recipe bioconductor-ihw

Independent Hypothesis Weighting

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/IHW.html

License:

Artistic-2.0

Recipe:

/bioconductor-ihw/meta.yaml

Links:

biotools: IHW, doi: 10.1038/nmeth.3885

Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.

package bioconductor-ihw

(downloads) docker_bioconductor-ihw

Versions:
1.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.14.0-01.12.0-11.10.1-01.10.0-0

1.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.14.0-01.12.0-11.10.1-01.10.0-01.8.0-01.6.0-01.4.0-01.2.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-ihw

and update with:

conda update bioconductor-ihw

or use the docker container:

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

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

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