sctransform
0.4.3Variance Stabilizing Transformations for Single Cell UMI Data
Overview
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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- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2213 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1812 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 95%
- Return-value docs
- 100%
- References docs
- 0%
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People & History
13 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.4.3Latest
- 0.4.22025-04-30 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.4.12023-10-19 · diff ↗
- 0.4.02023-09-19 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.3.52022-09-21 · diff ↗
- 0.3.42022-08-21 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.3.32022-01-13 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.3.22020-12-16 · diff ↗
- 0.3.12020-10-08 · diff ↗
- 0.32020-09-20 · diff ↗
Package metadata
- First published
- 2018-11-18
- Total releases
- 13 / 8 yrs
- License
- GPL-3 | file LICENSE OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 114 KB / 2 files
- Download size
- 183 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet