r-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.
- Versions: 2.2.0
- Website: https://github.com/rcastelo/GSVA
- Licenses: GPL 2+
- Package source: gnu/packages/bioconductor.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-gsva as follows:
guix install r-gsva
Or install a particular version:
guix install r-gsva@2.2.0
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.
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