recipe bioconductor-singscore

Rank-based single-sample gene set scoring method

Homepage:

https://bioconductor.org/packages/3.16/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:

1.18.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.2.2-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-gseabase >=1.60.0,<1.61.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-ggplot2

• r-ggrepel

• r-magrittr

• r-matrixstats

• r-plotly

• r-plyr

• r-rcolorbrewer

• r-reshape

• r-reshape2

• r-tidyr

Required By:

• bioconductor-tbsignatureprofiler

• r-consensustme

Installation

With an activated Bioconda channel (see 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>)

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