recipe bioconductor-singscore

Rank-based single-sample gene set scoring method

Homepage

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

License

GPL-3

Recipe

/bioconductor-singscore/meta.yaml

A simple single-sample gene signature scoring method that uses rank-based statistics to analyze the sample’s gene expression profile. It scores the expression activities of gene sets at a single-sample level.

package bioconductor-singscore

Versions

1.8.0-0, 1.6.0-0, 1.4.0-1, 1.2.2-0

Depends

• bioconductor-biobase >=2.48.0,<2.49.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-edger >=3.30.0,<3.31.0

• bioconductor-gseabase >=1.50.0,<1.51.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-base >=4.0,<4.1.0a0

• r-ggplot2

• r-ggrepel

• r-magrittr

• r-matrixstats

• r-plotly

• r-plyr

• r-rcolorbrewer

• r-reshape

• r-reshape2

• r-tidyr

Required By

• bioconductor-tbsignatureprofiler

Installation

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

conda install bioconductor-singscore

and update with:

conda update bioconductor-singscore

or use the docker container:

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

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