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).
Package details |
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Bioconductor views | Normalization Preprocessing Regression SingleCell |
Maintainer | |
License | GPL-3 |
Version | 1.5.1 |
URL | https://github.com/const-ae/transformGamPoi |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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