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transformGamPoi

Variance Stabilizing Transformation for Gamma-Poisson Models

Bioconductor version: 3.23 · Package version: 1.18.0

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).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("transformGamPoi")

Details

MaintainerConstantin Ahlmann-Eltze <artjom31415@googlemail.com>
AuthorConstantin Ahlmann-Eltze [aut, cre] (ORCID: <https://orcid.org/0000-0002-3762-068X>)
LicenseGPL-3
URLhttps://github.com/const-ae/transformGamPoi
Bug Reportshttps://github.com/const-ae/transformGamPoi/issues
Downloads rank261
Source branchRELEASE_3_23
biocViewsNormalization, Preprocessing, Regression, SingleCell, Software

Documentation

Download

Dependencies

Imports: glmGamPoi, DelayedArray, Matrix, MatrixGenerics, SummarizedExperiment, HDF5Array, methods, utils, Rcpp

LinkingTo: Rcpp

Suggests: testthat, TENxPBMCData, scran, knitr, rmarkdown, BiocStyle

Reverse dependencies

Suggests Me (1): scTypeEval