mvGST

This package is for version 3.6 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see mvGST.

Multivariate and directional gene set testing


Bioconductor version: 3.6

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>

Citation (from within R, enter citation("mvGST")):

Installation

To install this package, start R (version "3.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("mvGST")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("mvGST")
mvGST Tutorial Vignette PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GO, GeneSetEnrichment, GraphAndNetwork, Microarray, OneChannel, Pathways, RNASeq, Software
Version 1.12.2
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL-3
Depends R (>= 2.10.0), GO.db, Rgraphviz
Imports gProfileR, stringr, topGO, GOstats, annotate, AnnotationDbi, graph
System Requirements
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Suggests hgu133plus2.db, org.Hs.eg.db
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Package Archives

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

Source Package mvGST_1.12.2.tar.gz
Windows Binary mvGST_1.12.2.zip
Mac OS X 10.11 (El Capitan) mvGST_1.12.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/mvGST
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mvGST
Package Short Url https://bioconductor.org/packages/mvGST/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive