recipe bioconductor-methyvim

This package provides facilities for differential methylation analysis based on variable importance measures (VIMs), a class of statistical target parameters that arise in causal inference. The estimation and inference procedures provided are nonparametric, relying on ensemble machine learning to flexibly assess functional relationships among covariates and the outcome of interest. These tools can be applied to differential methylation at the level of CpG sites, to obtain valid statistical inference even after corrections for multiple hypothesis testing.

Homepage

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

License

file LICENSE

Recipe

/bioconductor-methyvim/meta.yaml

package bioconductor-methyvim

(downloads) docker_bioconductor-methyvim

Versions

1.4.0-0

Depends
Required By

Installation

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

conda install bioconductor-methyvim

and update with:

conda update bioconductor-methyvim

or use the docker container:

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

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