- recipe bioconductor-glmgampoi
Fit a Gamma-Poisson Generalized Linear Model
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/glmGamPoi.html
- License:
GPL-3
- Recipe:
Fit linear models to overdispersed count data. The package can estimate the overdispersion and fit repeated models for matrix input. It is designed to handle large input datasets as they typically occur in single cell RNA-seq experiments.
- package bioconductor-glmgampoi¶
-
- Versions:
1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-beachmat
>=2.10.0,<2.11.0
bioconductor-biocgenerics
>=0.40.0,<0.41.0
bioconductor-delayedarray
>=0.20.0,<0.21.0
bioconductor-delayedmatrixstats
>=1.16.0,<1.17.0
bioconductor-hdf5array
>=1.22.0,<1.23.0
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 set-up-channels), install with:
conda install bioconductor-glmgampoi
and update with:
conda update bioconductor-glmgampoi
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-glmgampoi:<tag>
(see bioconductor-glmgampoi/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-glmgampoi/README.html)