recipe bioconductor-m3drop

This package fits a Michaelis-Menten model to the pattern of dropouts in single-cell RNASeq data. This model is used as a null to identify significantly variable (i.e. differentially expressed) genes for use in downstream analysis, such as clustering cells.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/M3Drop.html

License

GPL (>=2)

Recipe

/bioconductor-m3drop/meta.yaml

Links

biotools: m3drop, doi: 10.1002/1873-3468.12684

package bioconductor-m3drop

(downloads) docker_bioconductor-m3drop

Versions

1.10.0-0, 1.8.1-0, 1.6.0-0, 1.4.0-0, 1.2.0-0

Depends
Required By

Installation

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

conda install bioconductor-m3drop

and update with:

conda update bioconductor-m3drop

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-m3drop:<tag>

(see bioconductor-m3drop/tags for valid values for <tag>)