recipe bioconductor-singscore

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.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/singscore.html

License

GPL-3

Recipe

/bioconductor-singscore/meta.yaml

package bioconductor-singscore

(downloads) docker_bioconductor-singscore

Versions

1.2.2-0

Depends bioconductor-biobase

>=2.42.0,<2.43.0

Depends bioconductor-biocparallel

>=1.16.0,<1.17.0

Depends bioconductor-edger

>=3.24.0,<3.25.0

Depends bioconductor-gseabase

>=1.44.0,<1.45.0

Depends bioconductor-summarizedexperiment

>=1.12.0,<1.13.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-ggplot2

Depends r-ggrepel

Depends r-ggsci

Depends r-magrittr

Depends r-matrixstats

Depends r-plotly

Depends r-plyr

Depends r-rcolorbrewer

Depends r-reshape

Depends r-tidyr

Requirements

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>)