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ProFAST: Probabilistic Factor Analysis for Spatially-Aware DimensionReduction

Probabilistic factor analysis for spatially-aware dimension reduction across multi-section spatial transcriptomics data with millions of spatial locations. More details can be referred to Wei Liu, et al. (2023) <doi:10.1101/2023.07.11.548486>.

Version:1.7
Depends:R (≥ 4.0.0),gtools
Imports:Rcpp (≥ 1.0.10),furrr,future,ggplot2,DR.SC,Matrix,mclust,PRECAST,pbapply,irlba,Seurat, parallel,harmony, methods, stats, utils
LinkingTo:Rcpp,RcppArmadillo
Suggests:knitr,rmarkdown,performance,nnet,biomaRt,scater,ggrepel,RANN, grDevices
Published:2025-12-14
DOI:10.32614/CRAN.package.ProFAST
Author:Wei Liu [aut, cre], Xiao Zhang [aut], Jin Liu [aut]
Maintainer:Wei Liu <liuweideng at gmail.com>
BugReports:https://github.com/feiyoung/ProFAST/issues
License:GPL-3
URL:https://github.com/feiyoung/ProFAST
NeedsCompilation:yes
Materials:README
CRAN checks:ProFAST results

Documentation:

Reference manual:ProFAST.html ,ProFAST.pdf
Vignettes:CoFAST: NSCLC CosMx data coembedding (source,R code)
FAST: single DLPFC section (source,R code)
FAST: two DLPFC sections (source,R code)
FAST: simulation (source,R code)
CoFAST: PBMC scRNA-seq data coembedding (source,R code)

Downloads:

Package source: ProFAST_1.7.tar.gz
Windows binaries: r-devel:ProFAST_1.7.zip, r-release:ProFAST_1.6.zip, r-oldrel:ProFAST_1.7.zip
macOS binaries: r-release (arm64):ProFAST_1.6.tgz, r-oldrel (arm64):ProFAST_1.6.tgz, r-release (x86_64):ProFAST_1.7.tgz, r-oldrel (x86_64):ProFAST_1.7.tgz
Old sources: ProFAST archive

Reverse dependencies:

Reverse imports:CAESAR.Suite,coFAST

Linking:

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


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