sctransform
R package for modeling single cell UMI expression data using regularized negative binomial regression
Science Score: 49.0%
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Repository
R package for modeling single cell UMI expression data using regularized negative binomial regression
Basic Info
Statistics
- Stars: 230
- Watchers: 16
- Forks: 36
- Open Issues: 47
- Releases: 11
Metadata Files
README.md
sctransform
R package for normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression
The sctransform package was developed by Christoph Hafemeister in Rahul Satija's lab at the New York Genome Center and described in Hafemeister and Satija, Genome Biology 2019. Recent updates are described in (Choudhary and Satija, Genome Biology, 2022). Core functionality of this package has been integrated into Seurat, an R package designed for QC, analysis, and exploration of single cell RNA-seq data.
Quick start
Installation:
```r
Install sctransform from CRAN
install.packages("sctransform")
Or the development version from GitHub:
remotes::install_github("satijalab/sctransform", ref="develop") ```
Running sctransform:
```r
Runnning sctransform on a UMI matrix
normalizeddata <- sctransform::vst(umicount_matrix)$y
v1 regularization
normalizeddata <- sctransform::vst(umicount_matrix, vst.flavor="v1")$y
Runnning sctransform on a Seurat object
seuratobject <- Seurat::SCTransform(seuratobject)
v1 regularization
seuratobject <- Seurat::SCTransform(seuratobject, vst.flavor="v1") ```
Help
For usage examples see vignettes in inst/doc or use the built-in help after installation
?sctransform::vst
Available vignettes:
- Variance stabilizing transformation
- Using sctransform in Seurat
- Examples of how to perform normalization, feature selection, integration, and differential expression with sctransform v2 regularization
Please use the issue tracker if you encounter a problem
References
Hafemeister, C. & Satija, R. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biology 20, 296 (2019). https://doi.org/10.1186/s13059-019-1874-1. An early version of this work was used in the paper Developmental diversification of cortical inhibitory interneurons, Nature 555, 2018.
Choudhary, S. & Satija, R. Comparison and evaluation of statistical error models for scRNA-seq. Genome Biology 23.1 (2022). https://doi.org/10.1186/s13059-021-02584-9
Owner
- Name: satijalab
- Login: satijalab
- Kind: organization
- Website: https://satijalab.org
- Twitter: satijalab
- Repositories: 12
- Profile: https://github.com/satijalab
GitHub Events
Total
- Create event: 1
- Release event: 1
- Issues event: 10
- Watch event: 19
- Issue comment event: 15
- Push event: 6
- Pull request event: 2
- Fork event: 5
Last Year
- Create event: 1
- Release event: 1
- Issues event: 10
- Watch event: 19
- Issue comment event: 15
- Push event: 6
- Pull request event: 2
- Fork event: 5
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Christoph Hafemeister | c****r@n****u | 134 |
| Christoph Hafemeister | c****r@n****g | 96 |
| Saket Choudhary | s****c@g****m | 48 |
| rsatija | s****l@g****m | 3 |
| moi-taiga | 8****a | 1 |
| Diego H | d****o@g****m | 1 |
| AustinHartman | h****9@g****m | 1 |
| Andrew Butler | a****r@n****g | 1 |
| Aiden Grossman | a****4@y****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 131
- Total pull requests: 8
- Average time to close issues: about 1 month
- Average time to close pull requests: 27 days
- Total issue authors: 118
- Total pull request authors: 6
- Average comments per issue: 2.58
- Average comments per pull request: 0.88
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 8
- Pull requests: 1
- Average time to close issues: 10 days
- Average time to close pull requests: about 9 hours
- Issue authors: 8
- Pull request authors: 1
- Average comments per issue: 2.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
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- lucygarner (3)
- ElyasMo (2)
- z5ouyang (2)
- PilanEli (2)
- duocang (2)
- yesitsjess (2)
- Evenlyeven (2)
- HelloWorldLTY (2)
- kmwinkley (2)
- reneemoerkens (2)
- winner0809 (2)
- frederikziebell (2)
- lima1 (1)
- HillJamie (1)
Pull Request Authors
- saketkc (4)
- dieghernan (2)
- boomanaiden154 (1)
- kmwinkley (1)
- rsatija (1)
- moi-taiga (1)
Top Labels
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Packages
- Total packages: 3
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Total downloads:
- cran 36,949 last-month
- Total docker downloads: 159,359
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Total dependent packages: 7
(may contain duplicates) -
Total dependent repositories: 36
(may contain duplicates) - Total versions: 31
- Total maintainers: 1
proxy.golang.org: github.com/satijalab/sctransform
- Documentation: https://pkg.go.dev/github.com/satijalab/sctransform#section-documentation
- License: gpl-3.0
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Latest release: v0.4.2
published over 2 years ago
Rankings
cran.r-project.org: sctransform
Variance Stabilizing Transformations for Single Cell UMI Data
- Homepage: https://github.com/satijalab/sctransform
- Documentation: http://cran.r-project.org/web/packages/sctransform/sctransform.pdf
- License: GPL-3 | file LICENSE
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Latest release: 0.4.2
published about 1 year ago
Rankings
Maintainers (1)
conda-forge.org: r-sctransform
- Homepage: https://github.com/satijalab/sctransform
- License: GPL-3.0-only
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Latest release: 0.3.5
published over 3 years ago
Rankings
Dependencies
- R >= 3.5.0 depends
- glmGamPoi * enhances
- MASS * imports
- Matrix >= 1.5.0 imports
- dplyr * imports
- future * imports
- future.apply * imports
- ggplot2 * imports
- gridExtra * imports
- magrittr * imports
- matrixStats * imports
- methods * imports
- reshape2 * imports
- rlang * imports
- irlba * suggests
- knitr * suggests
- testthat * suggests