- recipe bioconductor-gmicr
Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)
- Homepage:
- License:
GPL-2 + file LICENSE
- Recipe:
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-base
>=4.2,<4.3.0a0
- 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-gmicr/README.html)