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This is the development version of transformGamPoi; for the stable release version, see transformGamPoi.

Variance Stabilizing Transformation for Gamma-Poisson Models

Bioconductor version: Development (3.19)

Variance-stabilizing transformations help with the analysis of heteroskedastic data (i.e., data where the variance is not constant, like count data). This package provide two types of variance stabilizing transformations: (1) methods based on the delta method (e.g., 'acosh', 'log(x+1)'), (2) model residual based (Pearson and randomized quantile residuals).

Author: Constantin Ahlmann-Eltze [aut, cre]

Maintainer: Constantin Ahlmann-Eltze <artjom31415 at>

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


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

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

# The following initializes usage of Bioc devel


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biocViews Normalization, Preprocessing, Regression, SingleCell, Software
Version 1.9.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-3
Imports glmGamPoi, DelayedArray, Matrix, MatrixGenerics, SummarizedExperiment, HDF5Array, methods, utils, Rcpp
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