recipe bioconductor-quantro

A test for when to use quantile normalization

Homepage

https://bioconductor.org/packages/3.12/bioc/html/quantro.html

License

GPL (>=3)

Recipe

/bioconductor-quantro/meta.yaml

Links

biotools: quantro

A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.

package bioconductor-quantro

(downloads) docker_bioconductor-quantro

Versions

1.24.0-01.22.0-01.20.0-01.18.0-11.16.0-11.16.0-01.14.0-01.12.0-01.10.0-0

Depends
Required By

Installation

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

conda install bioconductor-quantro

and update with:

conda update bioconductor-quantro

or use the docker container:

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

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