hicream
0.0.4HIC diffeREntial Analysis Method
Overview
Perform Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR r-oldrel-macos-x86_64
- ERROR2026-03-1010 OK · 0 NOTE · 0 WARNING · 4 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 20%
Downloads
Repository
Repository practices
Repository forge.inrae.fr/scales/hicream is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2025-07-25
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 2.3 KB / 1 file
- Download size
- 725 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
citation("hicream")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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