recipe bioconductor-dcgsa

Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles

Homepage

https://bioconductor.org/packages/3.12/bioc/html/dcGSA.html

License

GPL-2

Recipe

/bioconductor-dcgsa/meta.yaml

Links

biotools: dcgsa, doi: 10.1038/nmeth.3252

Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles. In longitudinal studies, the gene expression profiles were collected at each visit from each subject and hence there are multiple measurements of the gene expression profiles for each subject. The dcGSA package could be used to assess the associations between gene sets and clinical outcomes of interest by fully taking advantage of the longitudinal nature of both the gene expression profiles and clinical outcomes.

package bioconductor-dcgsa

(downloads) docker_bioconductor-dcgsa

Versions

1.18.0-01.16.0-01.14.0-01.12.0-11.12.0-01.10.1-01.10.0-01.8.0-01.6.0-0

Depends
Required By

Installation

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

conda install bioconductor-dcgsa

and update with:

conda update bioconductor-dcgsa

or use the docker container:

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

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