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This page was generated on 2024-05-01 11:35:59 -0400 (Wed, 01 May 2024).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 22.04.3 LTS)x86_644.4.0 beta (2024-04-15 r86425) -- "Puppy Cup" 4753
lconwaymacOS 12.7.1 Montereyx86_644.4.0 beta (2024-04-14 r86421) -- "Puppy Cup" 4518
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

Package 1301/2300HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
MLP 1.52.0  (landing page)
Tobias Verbeke
Snapshot Date: 2024-04-30 20:18:44 -0400 (Tue, 30 Apr 2024)
git_url: https://git.bioconductor.org/packages/MLP
git_branch: RELEASE_3_19
git_last_commit: ecdb538
git_last_commit_date: 2024-04-30 10:23:08 -0400 (Tue, 30 Apr 2024)
nebbiolo1Linux (Ubuntu 22.04.3 LTS) / x86_64  OK    OK    OK  YES
lconwaymacOS 12.7.1 Monterey / x86_64  OK    OK    OK    OK  YES
kjohnson3macOS 13.6.5 Ventura / arm64see weekly results here

CHECK results for MLP on nebbiolo1


To the developers/maintainers of the MLP package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/MLP.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results


Summary

Package: MLP
Version: 1.52.0
Command: /home/biocbuild/bbs-3.19-bioc/R/bin/R CMD check --install=check:MLP.install-out.txt --library=/home/biocbuild/bbs-3.19-bioc/R/site-library --timings MLP_1.52.0.tar.gz
StartedAt: 2024-05-01 07:25:04 -0400 (Wed, 01 May 2024)
EndedAt: 2024-05-01 07:32:56 -0400 (Wed, 01 May 2024)
EllapsedTime: 471.5 seconds
RetCode: 0
Status:   OK  
CheckDir: MLP.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.19-bioc/R/bin/R CMD check --install=check:MLP.install-out.txt --library=/home/biocbuild/bbs-3.19-bioc/R/site-library --timings MLP_1.52.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.19-bioc/meat/MLP.Rcheck’
* using R version 4.4.0 beta (2024-04-15 r86425)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
    GNU Fortran (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
* running under: Ubuntu 22.04.4 LTS
* using session charset: UTF-8
* checking for file ‘MLP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘MLP’ version ‘1.52.0’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘MLP’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... NOTE
checkRd: (-1) getGeneSets.Rd:30-31: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) getGeneSets.Rd:32-33: Lost braces in \itemize; \value handles \item{}{} directly
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                        user system elapsed
addGeneSetDescription 60.008  2.073  62.204
getGeneSets           59.037  0.948  87.462
MLP                   20.659  0.511  21.174
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘test.KEGG.R’
  Running ‘test.MLP.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/home/biocbuild/bbs-3.19-bioc/meat/MLP.Rcheck/00check.log’
for details.


Installation output

MLP.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.19-bioc/R/bin/R CMD INSTALL MLP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.19-bioc/R/site-library’
* installing *source* package ‘MLP’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (MLP)

Tests output

MLP.Rcheck/tests/test.KEGG.Rout


R version 4.4.0 beta (2024-04-15 r86425) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(MLP)
> 
> pathPValues <- system.file("exampleFiles", "examplePValues.rda", package = "MLP")
> load(pathPValues)
> 
> pvalues <- examplePValues[seq.int(1000)]
> 
> system.time(geneSet <- getGeneSets(
+ 	species = "Mouse", 
+ 	geneSetSource = "KEGG", 
+ 	entrezIdentifiers = names(pvalues)
+ ))
   user  system elapsed 
 33.886   0.523  60.558 
> 
> set.seed(111)
> mlpOut <- MLP(
+ 	geneSet = geneSet, 
+ 	geneStatistic = pvalues
+ ) 	
> 
> mlpOutWithGeneSetDescr <- addGeneSetDescription(object = mlpOut, geneSetSource = "KEGG")
Warning message:
In addGeneSetDescription(object = mlpOut, geneSetSource = "KEGG") :
  The MLP object already contains a column 'geneSetDescription'
> 
> 	
> 
> proc.time()
   user  system elapsed 
 38.862   0.867  91.481 

MLP.Rcheck/tests/test.MLP.Rout


R version 4.4.0 beta (2024-04-15 r86425) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> require(MLP)	
Loading required package: MLP
> set.seed(479)
> 
> # This is just the expressionset for this experiment.
> 
> pathExampleData <- system.file("exampleFiles", "expressionSetGcrma.rda", package = "MLP")
> load(pathExampleData)
> 
> # Libraries needed
> library(limma)
> library(org.Mm.eg.db) # for mouse
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following object is masked from 'package:limma':

    plotMA

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    anyDuplicated, aperm, append, as.data.frame, basename, cbind,
    colnames, dirname, do.call, duplicated, eval, evalq, Filter, Find,
    get, grep, grepl, intersect, is.unsorted, lapply, Map, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int,
    Position, rank, rbind, Reduce, rownames, sapply, setdiff, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: IRanges
Loading required package: S4Vectors

