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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.
Citation | sctransform citation info |
github.com/satijalab/sctransform | |
System requirements | C++17 |
Bug report | File report |
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