Spatially-Aware Cell Clustering Algorithm with Cluster Significant Assessment
Overview
A spatially-aware cell clustering algorithm is provided with cluster significance assessment. It comprises four key modules: spatially-aware cell-gene co-embedding, cell clustering, signature gene identification, and cluster significant assessment. More details can be referred to Peng Xie, et al. (2025) doi:10.1016/j.cell.2025.05.035.
Install
Health
ERRORwhether package can be installedr-oldrel-macos-arm64
Installation failed. See ‘/Volumes/Builds/packages/big-sur-arm64/results/4.5/coFAST.Rcheck/00install.out’ for details.
- ERROR12 OK, 1 ERRORNow
- ERROR11 OK, 3 ERROR2026-03-10
Documentation
- Help pages
- 15
- Examples that run
- 100%15 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 59
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Commits over time
Commit identities over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/feiyoung/cofast on 2026-10-11.
GitHub Pages site last deployed 2026-06-05
Dependencies
Installing coFAST adds 146 packages (86 with compiled code, 138 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-11-17
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 2.0 MB / 3 files
- Download size
- 2.0 MB
Cite
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Cite the R Observatory
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