Package: COMMOTR Type: Package Title: Screening Cell-Cell Communication in Spatial Transcriptomics via Collective Optimal Transport Version: 1.0.0 Date: 2026-01-25 Authors@R: c( person("Zaoqu", "Liu", email = "liuzaoqu@163.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0000-0000")), person("Zixian", "Cang", role = "ctb", comment = "Original Python COMMOT implementation")) Description: Infers cell-cell communication in spatial transcriptomics data using collective optimal transport. The method models ligand-receptor interactions as optimal transport problems with spatial distance constraints, providing communication direction inference, cluster-level analysis, and comprehensive visualization. This is an R implementation based on the COMMOT algorithm (Cang et al., Nature Methods, 2023). License: MIT + file LICENSE URL: https://zaoqu-liu.github.io/COMMOTR/, https://github.com/Zaoqu-Liu/COMMOTR BugReports: https://github.com/Zaoqu-Liu/COMMOTR/issues Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 biocViews: Depends: R (>= 4.0.0) Imports: Rcpp (>= 1.0.0), Matrix, methods, stats, Seurat (>= 4.0.0), SeuratObject, future, future.apply, ggplot2, igraph, dplyr, tidyr, scales, grDevices, rlang, RColorBrewer LinkingTo: Rcpp, RcppArmadillo Suggests: circlize, testthat (>= 3.0.0), knitr, rmarkdown, ggraph, tidygraph, viridis, patchwork VignetteBuilder: knitr Config/testthat/edition: 3 NeedsCompilation: yes SystemRequirements: C++11 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev Repository: https://zaoqu-liu.r-universe.dev Date/Publication: 2026-01-24 19:36:13 UTC RemoteUrl: https://github.com/Zaoqu-Liu/COMMOTR RemoteRef: main RemoteSha: d201e5449329a215401be3f9d9b64410bfe5e669 Packaged: 2026-10-11 15:41:36 UTC; root Author: Zaoqu Liu [aut, cre] (ORCID: ), Zixian Cang [ctb] (Original Python COMMOT implementation) Maintainer: Zaoqu Liu