Joint Dimension Reduction and Spatial Clustering R package DR.SC version 3.7 Joint dimension reduction and spatial clustering is conducted for Single-cell RNA sequencing and spatial transcriptomics data, and more details can be referred to Wei Liu, Xu Liao, Yi Yang, Huazhen Lin, Joe Yeong, Xiang Zhou, Xingjie Shi and Jin Liu. (2022) <doi:10.1093/nar/gkac219>. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well. Software Depends: parallel, spatstat.geom, R (>= 4.0.0) Imports: CompQuadForm, irlba, cowplot, ggplot2, MASS, Matrix, mclust, methods, purrr, S4Vectors, RColorBrewer, Rcpp (>= 1.0.5), Seurat, stats 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 2025-12-14 application/tgz https://CRAN.R-project.org/package=DR.SC doi:10.32614/CRAN.package.DR.SC