- recipe bioconductor-roseq
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
- Homepage
- License
GPL-3
- Recipe
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
- 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:
[](http://bioconda.github.io/recipes/bioconductor-roseq/README.html)