recipe bioconductor-hybridmtest

Hybrid Multiple Testing

Homepage:

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

License:

GPL Version 2 or later

Recipe:

/bioconductor-hybridmtest/meta.yaml

Links:

biotools: hybridmtest, doi: 10.1038/nmeth.3252

Performs hybrid multiple testing that incorporates method selection and assumption evaluations into the analysis using empirical Bayes probability (EBP) estimates obtained by Grenander density estimation. For instance, for 3-group comparison analysis, Hybrid Multiple testing considers EBPs as weighted EBPs between F-test and H-test with EBPs from Shapiro Wilk test of normality as weigth. Instead of just using EBPs from F-test only or using H-test only, this methodology combines both types of EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses then the law of total EBPs.

package bioconductor-hybridmtest

(downloads) docker_bioconductor-hybridmtest

Versions:
1.42.0-01.38.0-01.36.0-01.34.0-11.34.0-01.32.0-01.30.0-01.28.0-11.26.0-0

1.42.0-01.38.0-01.36.0-01.34.0-11.34.0-01.32.0-01.30.0-01.28.0-11.26.0-01.24.0-01.22.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-hybridmtest

and update with:

conda update bioconductor-hybridmtest

or use the docker container:

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

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

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