- recipe bioconductor-scdd
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
- Homepage:
- License:
GPL-2
- Recipe:
This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.
- package bioconductor-scdd¶
-
- Versions:
1.18.0-0
,1.16.0-0
,1.14.0-1
,1.14.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.6.0-0
- Depends:
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-ebseq
>=1.34.0,<1.35.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-scran
>=1.22.0,<1.23.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-scdd
and update with:
conda update bioconductor-scdd
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-scdd:<tag>
(see bioconductor-scdd/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-scdd/README.html)