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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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| Author | 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>) |
| Maintainer | Saket Choudhary <saketc@iitb.ac.in> |
| License | GPL-3 | file LICENSE |
| Version | 0.4.2 |
| URL | https://github.com/satijalab/sctransform |
| Package repository | View on CRAN |
| Installation |
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