recipe bioconductor-gmicr

Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/GmicR.html

License:

GPL-2 + file LICENSE

Recipe:

/bioconductor-gmicr/meta.yaml

This package uses bayesian network learning to detect relationships between Gene Modules detected by WGCNA and immune cell signatures defined by xCell. It is a hypothesis generating tool.

package bioconductor-gmicr

Versions:

1.12.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-annotationdbi >=1.60.0,<1.61.0

• bioconductor-category >=2.64.0,<2.65.0

• bioconductor-gostats >=2.64.0,<2.65.0

• bioconductor-gseabase >=1.60.0,<1.61.0

• bioconductor-org.hs.eg.db >=3.16.0,<3.17.0

• bioconductor-org.mm.eg.db >=3.16.0,<3.17.0

• r-ape

• r-base >=4.2,<4.3.0a0

• r-bnlearn

• r-data.table

• r-doparallel

• r-dt

• r-foreach

• r-grain

• r-grbase

• r-reshape2

• r-shiny

• r-wgcna

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-gmicr

and update with:

conda update bioconductor-gmicr

or use the docker container:

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

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

Download stats

Link to this page

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