sctransform: Variance Stabilizing Transformations for Single Cell UMI Data

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:10.1101/576827> for more details.

Version:	0.2.0
Depends:	R (≥ 3.0.2)
Imports:	MASS, Matrix, methods, future, future.apply, ggplot2, reshape2, gridExtra, Rcpp
LinkingTo:	Rcpp (≥ 0.11.0), RcppEigen
Suggests:	irlba, testthat
Published:	2019-04-12
Author:	Christoph Hafemeister [aut, cre]
Maintainer:	Christoph Hafemeister <chafemeister at nygenome.org>
BugReports:	https://github.com/ChristophH/sctransform/issues
License:	GPL-3 | file LICENSE
URL:	https://github.com/ChristophH/sctransform
NeedsCompilation:	yes
Materials:	README
CRAN checks:	sctransform results

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