recipe bioconductor-cellmixs

Evaluate Cellspecific Mixing

Homepage:

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

License:

GPL (>=2)

Recipe:

/bioconductor-cellmixs/meta.yaml

CellMixS provides metrics and functions to evaluate batch effects, data integration and batch effect correction in single cell trancriptome data with single cell resolution. Results can be visualized and summarised on different levels, e.g. on cell, celltype or dataset level.

package bioconductor-cellmixs

Versions:

1.14.0-0,  1.10.0-0,  1.8.0-0,  1.6.1-0,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocneighbors >=1.16.0,<1.17.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-scater >=1.26.0,<1.27.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-cowplot

• r-dplyr

• r-ggplot2

• r-ggridges

• r-ksamples

• r-magrittr

• r-purrr

• r-tidyr

• r-viridis

Required By:

Installation

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

conda install bioconductor-cellmixs

and update with:

conda update bioconductor-cellmixs

or use the docker container:

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

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