Attaching package: 'S4Vectors'

The following object is masked from 'package:utils':

    findMatches

The following objects are masked from 'package:base':

    expand.grid, I, unname


> 
> exprs(expressionSetGcrma)[1:2,]
              2760     2763     2765     2766     2768     2769     2761
100009600 2.371111 2.170060 2.233383 2.180717 2.325886 2.239441 2.297301
100012    2.176163 2.318876 2.419263 2.223307 2.585125 2.346060 2.292061
              2762    2764     2767     2770     2771
100009600 2.409001 2.49458 2.115814 2.371262 2.267459
100012    2.336415 2.47979 2.361981 2.330418 2.520918
> #              2760     2763     2765     2766     2768     2769     2761     2762    2764     2767
> #100009600 2.371111 2.170060 2.233383 2.180717 2.325886 2.239441 2.297301 2.409001 2.49458 2.115814
> #100012    2.176163 2.318876 2.419263 2.223307 2.585125 2.346060 2.292061 2.336415 2.47979 2.361981
> #              2770     2771
> #100009600 2.371262 2.267459
> #100012    2.330418 2.520918
> 
> pData(expressionSetGcrma)
     sample subGroup sampleColor subGroup1
2760      1        1     #FF0000        WT
2763      4        1     #FF0000        WT
2765      6        1     #FF0000        WT
2766      7        1     #FF0000        WT
2768      9        1     #FF0000        WT
2769     10        1     #FF0000        WT
2761      2        2     #0000FF        KO
2762      3        2     #0000FF        KO
2764      5        2     #0000FF        KO
2767      8        2     #0000FF        KO
2770     11        2     #0000FF        KO
2771     12        2     #0000FF        KO
> #     sample subGroup sampleColor
> #2760      1        1     #FF0000
> #2763      4        1     #FF0000
> #2765      6        1     #FF0000
> #2766      7        1     #FF0000
> #2768      9        1     #FF0000
> #2769     10        1     #FF0000
> #2761      2        2     #0000FF
> #2762      3        2     #0000FF
> #2764      5        2     #0000FF
> #2767      8        2     #0000FF
> #2770     11        2     #0000FF
> #2771     12        2     #0000FF
> 
> pData(expressionSetGcrma)$subGroup1 <- ifelse(pData(expressionSetGcrma)$subGroup==1,"WT","KO")
> 
> ###==============================================GENERATING LIMMA p-VALUES=================================
> 
> # boxplot(data.frame(exprs(expressionSetGcrma))
> normDat  <- normalizeQuantiles(exprs(expressionSetGcrma), ties=TRUE)
> subGroup <- pData(expressionSetGcrma)$subGroup
> design <- model.matrix(~ -1 +factor(subGroup ))
> 
> colnames(design) <- c("group1", "group2")
> contrast.matrix <- makeContrasts(group1-group2, levels=design)
> fit <- lmFit(normDat,design)
> fit2 <- contrasts.fit(fit, contrast.matrix)
> fit2 <- eBayes(fit2)
> normDat.p <- fit2$p.value
> 
> normDat.p[1:5]
[1] 0.4328583 0.7448996 0.6088859 0.1845008 0.2312761
> #[1] 0.4328583 0.7448996 0.6088859 0.1845008 0.2312761
> 
> system.time(goGeneSet <- getGeneSets(species = "Mouse", geneSetSource = "GOBP", entrezIdentifiers = featureNames(expressionSetGcrma)))
Loading required namespace: GO.db

   user  system elapsed 
 34.315   2.163  36.773 
> goGeneSet[1:3]
$`GO:0000002`
 [1] "11545"  "12628"  "13804"  "16882"  "17258"  "17527"  "18975"  "19017" 
 [9] "19819"  "20133"  "21975"  "22059"  "23797"  "27393"  "27395"  "27397" 
[17] "50776"  "57813"  "70556"  "72170"  "72962"  "74143"  "74244"  "74528" 
[25] "76781"  "83408"  "83945"  "192287" "216021" "216805" "226153" "230784"
[33] "276852" "327762" "381760" "382985" "408022"

