recipe bioconductor-escape

Easy single cell analysis platform for enrichment

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/escape.html

License:

GPL-2

Recipe:

/bioconductor-escape/meta.yaml

A bridging R package to facilitate gene set enrichment analysis (GSEA) in the context of single-cell RNA sequencing. Using raw count information, Seurat objects, or SingleCellExperiment format, users can perform and visualize GSEA across individual cells.

package bioconductor-escape

Versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-2,  1.0.0-1

Depends:

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-gseabase >=1.60.0,<1.61.0

• bioconductor-gsva >=1.46.0,<1.47.0

• bioconductor-matrixgenerics >=1.10.0,<1.11.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• bioconductor-ucell >=2.2.0,<2.3.0

• r-base >=4.2,<4.3.0a0

• r-broom

• r-data.table

• r-dplyr

• r-ggplot2

• r-ggridges

• r-matrix

• r-msigdbr

• r-patchwork

• r-reshape2

• r-rlang

• r-stringr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-escape

and update with:

conda update bioconductor-escape

or use the docker container:

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

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

Download stats

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-escape/README.html)