recipe bioconductor-adaptest

Data-adaptive test statistics represent a general methodology for performing multiple hypothesis testing on effects sizes while maintaining honest statistical inference when operating in high-dimensional settings (<doi here>). The utilities provided here extend the use of this general methodology to many common data analytic challenges that arise in modern computational and genomic biology.

Homepage

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

License

GPL-2

Recipe

/bioconductor-adaptest/meta.yaml

package bioconductor-adaptest

(downloads) docker_bioconductor-adaptest

Versions

1.4.0-1, 1.2.0-0

Depends
Required By

Installation

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

conda install bioconductor-adaptest

and update with:

conda update bioconductor-adaptest

or use the docker container:

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

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