Skip to content
Sections
>> Trisquel >> Packages >> aramo >> gnu-r >> r-bioc-gsva
aramo  ]
[ Source: r-bioc-gsva  ]

Package: r-bioc-gsva (1.42.0+ds-1)

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.

Other Packages Related to r-bioc-gsva

  • depends
  • recommends
  • suggests
  • rec: r-cran-fastmatch
    GNU R package for fast match replacement for repeated look-ups
  • rec: r-cran-runit
    GNU R package providing unit testing framework

Download r-bioc-gsva

Download for all available architectures
Architecture Package Size Installed Size Files
amd64 761.9 kB911 kB [list of files]
arm64 767.6 kB919 kB [list of files]
armhf 760.9 kB902 kB [list of files]
ppc64el 763.1 kB963 kB [list of files]