$`GO:0000003`
   [1] "11287"     "11352"     "11421"     "11430"     "11434"     "11441"    
   [7] "11470"     "11477"     "11479"     "11480"     "11486"     "11495"    
  [13] "11497"     "11498"     "11499"     "11500"     "11504"     "11516"    
  [19] "11517"     "11545"     "11546"     "11551"     "11552"     "11553"    
  [25] "11576"     "11600"     "11606"     "11614"     "11622"     "11625"    
  [31] "11642"     "11643"     "11647"     "11651"     "11674"     "11705"    
  [37] "11747"     "11757"     "11774"     "11789"     "11799"     "11804"    
  [43] "11819"     "11820"     "11835"     "11839"     "11857"     "11865"    
  [49] "11883"     "11920"     "11998"     "12009"     "12018"     "12028"    
  [55] "12034"     "12041"     "12043"     "12048"     "12050"     "12053"    
  [61] "12124"     "12125"     "12142"     "12159"     "12160"     "12161"    
  [67] "12162"     "12163"     "12164"     "12166"     "12167"     "12168"    
  [73] "12173"     "12190"     "12215"     "12237"     "12261"     "12266"    
  [79] "12290"     "12305"     "12310"     "12316"     "12317"     "12323"    
  [85] "12363"     "12366"     "12380"     "12387"     "12394"     "12411"    
  [91] "12416"     "12426"     "12427"     "12442"     "12443"     "12447"    
  [97] "12448"     "12458"     "12461"     "12462"     "12464"     "12465"    
 [103] "12466"     "12468"     "12469"     "12488"     "12505"     "12527"    
 [109] "12530"     "12531"     "12532"     "12550"     "12566"     "12576"    
 [115] "12577"     "12589"     "12593"     "12608"     "12617"     "12638"    
 [121] "12640"     "12659"     "12704"     "12745"     "12753"     "12767"    
 [127] "12801"     "12804"     "12833"     "12841"     "12846"     "12877"    
 [133] "12916"     "12918"     "12919"     "12929"     "12946"     "12977"    
 [139] "13000"     "13006"     "13018"     "13030"     "13039"     "13046"    
 [145] "13052"     "13070"     "13075"     "13121"     "13123"     "13134"    
 [151] "13164"     "13166"     "13194"     "13205"     "13206"     "13214"    
 [157] "13363"     "13382"     "13383"     "13404"     "13405"     "13411"    
 [163] "13435"     "13436"     "13487"     "13488"     "13491"     "13492"    
 [169] "13498"     "13524"     "13525"     "13526"     "13529"     "13614"    
 [175] "13615"     "13617"     "13618"     "13626"     "13649"     "13653"    
 [181] "13667"     "13711"     "13731"     "13813"     "13831"     "13852"    
 [187] "13854"     "13856"     "13857"     "13866"     "13870"     "13874"    
 [193] "13875"     "13982"     "13983"     "14011"     "14087"     "14088"    
 [199] "14119"     "14155"     "14160"     "14165"     "14178"     "14179"    
 [205] "14180"     "14183"     "14211"     "14228"     "14238"     "14275"    
 [211] "14276"     "14283"     "14308"     "14309"     "14313"     "14347"    
 [217] "14359"     "14366"     "14367"     "14402"     "14419"     "14421"    
 [223] "14425"     "14431"     "14447"     "14453"     "14460"     "14462"    
 [229] "14463"     "14531"     "14536"     "14566"     "14595"     "14598"    
 [235] "14609"     "14610"     "14622"     "14626"     "14632"     "14633"    
 [241] "14654"     "14658"     "14682"     "14683"     "14705"     "14714"    
 [247] "14725"     "14748"     "14764"     "14766"     "14782"     "14810"    
 [253] "14815"     "14824"     "14841"     "14955"     "15013"     "15018"    
 [259] "15078"     "15081"     "15110"     "15182"     "15194"     "15204"    
 [265] "15209"     "15211"     "15212"     "15235"     "15247"     "15270"    
 [271] "15361"     "15364"     "15373"     "15375"     "15377"     "15378"    
 [277] "15387"     "15395"     "15396"     "15398"     "15405"     "15408"    
 [283] "15430"     "15431"     "15433"     "15438"     "15446"     "15463"    
 [289] "15482"     "15484"     "15488"     "15499"     "15500"     "15502"    
 [295] "15511"     "15512"     "15567"     "15574"     "15894"     "15904"    
 [301] "16000"     "16001"     "16011"     "16147"     "16157"     "16158"    
 [307] "16173"     "16175"     "16176"     "16319"     "16322"     "16323"    
 [313] "16324"     "16330"     "16336"     "16337"     "16365"     "16410"    
 [319] "16412"     "16416"     "16433"     "16449"     "16450"     "16477"    
 [325] "16532"     "16542"     "16578"     "16590"     "16601"     "16650"    
 [331] "16669"     "16691"     "16777"     "16783"     "16795"     "16833"    
