.07422568
## studyID3 -0.07377868 -0.049669748 -0.06315695 -0.040819611 -0.05783279
## studyID4 0.01438112 -0.009076041 0.01328449 0.025042445 0.01820590
## [,251] [,252] [,253] [,254] [,255]
## (Intercept) 0.68211183 0.714891524 0.75577272 0.804446870 0.813340799
## studyID1 -0.02318971 0.009508865 0.02640145 0.034653687 0.012705617
## studyID2 0.06022882 0.068352138 0.04948395 0.069363901 0.052102025
## studyID3 -0.02166162 -0.057403790 -0.05508302 -0.072284814 -0.042003353
## studyID4 0.03161894 0.025058696 0.01107951 0.001291682 0.007612096
## [,256] [,257] [,258] [,259] [,260]
## (Intercept) 0.71431541 0.74343698 0.75913332 0.719306761 0.71682425
## studyID1 0.02829487 0.03159644 0.02816117 0.002432742 0.01855319
## studyID2 0.07311488 0.05627212 0.06921216 0.067960680 0.07827029
## studyID3 -0.06980319 -0.06556969 -0.07131701 -0.048902883 -0.06401136
## studyID4 0.01468102 0.02861709 0.01652813 0.018417019 0.01704000
## [,261] [,262] [,263] [,264] [,265]
## (Intercept) 0.84422405 0.6898202085 0.76157711 0.752370882 0.878952965
## studyID1 0.04569043 0.0002687865 0.02284337 0.010344882 0.003680280
## studyID2 0.08079096 0.0680696337 0.05088330 0.070107144 0.008995664
## studyID3 -0.07762354 -0.0431904470 -0.05163283 -0.056760973 -0.016680545
## studyID4 -0.02121520 0.0230005194 0.01441105 0.004976764 0.012146705
## [,266] [,267] [,268] [,269] [,270]
## (Intercept) 0.857285575 0.769614563 0.78851638 0.83388525 0.768343122
## studyID1 0.009194762 -0.006674724 0.03207236 -0.05609380 -0.015169156
## studyID2 0.007187361 0.012171909 0.04942985 -0.02356836 0.033808478
## studyID3 -0.025768620 0.005043750 -0.02880675 0.04708957 0.014449195
## studyID4 0.022094319 0.004764073 -0.02533376 0.02380204 -0.003291337
## [,271] [,272] [,273] [,274] [,275]
## (Intercept) 0.775097575 0.88864635 0.82427868 0.89875222 0.84139954
## studyID1 0.004143031 0.02145986 -0.02849903 0.03095694 0.03411916
## studyID2 0.049359465 0.03536371 -0.01609251 0.02193190 0.06888598
## studyID3 -0.018152645 -0.02532572 0.05915309 -0.01932814 -0.04810339
## studyID4 -0.014342458 -0.01589591 -0.01022578 -0.02436261 -0.03604400
## [,276] [,277] [,278] [,279] [,280]
## (Intercept) 0.81489939 0.83599043 0.82811115 0.800744411 0.78554751
## studyID1 0.02474405 0.01464060 0.03020380 0.003740254 0.02190307
## studyID2 0.04868097 0.05309238 0.07477849 0.063136280 0.03450770
## studyID3 -0.02581139 -0.01995640 -0.04240173 -0.020612076 -0.01226889
## studyID4 -0.03027584 -0.03579445 -0.03439616 -0.030614352 -0.03443260
## [,281] [,282] [,283] [,284] [,285]
## (Intercept) 0.87078112 0.80161103 0.819581286 0.90013419 0.81937970
## studyID1 0.03184734 -0.05699026 0.020635506 0.01236438 0.02559403
## studyID2 0.03463080 -0.02915175 0.029018972 0.03803109 0.05132595
## studyID3 -0.03070855 0.07110286 -0.024770864 -0.01055298 -0.02983041
## studyID4 -0.02502824 0.01476219 -0.006930657 -0.03325448 -0.03089382
## [,286] [,287] [,288] [,289] [,290]
## (Intercept) 0.88305230 0.833142203 0.829507137 0.85971400 0.892126683
## studyID1 -0.01018812 -0.000736515 0.006065787 0.03547778 -0.015216408
## studyID2 -0.02929212 0.035324935 0.026086503 0.05628617 0.008503198
## studyID3 0.02264146 0.012843149 -0.011251936 -0.03618365 0.022223667
## studyID4 0.01497964 -0.040627483 -0.016913956 -0.03648419 -0.021859625
## [,291] [,292] [,293] [,294] [,295]
## (Intercept) 0.77457812 0.83346289 0.774097674 0.790703726 0.80766938
## studyID1 0.02467280 0.03589345 -0.022816674 -0.024105622 -0.01666685
## studyID2 0.07570170 0.04770027 0.035220274 0.027070278 -0.05650662
## studyID3 -0.02891056 -0.04391389 0.013225757 0.015225074 0.03960652
## studyID4 -0.03618303 -0.02240439 -0.004531518 -0.005067104 0.02051915
## [,296] [,297] [,298] [,299] [,300]
## (Intercept) 0.86998797 0.751584083 0.793758231 0.783084750 0.731603029
## studyID1 0.04591000 -0.002705337 -0.024992885 -0.020913008 0.040611838
## studyID2 0.07468108 0.009191078 0.017003316 0.017862296 0.055511251
## studyID3 -0.05273826 0.009894345 0.018783055 0.017905819 -0.062774205
## studyID4 -0.05028962 -0.006737985 -0.004730267 -0.004767464 0.001779538
## [,301] [,302] [,303] [,304] [,305]
## (Intercept) 0.87016107 0.79058890 0.74879774 0.797481106 0.728822394
## studyID1 0.01730287 0.03691538 -0.02328578 0.022884189 0.008971865
## studyID2 0.03613738 0.06390194 0.02786126 0.035804964 0.061830036
## studyID3 -0.02140341 -0.04597544 0.01155486 -0.029526230 -0.025523167
## studyID4 -0.02473712 -0.03381870 0.01316431 0.001568224 -0.011301874
## [,306] [,307] [,308] [,309] [,310]
## (Intercept) 0.787528886 0.84031012 0.7706429751 0.79872583 0.71252781
## studyID1 -0.003607337 0.02401393 0.0009341721 0.03692195 -0.04813534
## studyID2 -0.011832843 0.06382851 0.0290290758 0.05459794 0.02807707
## studyID3 0.005065909 -0.03285835 0.0171577252 -0.04110413 0.03427317
## studyID4 0.011558535 -0.03408249 -0.0269871893 -0.02307477 0.01317112
## [,311] [,312] [,313] [,314] [,315]
## (Intercept) 0.779882526 0.7339964125 0.77745712 0.694296807 0.84766215
## studyID1 -0.025823266 0.0037988248 0.04080740 -0.012374933 0.01442969
## studyID2 0.007134511 0.0666071249 0.08290731 0.029006841 0.02367997
## studyID3 0.019111803 -0.0281344862 -0.05504365 0.001708666 -0.01677443
## studyID4 0.004397211 0.0007925347 -0.04218851 0.020623248 -0.02242491
## [,316] [,317] [,318] [,319] [,320]
## (Intercept) 0.945105260 0.718574497 0.81812601 0.902169610 0.794449303
## studyID1 -0.012583092 0.029363033 0.02351454 0.005904420 -0.016198969
## studyID2 0.008253078 0.065744599 0.05745321 0.013894874 0.033127377
## studyID3 0.021616989 -0.054113230 -0.03644015 0.005067076 0.004555850
## studyID4 -0.032086153 -0.002738664 -0.02822154 -0.031919290 -0.006932786
## [,321] [,322] [,323] [,324] [,325]
## (Intercept) 0.74783111 0.75247801 0.85395209 0.77455139 0.8958695359
## studyID1 -0.05706913 0.04179512 0.04276247 -0.01428122 -0.0035184493
## studyID2 0.01785964 0.08452324 0.06348240 0.04577113 0.0284474475
## studyID3 0.04274130 -0.06319505 -0.04843983 0.01665750 0.0004368222
## studyID4 0.01599446 -0.02837031 -0.04068804 -0.02600643 -0.0208833856
## [,326] [,327] [,328] [,329] [,330]
## (Intercept) 0.80434904 0.717536037 0.722218762 0.8189426312 0.722206578
## studyID1 0.01603516 0.005165708 0.014334102 0.0006278693 0.004701180
## studyID2 0.05039727 0.061868812 0.040524773 0.0372456852 0.052228871
## studyID3 -0.02269172 -0.009229701 -0.023251479 -0.0082735387 -0.020857193
## studyID4 -0.02047167 -0.012178876 -0.003506182 -0.0238203977 -0.006831181
## [,331] [,332] [,333] [,334] [,335]
## (Intercept) 0.81167785 0.786044405 0.796416828 0.7795027127 0.767715719
## studyID1 0.03149773 0.002308984 0.017955804 0.0002811639 -0.037951163
## studyID2 0.08221579 0.047295947 0.045537541 0.0489634309 0.011457508
## studyID3 -0.04984094 -0.016987897 -0.006474689 0.0108910357 0.043772614
## studyID4 -0.03194586 -0.005847084 -0.027033747 -0.0358620555 0.006349858
## [,336] [,337] [,338] [,339] [,340]
## (Intercept) 0.762183965 0.724952341 0.7451600506 0.6823345627 0.844520817
## studyID1 -0.040146220 0.024826961 -0.0078580478 -0.0158146493 0.001125325
## studyID2 0.027598441 0.069473080 0.0644824071 0.0113435811 0.042667603
## studyID3 0.030354234 -0.056157438 0.0007031798 0.0002872127 0.009926702
## studyID4 0.001197908 0.002072715 -0.0287077914 0.0288302158 -0.033992940
