recipe bioconductor-roseq

Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data

Homepage

https://bioconductor.org/packages/3.14/bioc/html/ROSeq.html

License

GPL-3

Recipe

/bioconductor-roseq/meta.yaml

ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. ROSeq takes filtered and normalized read matrix and cell-annotation/condition as input and determines the differentially expressed genes between the contrasting groups of single cells. One of the input parameters is the number of cores to be used.

package bioconductor-roseq

Versions

1.6.0-0,  1.4.0-0,  1.2.10-0,  1.2.0-0,  1.0.0-0

Depends

• bioconductor-edger >=3.36.0,<3.37.0

• bioconductor-limma >=3.50.0,<3.51.0

• r-base >=4.1,<4.2.0a0

• r-pbmcapply

Required By

Installation

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

conda install bioconductor-roseq

and update with:

conda update bioconductor-roseq

or use the docker container:

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

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