Package: coFAST
Type: Package
Title: Spatially-Aware Cell Clustering Algorithm with Cluster
        Significant Assessment
Version: 0.2.0
Date: 2025-12-14
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "liuweideng@gmail.com"),
      person(given = "Xiao",
             family = "Zhang",
             role = c("aut")),
      person(given = "Yi",
             family = "Yang",
             role = "aut"),
      person(given = "Peng",
             family = "Xie",
             role = c("aut")),
      person(given = "Chengqi",
             family = "Lin",
             role = "aut"),
      person(given = "Jin",
             family = "Liu",
             role = "aut"))
Author: Wei Liu [aut, cre],
  Xiao Zhang [aut],
  Yi Yang [aut],
  Peng Xie [aut],
  Chengqi Lin [aut],
  Jin Liu [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: 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>.
License: GPL-3
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
LazyData: true
URL: https://github.com/feiyoung/coFAST
BugReports: https://github.com/feiyoung/coFAST/issues
Suggests: knitr, rmarkdown, scater, ggrepel, RANN, grDevices
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-12-14 01:39:59 UTC; 10297
Repository: CRAN
Date/Publication: 2025-12-14 03:30:10 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-05-09 04:20:50 UTC; windows
Archs: x64
