recipe bioconductor-biomm

The identification of reproducible biological patterns from high-dimensional omics data is a key factor in understanding the biology of complex disease or traits. Incorporating prior biological knowledge into machine learning is an important step in advancing such research. We have proposed a biologically informed multi-stage machine learing framework termed BioMM specifically for phenotype prediction based on omics-scale data where we can evaluate different machine learning models with various prior biological meta information.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/BioMM.html

License

GPL-3

Recipe

/bioconductor-biomm/meta.yaml

package bioconductor-biomm

(downloads) docker_bioconductor-biomm

Versions

1.0.0-1

Depends
Required By

Installation

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

conda install bioconductor-biomm

and update with:

conda update bioconductor-biomm

or use the docker container:

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

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