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.
- Version0.4.1
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- sctransform citation info
- Last release10/19/2023
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Team
Saket Choudhary
Rahul Satija
Show author detailsRolesContributorChristoph Hafemeister
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- Imports11 packages
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