Package: GSVA 2.6.2

Robert Castelo

GSVA: Gene Set Variation Analysis for Microarray and RNA-Seq Data

Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised method for estimating variation of gene set enrichment through the samples of a expression data set. GSVA performs a change in coordinate systems, transforming the data from a gene by sample matrix to a gene-set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross-tissue pathway analysis, in a pathway-centric manner.

Authors:Robert Castelo [aut, cre], Justin Guinney [aut], Alexey Sergushichev [ctb], Pablo Sebastian Rodriguez [ctb], Axel Klenk [ctb], Chan Zuckerberg Initiative [fnd], Spanish Ministry of Science, Innovation and Universities [fnd]

GSVA_2.6.2.tar.gz
GSVA_2.6.2.zip(r-4.7)GSVA_2.6.2.zip(r-4.6)GSVA_2.6.2.zip(r-4.5)
GSVA_2.6.2.tgz(r-4.6-x86_64)GSVA_2.6.2.tgz(r-4.6-arm64)GSVA_2.6.2.tgz(r-4.5-x86_64)GSVA_2.6.2.tgz(r-4.5-arm64)
GSVA_2.6.2.tar.gz(r-4.7-arm64)GSVA_2.6.2.tar.gz(r-4.7-x86_64)GSVA_2.6.2.tar.gz(r-4.6-arm64)GSVA_2.6.2.tar.gz(r-4.6-x86_64)
GSVA_2.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GSVA/json (API)
NEWS

# Install 'GSVA' in R:
install.packages('GSVA', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rcastelo/gsva/issues

On BioConductor:GSVA-2.7.4(bioc 3.24)GSVA-2.6.2(bioc 3.23)

functionalgenomicsmicroarrayrnaseqpathwaysgenesetenrichmentgene-set-enrichmentgenomicspathway-enrichment-analysis

14.26 score 245 stars 21 packages 2.7k scripts 893 mentions 23 exports 95 dependencies

Last updated from:f5804d7c2a (on RELEASE_3_23). Checks:1 NOTE, 13 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE314
linux-devel-arm64OK489
linux-devel-x86_64OK603
source / vignettesOK582
linux-release-arm64OK454
linux-release-x86_64OK548
macos-release-arm64OK385
macos-release-x86_64OK815
macos-oldrel-arm64OK422
macos-oldrel-x86_64OK779
windows-develOK506
windows-releaseOK521
windows-oldrelOK445
wasm-releaseOK269

Exports:computeGeneSetsOverlapdeduplicateGeneSetsfilterGeneSetsgeneIdsToGeneSetCollectiongeneSetsgeneSets<-geneSetSizesgsvagsvaAnnotationgsvaAnnotation<-gsvaEnrichmentgsvaParamgsvaRanksgsvaScoresguessGeneIdTypeigsvaloadHDF5GSVAranksplageParamreadGMTsaveHDF5GSVAranksspatCorssgseaParamzscoreParam

Dependencies:abindannotateAnnotationDbiaskpassassortheadbeachmatBHBiobaseBiocFileCacheBiocGenericsbiocmakeBiocParallelBiocSingularBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIdbplyrDelayedArrayDelayedMatrixStatsdir.expirydplyrfastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomicRangesgluegraphGSEABaseh5mreadHDF5Arrayhttrhttr2IRangesirlbajsonliteKEGGRESTlambda.rlatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisememusemimeopensslpillarpkgconfigpngpurrrR6rappdirsRcpprhdf5rhdf5filtersRhdf5librjsonrlangRSQLitersvdS4ArraysS4VectorsScaledMatrixSeqinfoSingleCellExperimentsnowSparseArraysparseMatrixStatsSpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectutf8vctrswithrXMLxtableXVector

GSVA: gene set variation analysis

Rendered fromGSVA.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-02-19
Started: 2021-02-05

GSVA on proteomics data

Rendered fromGSVA_proteomics.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-05-05
Started: 2026-04-27

GSVA on single-cell RNA-seq data

Rendered fromGSVA_scRNAseq.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-04-24
Started: 2025-10-27

Readme and manuals

Help Manual

Help pageTopics
Compute gene-sets overlapcomputeGeneSetsOverlap computeGeneSetsOverlap,GeneSetCollection,character-method computeGeneSetsOverlap,list,character-method
Handling of Duplicated Gene Set NamesdeduplicateGeneSets
Filter gene setsfilterGeneSets filterGeneSets,GeneSetCollection-method filterGeneSets,list-method
Construct a GeneSetCollection object from a list of character vectorsgeneIdsToGeneSetCollection
Retrieve or Determine Gene SetsgeneSets geneSets,GsvaExprData-method geneSets,GsvaMethodParam-method geneSets,SingleCellExperiment-method geneSets,SpatialExperiment-method geneSets,SummarizedExperiment-method geneSetSizes geneSetSizes,GsvaExprData-method geneSetSizes,GsvaMethodParam-method
Gene Set Variation Analysisgsva gsva,gsvaParam-method gsva,plageParam-method gsva,ssgseaParam-method gsva,zscoreParam-method
Store and Retrieve Annotation MetadatagsvaAnnotation gsvaAnnotation,ExpressionSet-method gsvaAnnotation,GeneSetCollection-method gsvaAnnotation,GsvaExprData-method gsvaAnnotation,list-method gsvaAnnotation,SingleCellExperiment-method gsvaAnnotation,SpatialExperiment-method gsvaAnnotation,SummarizedExperiment-method gsvaAnnotation<- gsvaAnnotation<-,ExpressionSet,character-method gsvaAnnotation<-,ExpressionSet,GeneIdentifierType-method gsvaAnnotation<-,GsvaExprData,GeneIdentifierType-method gsvaAnnotation<-,list,GeneIdentifierType-method gsvaAnnotation<-,SingleCellExperiment,GeneIdentifierType-method gsvaAnnotation<-,SpatialExperiment,GeneIdentifierType-method gsvaAnnotation<-,SummarizedExperiment,GeneIdentifierType-method
GSVA enrichment data and visualizationgsvaEnrichment gsvaEnrichment,gsvaRanksParam-method
'GsvaExprData' classGsvaExprData GsvaExprData-class
'GsvaGeneSets' classGsvaGeneSets-class
'GsvaMethodParam' classGsvaMethodParam-class
'gsvaParam' classanyNA,gsvaParam-method geneSets<- geneSets<-,gsvaRanksParam,GsvaGeneSets-method gsvaParam gsvaParam-class gsvaRanksParam-class
GSVA ranks and scoresgsvaRanks gsvaRanks,gsvaParam-method gsvaScores gsvaScores,gsvaRanksParam-method
Guess the gene identifier type from a list of character vectorsguessGeneIdType
Gene Set Variation Analysisigsva
'plageParam' classplageParam plageParam-class
Import Gene Sets from a GMT FilereadGMT
Save/load GSVA rank values to disk using HDF5 formatloadHDF5GSVAranks saveHDF5GSVAranks
Compute Spatial Autocorrelation for SpatialExperiment objectsspatCor spatCor,SpatialExperiment-method
'ssgseaParam' classanyNA,ssgseaParam-method ssgseaParam ssgseaParam-class
'zscoreParam' classzscoreParam zscoreParam-class