recipe bioconductor-hybridmtest

Hybrid Multiple Testing

Homepage

https://bioconductor.org/packages/3.14/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

Versions

1.38.0-0,  1.36.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.26.0-0,  1.24.0-0, 

1.38.0-0,  1.36.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• r-base >=4.1,<4.2.0a0

• r-fdrtool

• r-mass

• r-survival

Required By

Installation

With an activated Bioconda channel (see 2. 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>)

Download stats

Link to this page

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