recipe bioconductor-empiricalbrownsmethod

Uses Brown's method to combine p-values from dependent tests

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/EmpiricalBrownsMethod.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-empiricalbrownsmethod/meta.yaml

Links:

biotools: empiricalbrownsmethod, doi: 10.1093/bioinformatics/btw438

Combining P-values from multiple statistical tests is common in bioinformatics. However, this procedure is non-trivial for dependent P-values. This package implements an empirical adaptation of Brown’s Method (an extension of Fisher’s Method) for combining dependent P-values which is appropriate for highly correlated data sets found in high-throughput biological experiments.

package bioconductor-empiricalbrownsmethod

(downloads) docker_bioconductor-empiricalbrownsmethod

versions:
1.30.0-0,  1.28.0-0,  1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0, 

1.30.0-0,  1.28.0-0,  1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-0

depends r-base:

>=4.3,<4.4.0a0

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-empiricalbrownsmethod

and update with::

   mamba update bioconductor-empiricalbrownsmethod

To create a new environment, run:

mamba create --name myenvname bioconductor-empiricalbrownsmethod

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

(see `bioconductor-empiricalbrownsmethod/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-empiricalbrownsmethod/README.html)