mvGST: Multivariate and directional gene set testing
Version 1.12.0

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.

Package details

AuthorJohn R. Stevens and Dennis S. Mecham
Bioconductor views DifferentialExpression GO GeneSetEnrichment GraphAndNetwork Microarray OneChannel Pathways RNASeq
MaintainerJohn R. Stevens <[email protected]>
LicenseGPL-3
Version1.12.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("mvGST")

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mvGST documentation built on Nov. 17, 2017, 8:28 a.m.