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.
https://anaconda.org/r/r-sctransform/badges/version.svg
https://anaconda.org/r/r-sctransform/badges/latest_release_date.svg
https://anaconda.org/r/r-sctransform/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-sctransform/badges/platforms.svg
https://anaconda.org/r/r-sctransform/badges/license.svg
https://anaconda.org/r/r-sctransform/badges/downloads.svg