 [337] "16846"     "16847"     "16848"     "16859"     "16866"     "16867"    
 [343] "16869"     "16875"     "16876"     "16878"     "16886"     "16970"    
 [349] "16974"     "17125"     "17128"     "17129"     "17149"     "17171"    
 [355] "17173"     "17191"     "17215"     "17216"     "17217"     "17218"    
 [361] "17219"     "17220"     "17221"     "17235"     "17240"     "17242"    
 [367] "17256"     "17257"     "17263"     "17283"     "17289"     "17295"    
 [373] "17300"     "17304"     "17311"     "17345"     "17350"     "17381"    
 [379] "17390"     "17395"     "17427"     "17450"     "17451"     "17535"    
 [385] "17684"     "17685"     "17687"     "17701"     "17702"     "17761"    
 [391] "17771"     "17776"     "17836"     "17864"     "17886"     "17977"    
 [397] "17978"     "17979"     "17984"     "18000"     "18004"     "18005"    
 [403] "18011"     "18014"     "18072"     "18095"     "18109"     "18119"    
 [409] "18121"     "18127"     "18128"     "18142"     "18159"     "18168"    
 [415] "18211"     "18285"     "18286"     "18291"     "18292"     "18387"    
 [421] "18390"     "18413"     "18417"     "18426"     "18429"     "18430"    
 [427] "18431"     "18436"     "18441"     "18442"     "18472"     "18475"    
 [433] "18476"     "18504"     "18507"     "18514"     "18551"     "18552"    
 [439] "18555"     "18595"     "18606"     "18617"     "18663"     "18667"    
 [445] "18706"     "18747"     "18749"     "18766"     "18775"     "18776"    
 [451] "18783"     "18787"     "18791"     "18793"     "18795"     "18802"    
 [457] "18811"     "18812"     "18814"     "18815"     "18817"     "18821"    
 [463] "18830"     "18858"     "18861"     "18952"     "19014"     "19015"    
 [469] "19047"     "19049"     "19052"     "19057"     "19059"     "19090"    
 [475] "19109"     "19110"     "19111"     "19112"     "19113"     "19114"    
 [481] "19116"     "19118"     "19119"     "19120"     "19143"     "19156"    
 [487] "19183"     "19204"     "19211"     "19214"     "19215"     "19219"    
 [493] "19223"     "19225"     "19229"     "19242"     "19247"     "19275"    
 [499] "19288"     "19294"     "19317"     "19339"     "19353"     "19355"    
 [505] "19359"     "19360"     "19361"     "19362"     "19364"     "19366"    
 [511] "19401"     "19411"     "19657"     "19662"     "19664"     "19701"    
 [517] "19725"     "19733"     "19735"     "19773"     "19821"     "19886"    
 [523] "20017"     "20104"     "20112"     "20181"     "20182"     "20315"    
 [529] "20317"     "20319"     "20322"     "20346"     "20363"     "20377"    
 [535] "20397"     "20415"     "20423"     "20437"     "20473"     "20474"    
 [541] "20475"     "20520"     "20535"     "20613"     "20655"     "20662"    
 [547] "20670"     "20671"     "20674"     "20675"     "20681"     "20682"    
 [553] "20683"     "20686"     "20687"     "20690"     "20708"     "20719"    
 [559] "20720"     "20724"     "20729"     "20730"     "20733"     "20744"    
 [565] "20758"     "20779"     "20826"     "20843"     "20848"     "20850"    
 [571] "20851"     "20853"     "20860"     "20869"     "20871"     "20873"    
 [577] "20878"     "20892"     "20897"     "20899"     "20905"     "20910"    
 [583] "20957"     "20962"     "20997"     "21333"     "21334"     "21336"    
 [589] "21337"     "21338"     "21357"     "21386"     "21405"     "21410"    
 [595] "21412"     "21414"     "21416"     "21454"     "21463"     "21645"    
 [601] "21674"     "21679"     "21744"     "21749"     "21803"     "21808"    
 [607] "21812"     "21821"     "21823"     "21824"     "21830"     "21833"    
 [613] "21834"     "21843"     "21849"     "21857"     "21869"     "21887"    
 [619] "21923"     "21930"     "21945"     "21958"     "21959"     "21973"    
 [625] "21974"     "22022"     "22026"     "22059"     "22061"     "22064"    
 [631] "22065"     "22068"     "22092"     "22097"     "22114"     "22115"    
 [637] "22127"     "22137"     "22174"     "22187"     "22209"     "22210"    
 [643] "22215"     "22223"     "22249"     "22253"     "22334"     "22335"    
 [649] "22337"     "22339"     "22353"     "22384"     "22412"     "22415"    
 [655] "22417"     "22418"     "22421"     "22431"     "22441"     "22445"    
 [661] "22446"     "22589"     "22632"     "22635"     "22661"     "22668"    
 [667] "22691"     "22694"     "22696"     "22697"     "22698"     "22701"    
