recipe bioconductor-attract

This package contains the functions to find the gene expression modules that represent the drivers of Kauffman’s attractor landscape. The modules are the core attractor pathways that discriminate between different cell types of groups of interest. Each pathway has a set of synexpression groups, which show transcriptionally-coordinated changes in gene expression.

Homepage

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

License

LGPL (>= 2.0)

Recipe

/bioconductor-attract/meta.yaml

package bioconductor-attract

(downloads) docker_bioconductor-attract

Versions

1.34.0-0

Depends bioconductor-annotationdbi

>=1.44.0,<1.45.0

Depends bioconductor-biobase

>=2.42.0,<2.43.0

Depends bioconductor-gostats

>=2.48.0,<2.49.0

Depends bioconductor-keggrest

>=1.22.0,<1.23.0

Depends bioconductor-limma

>=3.38.0,<3.39.0

Depends bioconductor-org.hs.eg.db

>=3.7.0,<3.8.0

Depends bioconductor-reactome.db

>=1.66.0,<1.67.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-cluster

Requirements

Installation

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

conda install bioconductor-attract

and update with:

conda update bioconductor-attract

or use the docker container:

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

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