ProFAST: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction (original) (raw)

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

BugReports:

https://github.com/feiyoung/ProFAST/issues

License:

GPL-3

URL:

https://github.com/feiyoung/ProFAST

NeedsCompilation:

yes

Materials:

README

CRAN checks:

ProFAST results