 [673] "22702"     "22715"     "22762"     "22764"     "22768"     "22786"    
 [679] "22787"     "22788"     "22789"     "23793"     "23885"     "23920"    
 [685] "23950"     "23967"     "23968"     "23980"     "23991"     "23997"    
 [691] "24061"     "24084"     "24086"     "24127"     "24128"     "26357"    
 [697] "26362"     "26370"     "26384"     "26407"     "26413"     "26417"    
 [703] "26423"     "26428"     "26434"     "26437"     "26564"     "26565"    
 [709] "26900"     "26909"     "26910"     "26920"     "26927"     "26934"    
 [715] "26942"     "26946"     "26972"     "27061"     "27083"     "27084"    
 [721] "27206"     "27222"     "27354"     "27356"     "27372"     "27386"    
 [727] "28036"     "28078"     "28105"     "28114"     "28135"     "29812"    
 [733] "29819"     "29871"     "29876"     "30054"     "30841"     "30939"    
 [739] "30953"     "30959"     "50501"     "50505"     "50525"     "50722"    
 [745] "50790"     "50796"     "50878"     "50915"     "51789"     "51792"    
 [751] "51885"     "51938"     "52020"     "52028"     "52679"     "52683"    
 [757] "52696"     "52864"     "53381"     "53419"     "53422"     "53424"    
 [763] "53604"     "53614"     "53857"     "53878"     "53885"     "53897"    
 [769] "53975"     "54003"     "54004"     "54137"     "54140"     "54204"    
 [775] "54352"     "54383"     "54388"     "54418"     "54427"     "54486"    
 [781] "54524"     "54562"     "54608"     "54611"     "54650"     "54725"    
 [787] "55925"     "55978"     "55993"     "55994"     "56092"     "56094"    
 [793] "56218"     "56223"     "56228"     "56274"     "56291"     "56296"    
 [799] "56312"     "56334"     "56335"     "56371"     "56436"     "56438"    
 [805] "56449"     "56484"     "56503"     "56523"     "56526"     "56622"    
 [811] "56635"     "56637"     "56693"     "56710"     "56711"     "56717"    
 [817] "56739"     "56746"     "56802"     "57256"     "57264"     "57320"    
 [823] "57746"     "57749"     "57815"     "57816"     "57908"     "58186"    
 [829] "58226"     "58230"     "58231"     "58864"     "58991"     "58998"    
 [835] "59030"     "59083"     "60530"     "60534"     "60597"     "60611"    
 [841] "63830"     "63872"     "64009"     "64335"     "64383"     "64707"    
 [847] "64931"     "65247"     "65971"     "66193"     "66197"     "66313"    
 [853] "66392"     "66573"     "66634"     "66654"     "66707"     "66712"    
 [859] "66713"     "66720"     "66722"     "66756"     "66793"     "66826"    
 [865] "66977"     "66983"     "67000"     "67010"     "67027"     "67030"    
 [871] "67031"     "67042"     "67052"     "67077"     "67121"     "67141"    
 [877] "67181"     "67204"     "67231"     "67310"     "67331"     "67343"    
 [883] "67345"     "67374"     "67378"     "67402"     "67504"     "67505"    
 [889] "67555"     "67561"     "67645"     "67652"     "67690"     "67713"    
 [895] "67753"     "67869"     "67909"     "67946"     "67968"     "67971"    
 [901] "67981"     "68107"     "68166"     "68170"     "68172"     "68201"    
 [907] "68231"     "68275"     "68298"     "68328"     "68510"     "68549"    
 [913] "68708"     "68767"     "68911"     "68922"     "68981"     "69032"    
 [919] "69064"     "69260"     "69286"     "69287"     "69306"     "69307"    
 [925] "69310"     "69329"     "69363"     "69376"     "69387"     "69444"    
 [931] "69481"     "69496"     "69538"     "69546"     "69707"     "69716"    
 [937] "69852"     "69865"     "69928"     "69940"     "69982"     "70069"    
 [943] "70093"     "70099"     "70231"     "70235"     "70248"     "70375"    
 [949] "70441"     "70465"     "70503"     "70691"     "70772"     "70840"    
 [955] "70862"     "70873"     "70882"     "70891"     "70897"     "70918"    
 [961] "70956"     "70977"     "71037"     "71062"     "71078"     "71089"    
 [967] "71099"     "71132"     "71175"     "71233"     "71236"     "71241"    
 [973] "71242"     "71371"     "71567"     "71709"     "71711"     "71765"    
 [979] "71830"     "71836"     "71840"     "71841"     "71846"     "71860"    
 [985] "71870"     "71904"     "71914"     "71950"     "71981"     "72103"    
 [991] "72135"     "72148"     "72162"     "72236"     "72415"     "72504"    
 [997] "72508"     "72568"     "72634"     "72787"     "72873"     "72891"    
[1003] "72938"     "73242"     "73244"     "73296"     "73316"     "73329"    