## [,341] [,342] [,343] [,344] [,345]
## (Intercept) 0.697107368 0.86865701 0.776067851 0.77718442 0.812484595
## studyID1 0.016231274 0.02877342 0.001547535 0.01633404 0.015818858
## studyID2 0.068937950 0.05385554 0.029319677 0.06999256 0.052880051
## studyID3 -0.036315572 -0.02249164 -0.005377371 -0.03581575 -0.008391383
## studyID4 0.004030687 -0.04148630 -0.007594990 -0.01736160 -0.047274683
## [,346] [,347] [,348] [,349] [,350]
## (Intercept) 0.7640295916 0.76795357 0.742150585 0.75644260 0.736912909
## studyID1 0.0002608535 0.04505554 0.006489672 0.01049444 0.027963380
## studyID2 0.0279280350 0.09670415 0.079823263 0.06777800 0.071836656
## studyID3 -0.0042255274 -0.06663694 -0.028394722 -0.02665025 -0.065071607
## studyID4 -0.0139760024 -0.03057568 -0.007665865 -0.01680212 0.006786251
## [,351] [,352] [,353] [,354] [,355]
## (Intercept) 0.765786442 0.80284316 0.871344367 0.732445406 0.74628071
## studyID1 0.017989790 0.02779058 -0.004602241 0.032957466 0.02265542
## studyID2 0.066309005 0.05105308 0.033620944 0.089602432 0.06713721
## studyID3 -0.035067633 -0.02579492 0.001622183 -0.060922425 -0.03465547
## studyID4 -0.005761592 -0.01969573 -0.032071156 -0.009892056 -0.01765999
## [,356] [,357] [,358] [,359] [,360]
## (Intercept) 0.779374577 0.733990731 0.752619521 0.803690593 0.71978303
## studyID1 0.046062210 0.019858529 0.053102310 0.011845249 0.01105676
## studyID2 0.067342009 0.064489047 0.076740133 0.045366535 0.02920423
## studyID3 -0.062485183 -0.046683079 -0.082881891 -0.006174756 -0.02174212
## studyID4 -0.006263496 0.002736641 -0.001590062 -0.031145890 0.01304749
## [,361] [,362] [,363] [,364] [,365]
## (Intercept) 0.946684988 0.79641311 0.7462432128 0.896724603 0.853845284
## studyID1 0.002061181 0.02704099 -0.0005650543 0.006848036 -0.010342500
## studyID2 0.010697255 0.03355325 0.0376795454 0.018645202 -0.006765324
## studyID3 0.008929256 -0.02027110 -0.0029862066 -0.006093542 0.018079234
## studyID4 -0.035624641 -0.02114129 -0.0008952213 -0.015860948 -0.012222357
## [,366] [,367] [,368] [,369] [,370]
## (Intercept) 0.77784791 0.80600209 0.73326246 0.81234166 0.810731431
## studyID1 -0.02226897 0.03894387 0.01141714 -0.03764754 0.016766465
## studyID2 0.01857757 0.08403722 0.06837759 -0.03484508 0.033155329
## studyID3 0.03328142 -0.06401881 -0.01734980 0.03774354 -0.018754923
## studyID4 -0.01727324 -0.02109436 -0.02232769 0.02538523 -0.003893008
## [,371] [,372] [,373] [,374] [,375]
## (Intercept) 0.81585951 0.7183436274 0.808581307 0.84935241 0.819413717
## studyID1 0.03240437 0.0273035124 0.001806393 0.03935983 -0.019104588
## studyID2 0.05984491 0.0666742105 0.032388669 0.06997074 -0.026080573
## studyID3 -0.03315300 -0.0520760552 -0.002206643 -0.04615545 0.042478897
## studyID4 -0.03959567 0.0003502657 -0.009950705 -0.03639585 0.009474868
## [,376] [,377] [,378] [,379] [,380]
## (Intercept) 0.7372641808 0.80873902 0.780909166 0.80344637 0.786785669
## studyID1 -0.0001873546 0.02840926 0.012095761 0.03393542 -0.017227932
## studyID2 0.0518379031 0.07443093 0.062490114 0.05646912 -0.009487205
## studyID3 -0.0250936218 -0.04623793 -0.038535002 -0.03349882 0.039150556
## studyID4 0.0023552335 -0.02706743 -0.009435946 -0.02583660 0.002509212
## [,381] [,382] [,383] [,384] [,385]
## (Intercept) 0.86456126 0.77952892 0.83895766 0.85298515 0.75242060
## studyID1 0.04286745 0.03296716 0.04430173 0.04303319 0.03577378
## studyID2 0.06351655 0.08378698 0.08032416 0.06912860 0.04496173
## studyID3 -0.05076778 -0.06484624 -0.06142179 -0.05220005 -0.03143618
## studyID4 -0.04029438 -0.02193542 -0.03055457 -0.03436416 -0.01696261
## [,386] [,387] [,388] [,389] [,390]
## (Intercept) 0.869957543 0.73345881 0.83130598 0.800292039 0.725299909
## studyID1 0.009169024 0.03618691 0.01576982 -0.040769943 0.003949265
## studyID2 0.040626596 0.07567538 0.04827505 -0.003528821 -0.002128863
## studyID3 0.009033573 -0.05017749 -0.02467715 0.043799146 -0.014455729
## studyID4 -0.043130457 -0.02357239 -0.02518621 -0.006386129 0.037671720
## [,391] [,392] [,393] [,394] [,395]
## (Intercept) 0.74988797 0.74457290 0.6893487482 0.832689905 0.702165812
## studyID1 -0.04628611 0.02122099 -0.0001088894 -0.035075780 -0.026030766
## studyID2 -0.02177168 0.07040471 0.0377090494 -0.001479279 0.019995404
## studyID3 0.05435280 -0.03500065 -0.0097536695 0.041888864 -0.004190248
## studyID4 0.02323767 -0.02306096 0.0184070054 -0.020470852 0.045735471
## [,396] [,397] [,398] [,399] [,400]
## (Intercept) 0.83945168 0.699291239 0.73873496 0.700851278 0.666148219
## studyID1 0.02953762 -0.009008707 0.03375150 -0.004950581 -0.020189608
## studyID2 0.07624022 0.028304814 0.05469864 0.032196106 0.031075043
## studyID3 -0.05092099 -0.005774625 -0.05951367 -0.002098953 -0.008624057
## studyID4 -0.01971329 0.033866949 0.02213125 0.026114609 0.047097304
## [,401] [,402] [,403] [,404] [,405]
## (Intercept) 7.897582e-01 0.6799091971 0.808830111 0.719070084 0.712003379
## studyID1 6.960577e-05 -0.0221009123 -0.008944344 -0.017312162 0.009786735
## studyID2 4.364252e-02 0.0292393421 0.036923980 0.004816913 0.071695105
## studyID3 -2.160660e-02 -0.0006298635 0.008451418 -0.003017418 -0.045063299
## studyID4 1.510567e-02 0.0271393432 0.004138461 0.049857442 0.018558514
## [,406] [,407] [,408] [,409] [,410]
## (Intercept) 0.771056824 0.744016336 0.777516506 0.692748755 0.678840276
## studyID1 0.003691062 -0.008090234 0.031896201 0.005781017 -0.025635881
## studyID2 0.044249828 0.058774459 0.052578284 0.046942151 0.015918233
## studyID3 -0.028795115 -0.020729974 -0.044964173 -0.033726646 0.007267168
## studyID4 0.016826971 0.004961282 0.004919753 0.023477624 0.050671552
## [,411] [,412] [,413] [,414] [,415]
## (Intercept) 0.728672367 0.801111862 0.813576233 0.806644881 0.740903094
## studyID1 -0.044676597 0.038917831 -0.007258932 -0.010598981 -0.003073551
## studyID2 -0.005354144 0.073670585 0.030766618 0.009120624 0.006477557
## studyID3 0.031695903 -0.068123569 0.006599163 0.017828427 -0.001293776
## studyID4 0.037792942 -0.000417097 0.009439595 0.015284037 0.022880126
## [,416] [,417] [,418] [,419] [,420]
## (Intercept) 0.76950758 0.9185513140 0.751561121 0.747173435 0.798888810
## studyID1 0.03232658 0.0032445671 -0.022081775 -0.005849462 0.005858569
## studyID2 0.08177263 0.0012902983 0.016637090 0.046509905 0.037803936
## studyID3 -0.06314948 -0.0006865415 0.001984645 -0.018523244 -0.015741226
## studyID4 -0.01251956 0.0033679152 0.026349067 0.006157306 -0.003505027
## [,421] [,422] [,423] [,424] [,425]
## (Intercept) 0.74588011 0.746285373 0.799650880 0.693350221 0.804108383
## studyID1 0.02039598 -0.053075413 -0.050593403 -0.008578326 0.004106392
## studyID2 0.07182336 0.006188479 0.001785762 0.036534607 0.049773928
## studyID3 -0.06385012 0.050310971 0.041615904 -0.017181800 -0.037256592
## studyID4 0.02191466 0.022001909 0.027813490 0.046679111 0.026289350
## [,426] [,427] [,428] [,429] [,430]
## (Intercept) 0.74425821 0.7850377645 0.77685758 0.874383280 7.427147e-01
## studyID1 -0.01788140 -0.0119133844 -0.05066339 0.028957523 2.965202e-05
## studyID2 0.02547895 0.0275229073 -0.02232381 0.029723611 5.802666e-02
## studyID3 -0.00854311 0.0009391663 0.05149927 -0.037223429 -2.177665e-02
## studyID4 0.03341306 0.0222272468 0.04870666 -0.001249419 2.058953e-02
## [,431] [,432] [,433] [,434] [,435]
## (Intercept) 0.84976749 0.8130781647 0.81216062 0.695340352 0.782637326
