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coFAST: Spatially-Aware Cell Clustering Algorithm with ClusterSignificant 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:0.2.0
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:2025-12-14
DOI:10.32614/CRAN.package.coFAST
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_0.2.0.tar.gz
Windows binaries: r-devel:coFAST_0.2.0.zip, r-release:coFAST_0.1.0.zip, r-oldrel:coFAST_0.2.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64):coFAST_0.2.0.tgz, r-oldrel (x86_64):coFAST_0.2.0.tgz
Old sources: coFAST archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=coFASTto link to this page.


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