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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