## studyID1 -0.03907588 0.0018977393 -0.04624368 0.004594381 -0.008692320
## studyID2 -0.02488543 0.0397615474 -0.05340917 0.054151741 0.042859193
## studyID3 0.05862850 -0.0002469969 0.04646356 -0.033917195 -0.005872164
## studyID4 0.01527157 -0.0133397578 0.04592951 0.035063499 0.016844135
## [,436] [,437] [,438] [,439] [,440]
## (Intercept) 0.830634027 0.724219460 0.803724443 0.76600424 0.837445683
## studyID1 0.003700076 -0.019729116 0.011749914 -0.05142296 -0.018938808
## studyID2 0.037174374 0.049707569 0.054836593 -0.02811180 0.014262789
## studyID3 -0.005178159 0.007270035 -0.033117921 0.05192527 0.011493413
## studyID4 -0.024382057 0.014085487 0.001731155 0.02479816 0.008621651
## [,441] [,442] [,443] [,444] [,445]
## (Intercept) 0.745950582 0.80923659 0.721182354 0.8180263766 0.72163765
## studyID1 -0.004252005 0.03917185 -0.024892574 -0.0007579445 0.01731538
## studyID2 0.052258895 0.06353784 0.010298725 0.0300111631 0.09418452
## studyID3 -0.022700005 -0.04675638 0.006192526 -0.0130079935 -0.06533619
## studyID4 0.029516559 -0.02564925 0.051186137 0.0020993686 0.01000201
## [,446] [,447] [,448] [,449] [,450]
## (Intercept) 0.688906548 0.8596210370 0.806981995 0.71336019 0.687788342
## studyID1 -0.014122469 0.0288074761 -0.018940143 0.01432311 0.014615230
## studyID2 0.017481112 0.0298559541 0.013598853 0.06538177 0.063671897
## studyID3 0.004430318 -0.0347233321 0.019462753 -0.03975677 -0.032377761
## studyID4 0.030144107 -0.0009961312 -0.005842216 0.02303492 0.008205139
## [,451] [,452] [,453] [,454] [,455]
## (Intercept) 0.810299106 0.865075277 0.70590504 0.757463907 0.701428554
## studyID1 -0.002154955 0.022420175 -0.02296554 -0.021502849 0.001793737
## studyID2 0.046637024 0.041800581 0.05865546 0.004006560 0.036078983
## studyID3 -0.015309191 -0.036887625 -0.01216706 0.001670128 -0.030049896
## studyID4 0.008501660 -0.005842737 0.02770816 0.034951070 0.040758429
## [,456] [,457] [,458] [,459] [,460]
## (Intercept) 0.708612894 0.761692434 0.676347407 0.764311134 0.729933745
## studyID1 -0.011694074 0.020907581 -0.004511749 -0.008774505 0.009124336
## studyID2 0.026309257 0.056037829 0.035835850 0.057594389 0.052696713
## studyID3 0.007375605 -0.046123713 -0.023412310 -0.030905548 -0.048129804
## studyID4 0.021158940 0.003715777 0.045841697 0.035237175 0.023650527
## [,461] [,462] [,463] [,464] [,465]
## (Intercept) 0.72764925 0.74633071 0.684111517 0.832710542 0.81067492
## studyID1 0.01444856 -0.02942660 -0.011951880 0.010197703 -0.05975306
## studyID2 0.08308315 0.01445299 0.044929584 0.018234345 -0.03946627
## studyID3 -0.05574226 0.01827845 -0.001895898 -0.012775365 0.05699626
## studyID4 0.01321512 0.03555220 0.024417938 0.001329241 0.05252579
## [,466] [,467] [,468] [,469] [,470]
## (Intercept) 0.758634026 0.715710894 0.74002245 0.9142019160 0.777863392
## studyID1 -0.003003013 0.013155696 0.01650803 0.0078506065 0.016593681
## studyID2 0.029412095 0.081928347 0.06204407 0.0095403354 0.072802645
## studyID3 -0.010443842 -0.040255512 -0.04100088 0.0005909371 -0.047498314
## studyID4 0.010677098 0.008049699 0.00704545 0.0002256434 -0.001468372
## [,471] [,472] [,473] [,474] [,475]
## (Intercept) 0.679874232 0.73634847 0.767809674 8.210647e-01 0.75121314
## studyID1 -0.029870873 0.02607450 -0.044601750 5.472864e-03 0.02738022
## studyID2 0.025909941 0.06796663 -0.003774917 1.277730e-02 0.05382670
## studyID3 0.009206168 -0.05549698 0.047920935 -4.550567e-04 -0.06861233
## studyID4 0.049141356 0.01476263 0.022744628 -6.533592e-05 0.03200722
## [,476] [,477] [,478] [,479] [,480]
## (Intercept) 0.683864616 0.875744510 0.736130803 0.729744486 0.753563344
## studyID1 -0.005605218 0.014602432 -0.005361074 -0.018669221 0.005502440
## studyID2 0.044617476 0.023465218 0.057120628 0.015083857 0.050842508
## studyID3 -0.018914048 -0.008454238 -0.012702306 0.006820543 -0.027417071
## studyID4 0.036662991 -0.009775050 0.010888696 0.036042771 0.008662072
## [,481] [,482] [,483] [,484] [,485]
## (Intercept) 0.744437030 7.425506e-01 0.73992176 0.7244169889 0.74050190
## studyID1 -0.018037874 -4.428348e-05 0.01244645 -0.0001935564 -0.02455606
## studyID2 0.050315685 5.104708e-02 0.06684344 0.0142263570 0.03162279
## studyID3 0.014884367 -2.566240e-02 -0.04833190 -0.0330110399 0.01527841
## studyID4 0.001217342 1.686975e-02 0.01795061 0.0487775489 0.01344153
## [,486] [,487] [,488] [,489] [,490]
## (Intercept) 0.73060590 0.72146498 0.76024346 0.75035138 0.749890332
## studyID1 -0.01318728 -0.04379858 0.02096242 -0.03268324 0.023204378
## studyID2 0.04924534 -0.03492104 0.07020008 -0.00793699 0.084149140
## studyID3 -0.01180934 0.04248216 -0.06366889 0.03432892 -0.061944500
## studyID4 0.02965500 0.05833628 0.03066558 0.04501529 0.001704515
## [,491] [,492] [,493] [,494] [,495]
## (Intercept) 0.752555830 0.853583542 0.75308582 8.541475e-01 0.83694979
## studyID1 0.003415827 0.027704938 -0.01331162 1.833433e-03 0.03537389
## studyID2 0.034048485 0.047558493 0.04237549 3.143937e-02 0.06815511
## studyID3 -0.024363299 -0.031885967 -0.01194291 -1.612792e-02 -0.05669406
## studyID4 0.010380754 -0.009852011 0.02949756 1.502877e-05 -0.01178907
## [,496] [,497] [,498] [,499] [,500]
## (Intercept) 0.78016942 0.733039781 0.718857227 0.742227258 0.75996062
## studyID1 0.01444723 -0.020785732 -0.052883563 -0.025002429 0.05250434
## studyID2 0.04297864 0.028703336 -0.005326699 0.037601657 0.10063151
## studyID3 -0.02439402 0.006397359 0.042369213 0.003827157 -0.07531051
## studyID4 0.01013984 0.012491046 0.039940684 0.017100753 -0.03207805
## [,501] [,502] [,503] [,504] [,505]
## (Intercept) 0.810746064 0.72048196 0.701067819 0.769044679 0.733514743
## studyID1 -0.006855010 -0.02560316 -0.016078825 -0.035896258 -0.042590469
## studyID2 0.011623086 0.04991596 0.033684624 0.005070562 0.009686297
## studyID3 0.019215360 -0.01113248 0.002774911 0.044597810 0.020055153
## studyID4 0.002483649 0.03828162 0.030069934 0.017120490 0.053394228
## [,506] [,507] [,508] [,509] [,510]
## (Intercept) 0.752173076 0.771915753 0.721945584 0.79685561 0.74492286
## studyID1 0.027390614 0.016357521 -0.016727514 0.01346359 -0.01858812
## studyID2 0.068276408 0.046238265 0.035383692 0.05686315 0.02219381
## studyID3 -0.053422087 -0.032240340 -0.002957782 -0.04647820 0.00277446
## studyID4 0.005780032 0.009595829 0.019192709 0.01397931 0.03113130
## [,511] [,512] [,513] [,514] [,515]
## (Intercept) 0.74071554 0.676658241 0.756324461 0.74800700 0.7770147356
## studyID1 0.02047680 0.008870223 0.009938951 0.03005037 0.0011948298
## studyID2 0.02568777 0.038956723 0.058327726 0.05357977 0.0580620059
## studyID3 -0.04189173 -0.017908047 -0.030205814 -0.06496324 -0.0163979198
## studyID4 0.03499053 0.023263217 0.002179003 0.02020251 0.0004167877
## [,516] [,517] [,518] [,519] [,520]
## (Intercept) 0.7311898484 0.754463485 0.7206435964 0.80566139 0.764521962
## studyID1 -0.0008093035 -0.004837788 0.0004121979 0.02752795 0.007802459
## studyID2 0.0442242280 0.058818438 0.0120918270 0.02637212 0.071750731
## studyID3 -0.0315420997 -0.023388977 -0.0159895344 -0.03517877 -0.038128789
## studyID4 0.0368351695 0.017869311 0.0403714813 0.01269520 0.004185801
## [,521] [,522] [,523] [,524] [,525]
## (Intercept) 0.75665251 0.699525659 0.856598972 0.72821245 0.730470037
## studyID1 0.01285632 -0.004518647 0.028842546 -0.01410605 -0.008636468
## studyID2 0.03069859 0.063560296 