recipe bioconductor-enmcb

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Homepage

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

License

GPL-2

Recipe

/bioconductor-enmcb/meta.yaml

Creation of the correlated blocks using DNA methylation profiles. A stacked ensemble of machine learning models, which combined the support vector machine and elastic-net regression model, can be constructed to predict disease progression.

package bioconductor-enmcb

(downloads) docker_bioconductor-enmcb

Versions

1.0.2-0

Depends
Required By

Installation

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

conda install bioconductor-enmcb

and update with:

conda update bioconductor-enmcb

or use the docker container:

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

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