mvGST

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see mvGST.

Multivariate and directional gene set testing

Bioconductor version: 3.2

mvGST provides platform-independent tools to identify GO terms (gene sets) that are differentially active (up or down) in multiple contrasts of interest. Given a matrix of one-sided p-values (rows for genes, columns for contrasts), mvGST uses meta-analytic methods to combine p-values for all genes annotated to each gene set, and then classify each gene set as being significantly more active (1), less active (-1), or not significantly differentially active (0) in each contrast of interest. With multiple contrasts of interest, each gene set is assigned to a profile (across contrasts) of differential activity. Tools are also provided for visualizing (in a GO graph) the gene sets classified to a given profile.

Author: John R. Stevens and Dennis S. Mecham

Maintainer: John R. Stevens <john.r.stevens at usu.edu>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mvGST")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mvGST")

Details

Package Archives

Follow Installation instructions to use this package in your R session.