0.042470873 0.04228478 0.045706635
## studyID3 -0.03177858 -0.030878366 -0.036008162 -0.01998070 -0.028121033
## studyID4 0.01958731 0.019057777 -0.005984491 0.03216216 0.033086364
## [,526] [,527] [,528] [,529] [,530]
## (Intercept) 0.70223986 0.71244265 0.785678744 0.738176172 0.73641416
## studyID1 -0.01746276 -0.01933295 0.006692514 0.025239392 -0.00317709
## studyID2 0.05586032 0.04711987 0.040388643 0.095362831 0.01739013
## studyID3 -0.02224091 -0.01784792 -0.022131889 -0.060049701 -0.01385369
## studyID4 0.02695664 0.03526911 -0.002357003 -0.004435628 0.02894158
## [,531] [,532] [,533] [,534] [,535]
## (Intercept) 0.766110288 0.708200183 0.799015536 0.720706199 0.71481278
## studyID1 0.025297167 0.020358384 0.030659330 -0.009673549 0.02407470
## studyID2 0.053671506 0.076916056 0.069250917 0.024998278 0.07453381
## studyID3 -0.040286464 -0.049199193 -0.061427824 -0.003034226 -0.07994656
## studyID4 0.002392001 0.006873404 0.009165657 0.028791037 0.03979205
## [,536] [,537] [,538] [,539] [,540]
## (Intercept) 0.732889428 0.819792088 0.716107670 0.711549246 0.71134534
## studyID1 0.014441269 0.016273427 0.009606795 -0.024090188 0.01426914
## studyID2 0.052814121 0.009091139 0.071475948 0.056087135 0.04554835
## studyID3 -0.031631462 -0.029607341 -0.060334723 -0.009709743 -0.03473561
## studyID4 -0.001261994 0.022074805 0.026160277 0.021400033 0.01278058
## [,541] [,542] [,543] [,544] [,545]
## (Intercept) 0.783865478 0.805088814 0.71002602 0.74305595 0.71015300
## studyID1 -0.001919176 0.021251354 0.02755140 0.02763631 0.02920989
## studyID2 0.053990729 0.053802331 0.06720132 0.04506846 0.07266060
## studyID3 -0.033642488 -0.043198064 -0.06841275 -0.04864597 -0.06833452
## studyID4 0.025918273 0.005111637 0.02365552 0.01940027 0.02456472
## [,546] [,547] [,548] [,549] [,550]
## (Intercept) 0.8179097079 0.77110019 0.738174482 0.710568749 0.72194328
## studyID1 0.0008472454 0.01646614 0.005439632 0.009002755 -0.01806964
## studyID2 0.0334616464 0.05946702 0.059291991 0.027261000 0.05771934
## studyID3 -0.0202960144 -0.03340806 -0.028568432 -0.017373629 -0.02205352
## studyID4 0.0133352077 -0.01441851 0.005949941 0.028992099 0.01705428
## [,551]
## (Intercept) 0.72137640
## studyID1 0.02473271
## studyID2 0.06852849
## studyID3 -0.05749551
## studyID4 0.01167007
##
## $f.perms
## [,1]
## [1,] 1.0057677
## [2,] 0.8054855
## [3,] 1.2880091
## [4,] 0.9516901
## [5,] 0.8671892
## [6,] 0.9393818
## [7,] 1.1256861
## [8,] 0.9205191
## [9,] 0.9421464
## [10,] 1.1423109
## [11,] 0.8785887
## [12,] 1.2518957
## [13,] 0.9010014
## [14,] 1.1185882
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## [691,] 1.2439383
## [692,] 1.0311730
## [693,] 1.0456158
## [694,] 1.2215064
## [695,] 1.2006510
## [696,] 0.9380796
## [697,] 0.8938708
## [698,] 1.0355192
## [699,] 0.9737018
## [700,] 0.8507604
## [701,] 0.8670239
## [702,] 1.1692430
## [703,] 0.8403392
## [704,] 1.1199740
## [705,] 0.9963859
## [706,] 0.9990733
## [707,] 1.0162311
## [708,] 1.0341976
## [709,] 0.9810103
## [710,] 0.8777908
## [711,] 1.2526917
## [712,] 0.8477986
## [713,] 0.7685648
## [714,] 0.8762461
## [715,] 1.0979232
## [716,] 1.2918279
## [717,] 1.1939909
## [718,] 1.2278126
## [719,] 1.0298535
## [720,] 0.9428603
## [721,] 0.9490798
## [722,] 0.9673585
## [723,] 1.0114237
## [724,] 1.0510092
## [725,] 1.1203819
## [726,] 1.1013198
## [727,] 0.7264765
## [728,] 1.1151590
## [729,] 0.9234223
## [730,] 1.1248783
## [731,] 1.1329955
## [732,] 1.1432316
## [733,] 1.0238204
## [734,] 0.8537466
## [735,] 0.9519485
## [736,] 0.9073299
## [737,] 0.9594492
## [738,] 1.0723696
## [739,] 1.0876319
## [740,] 0.8845229
## [741,] 0.7839135
## [742,] 1.0729312
## [743,] 0.9377682
## [744,] 0.9483265
## [745,] 1.0267890
## [746,] 1.0842175
## [747,] 0.9538781
## [748,] 1.1176718
## [749,] 1.0473086
## [750,] 1.0296816
## [751,] 1.0047296
## [752,] 0.6912411
## [753,] 1.0378421
## [754,] 1.0636281
## [755,] 1.0054485
## [756,] 1.0048895
## [757,] 1.2691119
## [758,] 0.7651077
## [759,] 1.0168828
## [760,] 0.8315314
## [761,] 0.8763902
## [762,] 1.0142976
## [763,] 0.9747320
## [764,] 1.0109722
## [765,] 0.9506989
## [766,] 0.9107783
## [767,] 0.9009776
## [768,] 0.8178042
## [769,] 0.7847201
## [770,] 1.0127302
## [771,] 0.9319079
## [772,] 0.9684338
## [773,] 0.9400620
## [774,] 1.0708400
## [775,] 0.9143175
## [776,] 1.2121706
## [777,] 1.0774627
## [778,] 1.1476437
## [779,] 0.8856506
## [780,] 0.8831399
## [781,] 1.0582377
## [782,] 0.9140829
## [783,] 1.0796840
## [784,] 1.0771434
## [785,] 0.9550974
## [786,] 1.0549494
## [787,] 1.1052545
## [788,] 0.8654340
## [789,] 0.8157686
## [790,] 0.9068657
## [791,] 0.8915752
## [792,] 1.0388842
## [793,] 1.0287595
## [794,] 0.8524699
## [795,] 0.8077577
## [796,] 0.9580752
## [797,] 0.9374105
## [798,] 0.9826538
## [799,] 0.9689110
## [800,] 1.1710747
## [801,] 0.9558902
## [802,] 0.9125877
## [803,] 0.9551740
## [804,] 1.0292554
## [805,] 1.1451676
## [806,] 0.9525920
## [807,] 1.1408419
## [808,] 1.1074725
## [809,] 1.1272611
## [810,] 1.0647460
## [811,] 1.0589698
## [812,] 0.9584321
## [813,] 1.1016896
## [814,] 1.1578242
## [815,] 1.0100325
## [816,] 1.0054449
## [817,] 1.2857114
## [818,] 1.0971717
## [819,] 0.9185060
## [820,] 1.0388125
## [821,] 0.8576119
## [822,] 0.9148024
## [823,] 1.1123266
## [824,] 1.1014018
## [825,] 0.8449488
## [826,] 1.0410927
## [827,] 1.1763150
## [828,] 0.8945159
## [829,] 0.8624109
## [830,] 1.3648020
## [831,] 1.0425725
## [832,] 0.7978792
## [833,] 1.2495995
## [834,] 1.0417452
## [835,] 0.8504412
## [836,] 1.2292936
## [837,] 1.1086572
## [838,] 1.1779306
## [839,] 0.9075120
## [840,] 0.8576346
## [841,] 1.0436219
## [842,] 1.0560922
## [843,] 1.0115656
## [844,] 1.0373259
## [845,] 1.1087209
## [846,] 0.9809984
## [847,] 0.9331121
## [848,] 1.2779622
## [849,] 0.9239388
## [850,] 1.3836863
## [851,] 0.8803244
## [852,] 1.1214588
## [853,] 0.9110840
## [854,] 0.7311550
## [855,] 0.9348233
## [856,] 1.0440588
## [857,] 1.0925039
## [858,] 1.0735991
## [859,] 1.0732437
## [860,] 1.1096876
## [861,] 1.0160602
## [862,] 0.9854514
## [863,] 1.2200049
## [864,] 0.9999910
## [865,] 0.9378808
## [866,] 0.9574947
## [867,] 0.9861551
## [868,] 1.0032441
## [869,] 1.1078525
## [870,] 0.9158097
## [871,] 0.9161758
## [872,] 1.0269123
## [873,] 0.8704544
## [874,] 0.9288781
## [875,] 0.8400335
## [876,] 1.0700512
## [877,] 0.9143019
## [878,] 1.1596654
## [879,] 0.8999799
## [880,] 1.0328937
## [881,] 1.0927493
## [882,] 0.8331728
## [883,] 1.2929742
## [884,] 0.9993190
## [885,] 1.1217456
## [886,] 0.9729372
## [887,] 1.1003481
## [888,] 1.1845966
## [889,] 1.1825130
## [890,] 0.9474661
## [891,] 0.8714856
## [892,] 0.8367562
## [893,] 0.8697242
## [894,] 0.8290351
## [895,] 1.1645174
## [896,] 0.8130064
## [897,] 0.9660601
## [898,] 1.1665261
## [899,] 0.8872230
## [900,] 0.9259104
## [901,] 1.0247238
## [902,] 1.0220035
## [903,] 1.0906704
## [904,] 0.8026500
## [905,] 0.8303402
## [906,] 1.0165876
## [907,] 1.0451235
## [908,] 0.9797119
## [909,] 0.9043218
## [910,] 0.8080948
## [911,] 0.9652555
## [912,] 0.7896322
## [913,] 1.3307560
## [914,] 1.0028132
## [915,] 0.7233279
## [916,] 1.1356117
## [917,] 0.8394916
## [918,] 1.1054935
## [919,] 0.8303645
## [920,] 1.0987055
## [921,] 1.0111098
## [922,] 1.1777949
## [923,] 1.1916271
## [924,] 1.0585589
## [925,] 1.3491950
## [926,] 0.7684001
## [927,] 