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GSVA

Gene Set Variation Analysis for Microarray and RNA-Seq Data

Bioconductor version: 3.23 · Package version: 2.6.5

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GSVA")

Details

MaintainerRobert Castelo <robert.castelo@upf.edu>
AuthorRobert Castelo [aut, cre] (ORCID: <https://orcid.org/0000-0003-2229-4508>), Justin Guinney [aut], Alexey Sergushichev [ctb], Pablo Sebastian Rodriguez [ctb], Axel Klenk [ctb], Chan Zuckerberg Initiative (CZI) [fnd], Spanish Ministry of Science, Innovation and Universities (MCIU) [fnd]
LicenseArtistic-2.0
URLhttps://github.com/rcastelo/GSVA
Bug Reportshttps://github.com/rcastelo/GSVA/issues
Downloads rank11123
Source branchRELEASE_3_23
biocViewsFunctionalGenomics, GeneSetEnrichment, Microarray, Pathways, RNASeq, Software

Documentation

Download

Dependencies

Depends: R (>= 4.0.0)

Imports: methods, stats, utils, graphics, BiocGenerics, MatrixGenerics, S4Vectors, S4Arrays, HDF5Array, SparseArray, DelayedArray, IRanges, Biobase, SummarizedExperiment, GSEABase, Matrix (>= 1.5-0), DelayedMatrixStats, BiocParallel, SingleCellExperiment, BiocSingular, SpatialExperiment, sparseMatrixStats, cli, memuse

LinkingTo: cli

Suggests: RUnit, BiocStyle, knitr, rmarkdown, limma, RColorBrewer, org.Hs.eg.db, genefilter, edgeR, GSVAdata, sva, ExperimentHub, TENxPBMCData, TENxVisiumData, spatialLIBD, scrapper, bluster, igraph, ggspavis, patchwork, ggplot2, shiny, shinydashboard, data.table, plotly, future, promises, shinybusy, shinyjs

Reverse dependencies

Depends On Me (1): SMDIC

Imports Me (21): autoGO, clustermole, consensusOV, DRviaSPCN, EGSEA, GSABenchmark, GSEMA, IOBR, octad, oppar, pathMED, plaid, psSubpathway, scFeatures, scMappR, SIGN, signifinder, singleCellTK, spatialGE, SubtypeDrug, TBSignatureProfiler

Suggests Me (8): decoupleR, escape, futurize, MCbiclust, mitology, ReporterScore, sparrow, SPONGE