ProFAST: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction

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

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