0.8570969
## [928,] 1.0550792
## [929,] 0.9467386
## [930,] 0.7908884
## [931,] 1.0947918
## [932,] 1.0607974
## [933,] 1.0796516
## [934,] 1.0865522
## [935,] 0.9813184
## [936,] 0.9300836
## [937,] 1.1825470
## [938,] 0.8671662
## [939,] 0.9945184
## [940,] 0.9551000
## [941,] 0.8450715
## [942,] 0.9051715
## [943,] 0.8625268
## [944,] 1.0164836
## [945,] 0.8731855
## [946,] 0.9175499
## [947,] 0.8463470
## [948,] 0.9308764
## [949,] 0.9038918
## [950,] 1.0479641
## [951,] 0.9566081
## [952,] 0.9028996
## [953,] 1.0834673
## [954,] 1.0932699
## [955,] 0.9355111
## [956,] 1.0053550
## [957,] 0.6773795
## [958,] 0.9766311
## [959,] 0.9798689
## [960,] 0.9889316
## [961,] 0.7254926
## [962,] 1.0189395
## [963,] 0.9555691
## [964,] 1.2441626
## [965,] 1.1807358
## [966,] 1.1107956
## [967,] 1.1116892
## [968,] 1.1244345
## [969,] 0.8485504
## [970,] 0.9348211
## [971,] 0.8858040
## [972,] 1.1979661
## [973,] 0.8471685
## [974,] 0.8656610
## [975,] 1.0294702
## [976,] 1.0542649
## [977,] 0.8390960
## [978,] 0.9979691
## [979,] 0.9455027
## [980,] 1.0932276
## [981,] 0.9771701
## [982,] 0.8736127
## [983,] 0.9115851
## [984,] 0.9220111
## [985,] 1.0221142
## [986,] 1.1954322
## [987,] 0.9960520
## [988,] 1.0386198
## [989,] 0.8268104
## [990,] 0.9219867
## [991,] 0.7632419
## [992,] 0.6925598
## [993,] 1.0348600
## [994,] 1.1277736
## [995,] 0.7778288
## [996,] 1.0088966
## [997,] 1.0846182
## [998,] 1.1396940
## [999,] 0.9389285
##
## $model.matrix
## (Intercept)
## FengQ_2015.metaphlan_bugs_list.stool:SID31004 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31009 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31021 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31071 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31112 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31129 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31159 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31160 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31188 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31219 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31223 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31236 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31237 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31267 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31276 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31285 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31300 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31328 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31333 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31343 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31360 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31367 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31379 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31416 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31428 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31446 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31450 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31452 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31489 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31493 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31512 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31519 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31537 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31549 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31557 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31637 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31685 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31700 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31711 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31714 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31723 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31749 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31750 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31766 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31865 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31866 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31868 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31870 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31871 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31872 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31873 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31874 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31875 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31876 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31877 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31878 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31879 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31880 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31881 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31883 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31884 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530050 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530052 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530055 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530074 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530075 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530119 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530154 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530163 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530167 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530177 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530215 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530227 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530251 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530258 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530295 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530315 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530331 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530364 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530368 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530373 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530394 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530444 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530451 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530890 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531128 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531155 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531248 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531274 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531277 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531281 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531333 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531352 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531361 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531382 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531414 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531416 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531424 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531469 