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
| Maintainer | Robert Castelo <robert.castelo@upf.edu> |
| Author | Robert 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] |
| License | Artistic-2.0 |
| URL | https://github.com/rcastelo/GSVA |
| Bug Reports | https://github.com/rcastelo/GSVA/issues |
| Downloads rank | 11123 |
| Source branch | RELEASE_3_23 |
| biocViews | FunctionalGenomics, GeneSetEnrichment, Microarray, Pathways, RNASeq, Software |
Documentation
- GSVA: gene set variation analysis
- GSVA on proteomics data
- GSVA on single-cell RNA-seq data
- GSVA on spatial omics data
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