# GSVA: gene set variation analysis for microarray and RNA-seq data
[](http://bioconductor.org/packages/release/bioc/html/GSVA.html "How long has been GSVA in a release of Bioconductor")
[](http://bioconductor.org/packages/stats/bioc/GSVA.html "Percentile (top 5/20/50% or 'available') of downloads over the last 6 full months")
[](http://bioconductor.org/packages/devel/bioc/html/GSVA.html#svn_source "Average SVN commits (to the devel branch) per month over the last 6 months")
[](https://support.bioconductor.org/t/GSVA/ "Bioconductor support site activity on GSVA, last 6 months: tagged questions/avg. answers per question/avg. comments per question/accepted answers, or 0 if no tagged posts.")
**Current build status**
- `release` [](http://bioconductor.org/packages/release/bioc/html/GSVA.html#archives "Whether GSVA release is available on all platforms")
[](http://bioconductor.org/checkResults/release/bioc-LATEST/GSVA/ "Bioconductor release build")
- `development` [](http://bioconductor.org/packages/devel/bioc/html/GSVA.html#archives "Whether GSVA devel is available on all platforms")
[](http://bioconductor.org/checkResults/devel/bioc-LATEST/GSVA/ "Bioconductor devel build")
## Installation
This is the __development__ version of the R/Bioconductor package GSVA. This version is unstable and should be used only to test new features. If you are looking for the __release__ version of this package please go to its package release landing page at [http://bioconductor.org/packages/GSVA](http://bioconductor.org/packages/GSVA) and follow the instructions there to install it.
If you were really looking for this development version, then to install it you
need first to install the development version of R that you can find at [http://cran.r-project.org](http://cran.r-project.org) and then type the following instructions from the R shell:
```r
source("http://bioconductor.org/biocLite.R")
library(BiocInstaller)
useDevel()
biocLite("GSVA")
```
Alternatively, you can install it from GitHub using the [devtools](https://github.com/hadley/devtools "devtools") package.
```r
install.packages("devtools")
library(devtools)
install_github("rcastelo/GSVA")
```
## Questions, bug reports and issues
For questions and bug reports regarding the __release__ version of **GSVA**
please use the [Bioconductor support site](http://support.bioconductor.org "Bioconductor support site").
For bug reports and issues regarding this __development__ version of **GSVA**
please use the GitHub issues link at the top-right of this page
([https://github.com/rcastelo/GSVA/issues](https://github.com/rcastelo/GSVA/issues)).