- recipe bioconductor-pareg
Pathway enrichment using a regularized regression approach
- Homepage:
- License:
GPL-3
- Recipe:
Compute pathway enrichment scores while accounting for term-term relations. This package uses a regularized multiple linear regression to regress differential expression p-values obtained from multi-condition experiments on a pathway membership matrix. By doing so, it is able to incorporate additional biological knowledge into the enrichment analysis and to estimate pathway enrichment scores more robustly.
- package bioconductor-pareg¶
-
- Versions:
1.2.0-0
- Depends:
bioconductor-dose
>=3.24.0,<3.25.0
r-base
>=4.2,<4.3.0a0
r-tensorflow
>=2.2.0
r-tfprobability
>=0.10.0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-pareg
and update with:
conda update bioconductor-pareg
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-pareg:<tag>
(see bioconductor-pareg/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-pareg/README.html)