coFAST: Spatially-Aware Cell Clustering Algorithm with Cluster Significant Assessment

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>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.10), furrr, future, ggplot2, irlba, DR.SC, PRECAST, ProFAST, Matrix, ade4, progress, pbapply, dplyr, Seurat, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, scater, ggrepel, RANN, grDevices
Published: 2025-11-17
DOI: 10.32614/CRAN.package.coFAST (may not be active yet)
Author: Wei Liu [aut, cre], Xiao Zhang [aut], Yi Yang [aut], Peng Xie [aut], Chengqi Lin [aut], Jin Liu [aut]
Maintainer: Wei Liu <liuweideng at gmail.com>
BugReports: https://github.com/feiyoung/coFAST/issues
License: GPL-3
URL: https://github.com/feiyoung/coFAST
NeedsCompilation: yes
Materials: README
CRAN checks: coFAST results

Documentation:

Reference manual: coFAST.html , coFAST.pdf
Vignettes: coFAST: NSCLC CosMx data coembedding (source, R code)

Downloads:

Package source: coFAST_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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