- recipe bioconductor-desingle
DEsingle for detecting three types of differential expression in single-cell RNA-seq data
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/DEsingle.html
- License:
GPL-2
- Recipe:
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¶
-
- Versions:
1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.0-1
,1.4.0-0
,1.2.1-0
- Depends:
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-desingle
and update with:
conda update bioconductor-desingle
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-desingle:<tag>
(see bioconductor-desingle/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-desingle/README.html)