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Fit a Gamma-Poisson Generalized Linear Model

Bioconductor version: Release (3.19)

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.

Author: Constantin Ahlmann-Eltze [aut, cre] , Nathan Lubock [ctb] , Michael Love [ctb]

Maintainer: Constantin Ahlmann-Eltze <artjom31415 at>

Citation (from within R, enter citation("glmGamPoi")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

glmGamPoi Quickstart HTML R Script
Pseudobulk and differential expression HTML R Script
Reference Manual PDF


biocViews RNASeq, Regression, SingleCell, Software
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Imports Rcpp, DelayedMatrixStats, matrixStats, MatrixGenerics, DelayedArray, HDF5Array, SummarizedExperiment, SingleCellExperiment, BiocGenerics, methods, stats, utils, splines, rlang, vctrs
System Requirements C++11
Bug Reports
See More
Suggests testthat (>= 2.1.0), zoo, DESeq2, edgeR, limma, beachmat, MASS, statmod, ggplot2, bench, BiocParallel, knitr, rmarkdown, BiocStyle, TENxPBMCData, muscData, scran, Matrix, dplyr
Linking To Rcpp, RcppArmadillo, beachmat
Depends On Me
Imports Me BASiCStan, lemur, transformGamPoi, SCdeconR
Suggests Me DESeq2, DEXSeq
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package glmGamPoi_1.16.0.tar.gz
Windows Binary
macOS Binary (x86_64) glmGamPoi_1.16.0.tgz
macOS Binary (arm64) glmGamPoi_1.16.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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