recipe bioconductor-glmgampoi

Fit a Gamma-Poisson Generalized Linear Model

Homepage

https://bioconductor.org/packages/3.13/bioc/html/glmGamPoi.html

License

GPL-3

Recipe

/bioconductor-glmgampoi/meta.yaml

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

1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends

• bioconductor-beachmat >=2.8.0,<2.9.0

• bioconductor-biocgenerics >=0.38.0,<0.39.0

• bioconductor-delayedarray >=0.18.0,<0.19.0

• bioconductor-delayedmatrixstats >=1.14.0,<1.15.0

• bioconductor-hdf5array >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.22.0,<1.23.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=9.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=9.3.0

• r-base >=4.1,<4.2.0a0

• r-matrixstats

• r-rcpp

• r-rcpparmadillo

Required By

Installation

With an activated Bioconda channel (see 2. 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>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-glmgampoi/README.html)