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531766 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531775 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532749 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532779 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532796 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532802 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532826 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532915 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100180 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100179 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100178 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100177 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100176 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100175 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100174 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100173 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100172 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100171 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100170 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100169 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100168 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100167 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100166 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100165 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100164 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100163 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100162 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100161 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100160 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100159 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100158 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100157 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100156 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100155 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100154 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100153 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100152 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100151 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100150 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100149 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100148 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100147 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100146 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100145 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100144 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100143 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100142 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100141 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100140 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100139 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100138 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100137 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100136 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100134 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100133 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100132 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100131 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100130 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100129 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100128 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100127 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100126 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100125 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS11288076ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS11932626ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS12272136ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS14379078ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS14602194ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS15137911ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS16644320ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS17603756ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS17963147ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS18295921ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS20257302ST-27-0-0 1
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS21365932ST-27-0-0 1
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## ZellerG_2014.metaphlan_bugs_list.stool:CCIS36797902ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS38765456ST-20-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS40244499ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS41222843ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS41288781ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS41548810ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS41692898ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS44093303ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS44757994ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS45571137ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS45793747ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS46047672ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS46467422ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS47284573ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS48174381ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS48725289ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS50003399ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS50148151ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS50471204ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS51595129ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS52370277ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS53043478ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS53355328ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS55230578ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS58234805ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS59132091ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS61287323ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS62605362ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS62794166ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS63448910ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS63468405ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS63910149ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS64773582ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS64785924ST-20-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS65479369ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS71301801ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS71578391ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS72607085ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS74239020ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS76845094ST-20-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS77252613ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS78100604ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS78318719ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS79210440ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS80834637ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS81139242ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS81887263ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS82146115ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS82507866ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS82944710ST-20-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS83870198ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS84543192ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS85214191ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS87116798ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS87167916ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS87252800ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS87605453ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS88007743ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS88317640ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS90164298ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS91228662ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS93040568ST-20-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS94417875ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS94603952ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS95097901ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS95409808ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS98482370ST-3-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS98512455ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCIS98832363ST-4-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD11006829ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD12232071ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD13071240ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD13934959ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD14479708ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD18872694ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD19497912ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD23101338ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD25511638ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD25963797ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD26709089ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD26925580ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD34381688ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD35802077ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD40701343ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD42428553ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD45988061ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD46222674ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD46947453ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD48236717ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD50071957ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD51864103ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD60079086ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD63399960ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD64503764ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD64776337ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD72895164ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD74930188ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD79987997ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD82866709ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD86114146ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD86707194ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD87156761ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD88272491ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD90311071ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD93344354ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD95433940ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:CCMD96553385ST-21-0 1
## ZellerG_2014.metaphlan_bugs_list.stool:MMPU29365221ST 1
## ZellerG_2014.metaphlan_bugs_list.stool:MMPU68403337ST 1
## ZellerG_2014.metaphlan_bugs_list.stool:MMPU72854103ST 1
## ZellerG_2014.metaphlan_bugs_list.stool:MMPU84450604ST 1
## ZellerG_2014.metaphlan_bugs_list.stool:MMPU99077057ST 1
## studyID1
## FengQ_2015.metaphlan_bugs_list.stool:SID31004 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31009 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31021 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31071 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31112 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31129 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31159 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31160 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31188 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31219 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31223 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31236 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31237 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31267 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31276 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31285 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31300 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31328 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31333 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31343 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31360 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31367 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31379 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31416 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31428 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31446 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31450 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31452 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31489 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31493 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31512 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31519 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31537 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31549 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31557 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31637 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31685 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31700 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31711 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31714 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31723 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31749 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31750 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31766 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31865 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31866 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31868 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31870 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31871 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31872 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31873 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31874 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31875 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31876 