Package: GSVA 1.53.3

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]

GSVA_1.53.3.tar.gz
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GSVA.pdf |GSVA.html
GSVA/json (API)
NEWS

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

Peer review:

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

On BioConductor:GSVA-1.53.3(bioc 3.20)GSVA-1.52.3(bioc 3.19)

bioconductor-package

12 exports 6.70 score 93 dependencies 17 dependents 893 mentions

Last updated 1 months agofrom:0b0f8dd4f1

Exports:computeGeneSetsOverlapdeduplicateGeneSetsfilterGeneSetsgeneSetsgeneSetSizesgsvagsvaParamigsvaplageParamreadGMTssgseaParamzscoreParam

Dependencies:abindannotateAnnotationDbiaskpassbeachmatBHBiobaseBiocFileCacheBiocGenericsBiocParallelBiocSingularBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIdbplyrDelayedArrayDelayedMatrixStatsdplyrfansifastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegraphGSEABaseHDF5ArrayhttrIRangesirlbajsonliteKEGGRESTlambda.rlatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngpurrrR6Rcpprhdf5rhdf5filtersRhdf5librjsonrlangRSQLitersvdS4ArraysS4VectorsScaledMatrixSingleCellExperimentsnowSparseArraysparseMatrixStatsSpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrXMLxtableXVectorzlibbioc

GSVA: gene set variation analysis

Rendered fromGSVA.Rmdusingknitr::rmarkdownon Jul 07 2024.

Last update: 2024-04-16
Started: 2021-02-05

Readme and manuals

Help Manual

Help pageTopics
Compute gene-sets overlapcomputeGeneSetsOverlap computeGeneSetsOverlap,GeneSetCollection,character-method computeGeneSetsOverlap,GeneSetCollection,ExpressionSet-method computeGeneSetsOverlap,list,character-method computeGeneSetsOverlap,list,ExpressionSet-method
Handling of Duplicated Gene Set NamesdeduplicateGeneSets
Filter gene setsfilterGeneSets filterGeneSets,GeneSetCollection-method filterGeneSets,list-method
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
'GsvaExprData' classGsvaExprData GsvaExprData-class
'GsvaGeneSets' classGsvaGeneSets-class
'GsvaMethodParam' classGsvaMethodParam-class
'gsvaParam' classgsvaParam gsvaParam-class
Gene Set Variation Analysisigsva
'plageParam' classplageParam plageParam-class
Import Gene Sets from a GMT FilereadGMT
'ssgseaParam' classssgseaParam ssgseaParam-class
'zscoreParam' classzscoreParam zscoreParam-class