An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.
| Version: | 1.8 |
| Depends: | parallel,gtools, R (≥ 4.0.0) |
| Imports: | MASS,Matrix,mclust, methods,purrr, utils,Seurat,irlba,cowplot,patchwork,scater,pbapply,ggthemes,dplyr,ggplot2, stats,harmony,DR.SC,scales,ggpubr, graphics,colorspace,Rcpp (≥ 1.0.5) |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-12-15 |
| DOI: | 10.32614/CRAN.package.PRECAST |
| Author: | Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut] |
| Maintainer: | Wei Liu <liuweideng at gmail.com> |
| BugReports: | https://github.com/feiyoung/PRECAST/issues |
| License: | GPL-3 |
| URL: | https://github.com/feiyoung/PRECAST |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | PRECAST results |