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31877 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31878 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31879 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31880 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31881 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31883 1
## FengQ_2015.metaphlan_bugs_list.stool:SID31884 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530050 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530052 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530055 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530074 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530075 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530119 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530154 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530163 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530167 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530177 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530215 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530227 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530251 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530258 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530295 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530315 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530331 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530364 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530368 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530373 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530394 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530444 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530451 1
## FengQ_2015.metaphlan_bugs_list.stool:SID530890 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531128 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531155 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531248 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531274 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531277 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531281 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531333 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531352 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531361 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531382 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531414 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531416 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531424 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531469 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531766 1
## FengQ_2015.metaphlan_bugs_list.stool:SID531775 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532749 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532779 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532796 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532802 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532826 1
## FengQ_2015.metaphlan_bugs_list.stool:SID532915 1
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100180 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100179 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100178 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100177 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100176 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100175 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100174 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100173 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100172 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100171 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100170 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100169 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100168 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100167 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100166 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100165 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100164 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100163 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100162 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100161 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100160 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100159 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100158 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100157 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100156 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100155 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100154 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100153 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100152 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100151 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100150 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100149 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100148 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100147 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100146 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100145 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100144 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100143 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100142 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100141 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100140 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100139 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100138 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100137 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100136 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100134 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100133 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100132 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100131 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100130 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100129 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100128 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100127 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100126 0
## HanniganGD_2017.metaphlan_bugs_list.stool:MG100125 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS11288076ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS11932626ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS12272136ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS14379078ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS14602194ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS15137911ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS16644320ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS17603756ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS17963147ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS18295921ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS20257302ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS21365932ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS24340226ST-27-0-0 0
## VogtmannE_2016.metaphlan_bugs_list.stool:MMRS25211151ST-27-0-0 0
## VogtmannE_2016.me