recipe bioconductor-gep2pep

Pathway Expression Profiles (PEPs) are based on the expression of pathways (defined as sets of genes) as opposed to individual genes. This package converts gene expression profiles to PEPs and performs enrichment analysis of both pathways and experimental conditions, such as “drug set enrichment analysis” and “gene2drug” drug discovery analysis respectively.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/gep2pep.html

License

GPL-3

Recipe

/bioconductor-gep2pep/meta.yaml

package bioconductor-gep2pep

(downloads) docker_bioconductor-gep2pep

Versions

1.2.0-0

Depends bioconductor-biobase

>=2.42.0,<2.43.0

Depends bioconductor-gseabase

>=1.44.0,<1.45.0

Depends bioconductor-rhdf5

>=2.26.0,<2.27.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-digest

Depends r-foreach

Depends r-iterators

Depends r-repo

>=2.1.1

Depends r-xml

Requirements

Installation

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

conda install bioconductor-gep2pep

and update with:

conda update bioconductor-gep2pep

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-gep2pep:<tag>

(see bioconductor-gep2pep/tags for valid values for <tag>)

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-gep2pep/README.html)