Variance Stabilizing Transformations for Single Cell UMI Data R package sctransform version 0.4.3 A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija (2019) <doi:10.1186/s13059-019-1874-1>, and Choudhary and Satija (2022) <doi:10.1186/s13059-021-02584-9> for more details. Software Depends: R (>= 3.6.0) Imports: dplyr, magrittr, MASS, Matrix (>= 1.5-0), methods, future.apply, future, parallelly, ggplot2, reshape2, rlang, gridExtra, matrixStats LinkingTo: RcppArmadillo, Rcpp (>= 0.11.0) Suggests: irlba, testthat, knitr Enhances: glmGamPoi Saket Choudhary <saketc@iitb.ac.in> Comprehensive R Archive Network (CRAN) Christoph Hafemeister [aut] (ORCID: <https://orcid.org/0000-0001-6365-8254>), Saket Choudhary [aut, cre] (ORCID: <https://orcid.org/0000-0001-5202-7633>), Rahul Satija [ctb] (ORCID: <https://orcid.org/0000-0001-9448-8833>) GPL-3 file LICENSE (https://CRAN.R-project.org/package=sctransform/LICENSE) 2026-01-10 application/tgz https://CRAN.R-project.org/package=sctransform doi:10.32614/CRAN.package.sctransform