Gene Set Variation Analysis for microarray and RNA-seq data

Description

<br /> Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised <br /> method for estimating variation of gene set enrichment through the<br /> samples of a expression data set. GSVA performs a change in coordinate<br /> systems, transforming the data from a gene by sample matrix to a gene-set<br /> by sample matrix, thereby allowing the evaluation of pathway enrichment <br /> for each sample. This new matrix of GSVA enrichment scores facilitates<br /> applying standard analytical methods like functional enrichment, <br /> survival analysis, clustering, CNV-pathway analysis or cross-tissue <br /> pathway analysis, in a pathway-centric manner.<br /> <br /> main function of the package which estimates activity<br /> scores For Each given gene-Set

Usage

gsva(expr, geneSet,
    name.suffix = FALSE);

Arguments