[1009] "73333"     "73336"     "73412"     "73456"     "73463"     "73472"    
[1015] "73542"     "73616"     "73673"     "73677"     "73679"     "73721"    
[1021] "73862"     "73884"     "74041"     "74052"     "74068"     "74075"    
[1027] "74090"     "74096"     "74117"     "74155"     "74174"     "74188"    
[1033] "74222"     "74229"     "74237"     "74267"     "74286"     "74288"    
[1039] "74297"     "74309"     "74354"     "74355"     "74360"     "74362"    
[1045] "74369"     "74377"     "74383"     "74386"     "74401"     "74434"    
[1051] "74446"     "74450"     "74453"     "74468"     "74469"     "74666"    
[1057] "74691"     "74708"     "74711"     "74716"     "74717"     "74754"    
[1063] "74847"     "74927"     "75002"     "75013"     "75019"     "75033"    
[1069] "75140"     "75178"     "75202"     "75216"     "75388"     "75410"    
[1075] "75437"     "75459"     "75469"     "75514"     "75533"     "75545"    
[1081] "75563"     "75564"     "75571"     "75596"     "75605"     "75622"    
[1087] "75641"     "75642"     "75646"     "75753"     "75773"     "75801"    
[1093] "75826"     "75828"     "75909"     "76378"     "76407"     "76421"    
[1099] "76426"     "76464"     "76486"     "76499"     "76573"     "76606"    
[1105] "76718"     "76800"     "76850"     "76856"     "76858"     "76867"    
[1111] "76915"     "76925"     "76943"     "77031"     "77053"     "77128"    
[1117] "77254"     "77352"     "77424"     "77485"     "77505"     "77595"    
[1123] "77609"     "77684"     "77772"     "77963"     "77980"     "78081"    
[1129] "78118"     "78124"     "78174"     "78284"     "78619"     "78634"    
[1135] "78658"     "78774"     "78784"     "78801"     "78803"     "78925"    
[1141] "79455"     "80297"     "80517"     "80838"     "80884"     "80912"    
[1147] "81018"     "81601"     "83434"     "83456"     "83557"     "83558"    
[1153] "83560"     "83561"     "83563"     "83964"     "83984"     "93670"    
[1159] "93684"     "93730"     "93736"     "93757"     "93759"     "93760"    
[1165] "93837"     "93960"     "94109"     "94221"     "94224"     "94244"    
[1171] "94246"     "97086"     "97165"     "98558"     "98711"     "99375"    
[1177] "99412"     "99929"     "100121"    "100155"    "100317"    "100535"   
[1183] "100986"    "101100"    "101187"    "101476"    "102774"    "102991"   
[1189] "103468"    "103554"    "103583"    "103733"    "103768"    "104103"   
[1195] "104111"    "104156"    "104263"    "104271"    "104346"    "104362"   
[1201] "104601"    "104799"    "104806"    "105349"    "105511"    "105988"   
[1207] "106389"    "106757"    "107515"    "107626"    "107656"    "107849"   
[1213] "107970"    "107995"    "108829"    "108961"    "109685"    "109689"   
[1219] "109785"    "110012"    "110082"    "110084"    "110147"    "110355"   
[1225] "110542"    "110957"    "110958"    "112418"    "114602"    "114606"   
[1231] "114642"    "114661"    "114662"    "114714"    "114875"    "116837"   
[1237] "116914"    "140498"    "140557"    "170731"    "171285"    "171429"   
[1243] "171506"    "192119"    "192176"    "192195"    "192199"    "192236"   
[1249] "192897"    "193322"    "193838"    "194908"    "195434"    "207304"   
[1255] "207352"    "207607"    "207686"    "208144"    "208169"    "208188"   
[1261] "208727"    "208908"    "209011"    "209091"    "210510"    "210529"   
[1267] "210554"    "211651"    "212517"    "212670"    "212937"    "213081"   
[1273] "213236"    "213272"    "213389"    "213402"    "213541"    "213742"   
[1279] "214105"    "214290"    "214321"    "214384"    "214572"    "214575"   
[1285] "214593"    "214704"    "214901"    "215028"    "215029"    "215095"   
[1291] "215387"    "215772"    "215854"    "216350"    "216725"    "216869"   
[1297] "217039"    "217116"    "217216"    "217341"    "217715"    "217716"   
[1303] "218214"    "218454"    "219038"    "223499"    "223593"    "223697"   
[1309] "223825"    "223921"    "223989"    "224045"    "224171"    "224661"   
[1315] "224727"    "224826"    "224902"    "225182"    "225497"    "225865"   
[1321] "225922"    "226049"    "226090"    "226162"    "226265"    "226356"   
[1327] "227210"    "227394"    "227615"    "227631"    "227707"    "227736"   
[1333] "228421"    "228980"    "229096"    "229227"    "229357"    "229841"   
[1339] "230103"    "230126"    "230594"    "230700"    "230861"    "230899"   
[1345] "231051"    "231386"    "231600"    "231633"    "231832"    "231912"   
