This is the released version of transformGamPoi; for the devel version, see transformGamPoi.
Variance Stabilizing Transformation for Gamma-Poisson ModelsBioconductor version: Release (3.21)
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] ORCID: 0000-0002-3762-068X
Maintainer: Constantin Ahlmann-Eltze <artjom31415 at googlemail.com>
Citation (from within R, entercitation("transformGamPoi")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("transformGamPoi")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("transformGamPoi")
Details biocViews Normalization, Preprocessing, Regression, SingleCell, Software Version 1.14.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 years) License GPL-3 Depends Imports glmGamPoi, DelayedArray, Matrix, MatrixGenerics, SummarizedExperiment, HDF5Array, methods, utils, Rcpp System Requirements URL https://github.com/const-ae/transformGamPoi Bug Reports https://github.com/const-ae/transformGamPoi/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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