ChristophH/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:10.1186/s13059-019-1874-1>, and Choudhary and Satija (2022) <doi:10.1186/s13059-021-02584-9> for more details.
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Package details |
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| Maintainer | |
| License | GPL-3 | file LICENSE |
| Version | 0.4.1 |
| URL | https://github.com/satijalab/sctransform |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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