Package: GSVA 2.1.4

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_2.1.4.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-2.1.3(bioc 3.21)GSVA-2.0.3(bioc 3.20)

functionalgenomicsmicroarrayrnaseqpathwaysgenesetenrichmentgene-set-enrichmentgenomicspathway-enrichment-analysis

14.71 score 205 stars 19 packages 1.6k scripts 12k downloads 893 mentions 21 exports 94 dependencies

Last updated 1 days agofrom:c5e276ec39. Checks:OK: 4 NOTE: 2 ERROR: 3. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-win-x86_64NOTEDec 18 2024
R-4.5-linux-x86_64NOTEDec 18 2024
R-4.4-win-x86_64OKDec 18 2024
R-4.4-mac-x86_64OKDec 18 2024
R-4.4-mac-aarch64OKDec 18 2024
R-4.3-win-x86_64ERRORDec 18 2024
R-4.3-mac-x86_64ERRORDec 18 2024
R-4.3-mac-aarch64ERRORDec 18 2024

Exports:computeGeneSetsOverlapdeduplicateGeneSetsfilterGeneSetsgeneIdsToGeneSetCollectiongeneSetsgeneSets<-geneSetSizesgsvagsvaAnnotationgsvaAnnotation<-gsvaEnrichmentgsvaParamgsvaRanksgsvaScoresguessGeneIdTypeigsvaplageParamreadGMTspatCorssgseaParamzscoreParam

Dependencies:abindannotateAnnotationDbiaskpassassortheadbeachmatBHBiobaseBiocFileCacheBiocGenericsBiocParallelBiocSingularBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIdbplyrDelayedArrayDelayedMatrixStatsdplyrfansifastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegraphGSEABaseHDF5ArrayhttrIRangesirlbajsonliteKEGGRESTlambda.rlatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngpurrrR6Rcpprhdf5rhdf5filtersRhdf5librjsonrlangRSQLitersvdS4ArraysS4VectorsScaledMatrixSingleCellExperimentsnowSparseArraysparseMatrixStatsSpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrXMLxtableXVectorzlibbioc

GSVA: gene set variation analysis

Rendered fromGSVA.Rmdusingknitr::rmarkdownon Dec 18 2024.

Last update: 2024-10-21
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
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' classgeneSets<- 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
Compute Spatial Autocorrelation for SpatialExperiment objectsspatCor spatCor,SpatialExperiment-method
'ssgseaParam' classanyNA,gsvaParam-method anyNA,ssgseaParam-method ssgseaParam ssgseaParam-class
'zscoreParam' classzscoreParam zscoreParam-class