- recipe bioconductor-cogaps
Coordinated Gene Activity in Pattern Sets
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/CoGAPS.html
- License
BSD_3_clause + file LICENSE
- Recipe
Coordinated Gene Activity in Pattern Sets (CoGAPS) implements a Bayesian MCMC matrix factorization algorithm, GAPS, and links it to gene set statistic methods to infer biological process activity. It can be used to perform sparse matrix factorization on any data, and when this data represents biomolecules, to do gene set analysis.
- package bioconductor-cogaps¶
-
- Versions
3.14.0-1
,3.14.0-0
,3.12.0-0
,3.10.0-1
,3.10.0-0
,3.8.0-0
,3.6.0-0
,3.4.1-0
,3.2.1-0
- Depends
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-rhdf5
>=2.38.0,<2.39.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-cogaps
and update with:
conda update bioconductor-cogaps
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-cogaps:<tag>
(see bioconductor-cogaps/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-cogaps/README.html)