GSVA

Bioc current

Gene Set Variation Analysis for Microarray and RNA-Seq Data

v2.6.2 · software · Artistic-2.0

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Release Lineage

Entered 2.8 · Apr 14, 2011

Current · Requires R 4.6

1.0 In 31 of 49 releases 3.23

Description

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.

Code

Code metrics have not been computed for this package yet.

Topics

Software › ResearchField › FunctionalGenomics

Software › Technology › Microarray

Software › Technology › Sequencing › RNASeq

Software › WorkflowStep › Pathways

Software › BiologicalQuestion › GeneSetEnrichment

Depended on by (34)

CRAN (13)

SMDIC DRviaSPCN GSEMA IOBR SIGN SubtypeDrug autoGO clustermole psSubpathway scMappR spatialGE ReporterScore futurize

People

Robert Castelo author maintainer
Chan Zuckerberg Initiative (CZI) fnd
Spanish Ministry of Science, Innovation and Universities (MCIU) fnd
Justin Guinney author
Axel Klenk contributor
Pablo Sebastian Rodriguez contributor
Alexey Sergushichev contributor