recipe bioconductor-desingle

DEsingle for detecting three types of differential expression in single-cell RNA-seq data






DEsingle is an R package for differential expression (DE) analysis of single-cell RNA-seq (scRNA-seq) data. It defines and detects 3 types of differentially expressed genes between two groups of single cells, with regard to different expression status (DEs), differential expression abundance (DEa), and general differential expression (DEg). DEsingle employs Zero-Inflated Negative Binomial model to estimate the proportion of real and dropout zeros and to define and detect the 3 types of DE genes. Results showed that DEsingle outperforms existing methods for scRNA-seq DE analysis, and can reveal different types of DE genes that are enriched in different biological functions.

package bioconductor-desingle

(downloads) docker_bioconductor-desingle


1.8.0-0, 1.6.0-0, 1.4.0-1, 1.4.0-0, 1.2.1-0

Required By


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

conda install bioconductor-desingle

and update with:

conda update bioconductor-desingle

or use the docker container:

docker pull<tag>

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