Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Overview
Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) doi:10.1038/s41467-024-53954-3 which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.
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Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
The repository also keeps web-only articles.
- Help pages
- 31 (16 internal)includes a package overview page
- Examples that run
- no examples
- Exported functions with examples
- 0%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 19%
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Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 7
- Median days to close, 50 most recently updated closed PRs
- 1
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6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/scmethods/scregclust on 2026-10-25.
GitHub Pages site last deployed 2026-05-03 · The repository has a site deploy workflow
pkgdown site last built 2026-05-03
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2024-11-21
- Total releases
- 6 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 286 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("scregclust")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1038/s41467-024-53954-3.
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For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.