[1351] "232174"    "232223"    "232286"    "232345"    "232664"    "232816"   
[1357] "232943"    "233276"    "234396"    "234857"    "235072"    "235320"   
[1363] "235330"    "235345"    "235380"    "235559"    "235628"    "236266"   
[1369] "236899"    "237336"    "237465"    "237625"    "237860"    "237911"   
[1375] "237958"    "238055"    "238057"    "238217"    "238247"    "238330"   
[1381] "238405"    "238406"    "238871"    "239083"    "239528"    "239591"   
[1387] "239731"    "240023"    "240069"    "240255"    "240590"    "240697"   
[1393] "240725"    "240899"    "241116"    "241296"    "241516"    "241624"   
[1399] "242202"    "242523"    "242620"    "243853"    "243862"    "243866"   
[1405] "243897"    "244199"    "244486"    "244551"    "244891"    "245000"   
[1411] "245423"    "245865"    "245884"    "245944"    "246747"    "252828"   
[1417] "252866"    "252868"    "252967"    "252973"    "258658"    "259279"   
[1423] "260298"    "260305"    "263876"    "264134"    "268396"    "268420"   
[1429] "268465"    "268491"    "268591"    "268697"    "268755"    "268860"   
[1435] "268903"    "268930"    "269254"    "269275"    "269610"    "269682"   
[1441] "269701"    "270624"    "271036"    "271127"    "271564"    "271639"   
[1447] "272643"    "276920"    "278203"    "278240"    "279499"    "280287"   
[1453] "280667"    "280668"    "317653"    "317755"    "319177"    "319448"   
[1459] "319953"    "320022"    "320214"    "320244"    "320256"    "320277"   
[1465] "320406"    "320558"    "320752"    "320790"    "320869"    "327826"   
[1471] "328019"    "328365"    "328401"    "328440"    "328580"    "328845"   
[1477] "329557"    "329693"    "329702"    "329954"    "330149"    "330188"   
[1483] "330277"    "330319"    "330409"    "330470"    "330830"    "330890"   
[1489] "331046"    "331416"    "331491"    "331537"    "332110"    "332397"   
[1495] "333307"    "333564"    "353188"    "353320"    "353342"    "378430"   
[1501] "378462"    "380654"    "380684"    "380702"    "380709"    "380773"   
[1507] "380855"    "380994"    "381022"    "381107"    "381157"    "381196"   
[1513] "381218"    "381229"    "381290"    "381350"    "381404"    "381489"   
[1519] "381598"    "381633"    "381677"    "381678"    "381759"    "382007"   
[1525] "382077"    "382113"    "382217"    "382275"    "382277"    "382301"   
[1531] "382562"    "383491"    "384619"    "384806"    "384813"    "385377"   
[1537] "387139"    "387140"    "387153"    "387156"    "387161"    "387162"   
[1543] "387177"    "387178"    "387179"    "387188"    "387198"    "387218"   
[1549] "387244"    "387245"    "387246"    "387247"    "399599"    "433700"   
[1555] "434438"    "434555"    "434768"    "434784"    "434794"    "442829"   
[1561] "544752"    "545156"    "545391"    "545824"    "546055"    "546118"   
[1567] "546272"    "546282"    "546886"    "574428"    "574437"    "574438"   
[1573] "606496"    "619517"    "619697"    "619991"    "622480"    "622554"   
[1579] "623131"    "623474"    "625249"    "625662"    "627081"    "628438"   
[1585] "629141"    "631584"    "633285"    "636104"    "637079"    "637277"   
[1591] "664799"    "664829"    "665270"    "665780"    "666173"    "666317"   
[1597] "666528"    "668110"    "668929"    "671232"    "671564"    "723849"   
[1603] "723868"    "723886"    "723932"    "723939"    "723955"    "723956"   
[1609] "723962"    "723965"    "723966"    "735262"    "735309"    "751535"   
[1615] "100009600" "100037282" "100038417" "100038489" "100038977" "100039030"
[1621] "100039065" "100039120" "100039842" "100039905" "100040608" "100040894"
[1627] "100041505" "100042109" "100042175" "100042555" "100042849" "100042874"
[1633] "100042881" "100042922" "100042929" "100042931" "100042939" "100042943"
[1639] "100042944" "100042946" "100043216" "100043674" "100048534" "100049545"
[1645] "100049546" "100049548" "100113365" "100124460" "100124479" "100124480"
[1651] "100190765" "100270744" "100502723" "100503361" "100503724" "100504207"
[1657] "100504642" "100861637" "100861881" "100862365" "100862383" "100862394"
[1663] "100862398" "101055773" "101056116" "101056210" "102631559" "102632837"
[1669] "102633564" "102636501" "102638101" "102638793" "102639094" "102639490"
[1675] "102639895" "105243794" "105247282" "108168511" "108168530" "108168552"
[1681] "108168557" "108168582" "108168594" "113523646" "118451630"

