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: 1.6.6 Depends: parallel, gtools, R (≥ 4.0.0) Imports: GiRaF, MASS, Matrix, mclust, methods, purrr, utils, Seurat, cowplot, patchwork, scater, pbapply, ggthemes, dplyr, ggplot2, stats, DR.SC, scales, ggpubr, graphics, colorspace, Rcpp (≥ 1.0.5) LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Published: 2025-03-27 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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