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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.3 |
rolling linux/jammy R-4.5 | sctransform_0.4.3.tar.gz |
553.1 KiB |
0.4.3 |
rolling linux/noble R-4.5 | sctransform_0.4.3.tar.gz |
555.7 KiB |
0.4.3 |
rolling source/ R- | sctransform_0.4.3.tar.gz |
183.2 KiB |
0.4.3 |
latest linux/jammy R-4.5 | sctransform_0.4.3.tar.gz |
553.1 KiB |
0.4.3 |
latest linux/noble R-4.5 | sctransform_0.4.3.tar.gz |
555.7 KiB |
0.4.3 |
latest source/ R- | sctransform_0.4.3.tar.gz |
183.2 KiB |
0.4.3 |
2026-04-26 source/ R- | sctransform_0.4.3.tar.gz |
183.2 KiB |
0.4.3 |
2026-04-23 source/ R- | sctransform_0.4.3.tar.gz |
183.2 KiB |
0.4.3 |
2026-04-09 windows/windows R-4.5 | sctransform_0.4.3.zip |
867.0 KiB |
0.4.1 |
2025-04-20 source/ R- | sctransform_0.4.1.tar.gz |
192.9 KiB |