recipe bioconductor-grridge

Better prediction by use of co-data: Adaptive group-regularized ridge regression

Homepage

https://bioconductor.org/packages/3.11/bioc/html/GRridge.html

License

GPL-3

Recipe

/bioconductor-grridge/meta.yaml

This package allows the use of multiple sources of co-data (e.g. external p-values, gene lists, annotation) to improve prediction of binary, continuous and survival response using (logistic, linear or Cox) group-regularized ridge regression. It also facilitates post-hoc variable selection and prediction diagnostics by cross-validation using ROC curves and AUC.

package bioconductor-grridge

(downloads) docker_bioconductor-grridge

Versions

1.12.0-01.10.0-01.8.0-11.6.0-0

Depends
Required By

Installation

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

conda install bioconductor-grridge

and update with:

conda update bioconductor-grridge

or use the docker container:

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

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