bioconductor-m3drop

downloads

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.

Home http://bioconductor.org/packages/3.7/bioc/html/M3Drop.html
Versions 1.2.0, 1.4.0, 1.6.0
License GPL (>=2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-m3drop
Links biotools: m3drop, doi: 10.1002/1873-3468.12684

Installation

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

conda install bioconductor-m3drop

and update with:

conda update bioconductor-m3drop

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-m3drop.