Embedding and Clustering with Alignment for Spatial Omics Datasets R package PRECAST version 1.8 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>. Software 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 Wei Liu <liuweideng@gmail.com> Comprehensive R Archive Network (CRAN) Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut] GPL-3 2025-12-15 application/tgz https://CRAN.R-project.org/package=PRECAST doi:10.32614/CRAN.package.PRECAST