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
Documentation
Team
Saket Choudhary
MaintainerShow author detailsRahul Satija
Christoph Hafemeister
Insights
Last 30 days
This package has been downloaded 28,276 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1,109 times.
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Last 365 days
This package has been downloaded 322,311 times in the last 365 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The day with the most downloads was Feb 12, 2025 with 2,714 downloads.
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Dependencies
- Imports11 packages
- Suggests3 packages
- Linking To2 packages
- Reverse Imports1 package
- Reverse Suggests4 packages