recipe bioconductor-topconfects

Top Confident Effect Sizes

Homepage

https://bioconductor.org/packages/3.11/bioc/html/topconfects.html

License

LGPL-2.1 | file LICENSE

Recipe

/bioconductor-topconfects/meta.yaml

Rank results by confident effect sizes, while maintaining False Discovery Rate and False Coverage-statement Rate control. Topconfects is alternative presentation of TREAT results with improved usability, eliminating p-values and instead providing confidence bounds. The main application is differential gene expression analysis, providing genes ranked in order of confident log2 fold change, but it can be applied to any collection of effect sizes with associated standard errors.

package bioconductor-topconfects

Versions

1.4.0-0,  1.2.0-0,  1.0.0-1

Depends

• r-assertthat

• r-base >=4.0,<4.1.0a0

• r-ggplot2

Required By

• bioconductor-metavolcanor

Installation

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

conda install bioconductor-topconfects

and update with:

conda update bioconductor-topconfects

or use the docker container:

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

(see bioconductor-topconfects/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-topconfects/README.html)