recipe bioconductor-bacon

Controlling bias and inflation in association studies using the empirical null distribution

Homepage

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

License

GPL (>= 2)

Recipe

/bioconductor-bacon/meta.yaml

Links

biotools: bacon

Bacon can be used to remove inflation and bias often observed in epigenome- and transcriptome-wide association studies. To this end bacon constructs an empirical null distribution using a Gibbs Sampling algorithm by fitting a three-component normal mixture on z-scores.

package bioconductor-bacon

Versions

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.10.1-0,  1.10.0-0,  1.8.0-0,  1.6.0-0, 

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.10.1-0,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-0

Depends

• bioconductor-biocparallel >=1.24.0,<1.25.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.5.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.0,<4.1.0a0

• r-ellipse

• r-ggplot2

Required By

Installation

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

conda install bioconductor-bacon

and update with:

conda update bioconductor-bacon

or use the docker container:

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

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

Link to this page

Render an 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-bacon/README.html)