recipe bioconductor-dce

Pathway Enrichment Based on Differential Causal Effects

Homepage

https://bioconductor.org/packages/3.13/bioc/html/dce.html

License

GPL-3

Recipe

/bioconductor-dce/meta.yaml

Compute differential causal effects (dce) on (biological) networks. Given observational samples from a control experiment and non-control (e.g., cancer) for two genes A and B, we can compute differential causal effects with a (generalized) linear regression. If the causal effect of gene A on gene B in the control samples is different from the causal effect in the non-control samples the dce will differ from zero. We regularize the dce computation by the inclusion of prior network information from pathway databases such as KEGG.

package bioconductor-dce

(downloads) docker_bioconductor-dce

Versions

1.0.0-0

Depends
Required By

Installation

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

conda install bioconductor-dce

and update with:

conda update bioconductor-dce

or use the docker container:

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

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

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