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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: 1.4
Depends: R (≥ 4.0.0), gtools
Imports: Rcpp (≥ 1.0.10), furrr, future, ggplot2, AnnotationDbi, DR.SC, Matrix, mclust, PRECAST, pbapply, biomaRt, irlba, org.Hs.eg.db, org.Mm.eg.db, Seurat, parallel, harmony, methods, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, performance, nnet, scater, ggrepel, RANN, grDevices
Published: 2024-03-18
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.pdf
Vignettes: CoFAST: NSCLC CosMx data coembedding
FAST: single DLPFC section
FAST: two DLPFC sections
FAST: simulation
CoFAST: PBMC scRNA-seq data coembedding

Downloads:

Package source: ProFAST_1.4.tar.gz
Windows binaries: r-devel: ProFAST_1.4.zip, r-release: ProFAST_1.4.zip, r-oldrel: ProFAST_1.4.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): ProFAST_1.4.tgz, r-release (x86_64): ProFAST_1.4.tgz, r-oldrel (x86_64): not available
Old sources: ProFAST archive

Reverse dependencies:

Reverse imports: CAESAR.Suite

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ProFAST to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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