recipe bioconductor-mvgst

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.

Homepage

http://bioconductor.org/packages/3.6/bioc/html/mvGST.html

License

GPL-3

Recipe

/bioconductor-mvgst/meta.yaml

Links

biotools: mvgst, doi: 10.1038/nmeth.3252

package bioconductor-mvgst

(downloads) docker_bioconductor-mvgst

Versions

1.12.0-0, 1.10.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-mvgst

and update with:

conda update bioconductor-mvgst

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-mvgst:<tag>

(see bioconductor-mvgst/tags for valid values for <tag>)