$`GO:0000012`
 [1] "11545"  "14211"  "21958"  "22064"  "22594"  "66408"  "70099"  "71991" 
 [9] "72103"  "93759"  "104884" "319583" "319955"

> # output changes with annotation version !
> 
> y <- normDat.p[,1]
> names(y) <- featureNames(expressionSetGcrma)
> 
> y[1:10]
100009600    100012    100017    100019 100034251 100036521 100037258 100037278 
0.4328583 0.7448996 0.6088859 0.1845008 0.2312761 0.7865153 0.7772888 0.1037431 
100038570 100038635 
0.1368744 0.3272610 
> # 100009600    100012    100017    100019 100034251 100036521 100037258 100037278 
> # 0.4328583 0.7448996 0.6088859 0.1845008 0.2312761 0.7865153 0.7772888 0.1037431 
> # 100038570 100038635 
> # 0.1368744 0.3272610 
> 
> mlpObject <- MLP(geneSet = goGeneSet, geneStatistic = y, minGenes = 5, maxGenes = 100, rowPermutations = TRUE, 
+     nPermutations = 6, smoothPValues = TRUE)
> 
> 
> 
> mlpObject[1:10, ]
           totalGeneSetSize testedGeneSetSize geneSetStatistic geneSetPValue
GO:0002478               53                32        0.9473866  8.353208e-05
GO:0002468               14                10        1.3556793  8.917018e-05
GO:0019884               60                37        0.8757822  1.810732e-04
GO:0019886               22                19        1.0530544  2.498395e-04
GO:0002495               26                23        0.9693229  3.936265e-04
GO:0048002               84                50        0.7670156  6.490494e-04
GO:0002504               28                25        0.9087814  8.176177e-04
GO:1905146               20                20        0.9388658  1.273271e-03
GO:1905673                6                 5        1.3859904  1.449042e-03
GO:0010813                5                 5        1.3587164  1.770493e-03
                                                                                  geneSetDescription
GO:0002478                          antigen processing and presentation of exogenous peptide antigen
GO:0002468                                        dendritic cell antigen processing and presentation
GO:0019884                                  antigen processing and presentation of exogenous antigen
GO:0019886         antigen processing and presentation of exogenous peptide antigen via MHC class II
GO:0002495                   antigen processing and presentation of peptide antigen via MHC class II
GO:0048002                                    antigen processing and presentation of peptide antigen
GO:0002504 antigen processing and presentation of peptide or polysaccharide antigen via MHC class II
GO:1905146                                                       lysosomal protein catabolic process
GO:1905673                                              positive regulation of lysosome organization
GO:0010813                                                            neuropeptide catabolic process
> # output changes with annotation version !
> 
> plotGOgraph(object = mlpObject, main = "test of main")
Loading required namespace: Rgraphviz
Loading required namespace: GOstats
Loading required namespace: gplots
> 
> pdf(file = "test10.pdf", width = 10, height = 10)
> # x11(width = 10, height = 10)
> plot(mlpObject, nRow = 10) # by default:  type = "barplot"
> dev.off()
pdf 
  2 
> 
> unlink("test10.pdf")
> 
> if (FALSE){
+   pdf(file = "test5.pdf", width =10, height = 10)
+   mlpBarplot(object = mlpObject, geneSetSource = "GOBP", nRow = 10, descriptionLength = 5)
+   dev.off()
+   
+   unlink("test5.pdf")
+   
+   pdf(file = "test100.pdf", width =10, height = 20)
+   mlpBarplot(object = mlpObject, geneSetSource = "GOBP", nRow = 10, descriptionLength = 100)
+   dev.off()
+   
+   unlink("test100.pdf")
+ }
> 
> plot(mlpObject, type = "quantileCurves")
> plot(mlpObject, type = "GOgraph")
> 
> proc.time()
   user  system elapsed 
 61.617   2.739  65.031 

Example timings

MLP.Rcheck/MLP-Ex.timings

nameusersystemelapsed
MLP20.659 0.51121.174
addGeneSetDescription60.008 2.07362.204
getGeneSets59.037 0.94887.462
mlpBarplot0.0320.0000.033
plot.MLP3.2820.1083.390
plotGOgraph0.6780.0040.682
plotGeneSetSignificance0.6360.0280.668