recipe bioconductor-empiricalbrownsmethod

Uses Brown's method to combine p-values from dependent tests

Homepage

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

License

MIT + file LICENSE

Recipe

/bioconductor-empiricalbrownsmethod/meta.yaml

Links

biotools: empiricalbrownsmethod, doi: 10.1093/bioinformatics/btw438

Combining P-values from multiple statistical tests is common in bioinformatics. However, this procedure is non-trivial for dependent P-values. This package implements an empirical adaptation of Brown’s Method (an extension of Fisher’s Method) for combining dependent P-values which is appropriate for highly correlated data sets found in high-throughput biological experiments.

package bioconductor-empiricalbrownsmethod

(downloads) docker_bioconductor-empiricalbrownsmethod

Versions

1.16.0-01.14.0-01.12.0-11.12.0-01.10.0-01.8.0-01.6.0-0

Depends
Required By

Installation

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

conda install bioconductor-empiricalbrownsmethod

and update with:

conda update bioconductor-empiricalbrownsmethod

or use the docker container:

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

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