Multivariate and directional gene set testing
Description
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.