Integrative Chromatin Accessibility and RNA Framework for Gene Regulatory Networks
Overview
Provides a reproducible framework for constructing and comparing gene regulatory networks by integrating chromatin accessibility footprint scores with matched RNA expression data. It implements context-specific enhancer-gene linking, transcription factor focused network analysis, differential network analysis, and regulatory topic modeling workflows for systematic exploration of gene regulation across conditions. Methodological background is described in Bentsen and others (2020) doi:10.1038/s41467-020-18035-1, Blei, Ng and Jordan (2003) https://www.jmlr.org/papers/v3/blei03a.html, and Chen, Li, Zhu and Chen (2015) doi:10.48550/arXiv.1510.08628.
- Updated DESCRIPTION references to include author-year text for the next CRAN update.
- Fixed a CRAN macOS test failure by comparing config-resolved relative paths against the canonical project directory path.
From NEWS.md in the release
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-06-19
Documentation
- Help pages
- 40 (1 internal)
- Examples that run
- 33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 8%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- 4
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Dependencies
Installing craftgrn adds 63 packages (34 with compiled code, 45 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
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- 0.1.7Latest
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Package metadata
- First published
- 2026-06-18
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 764 KB
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