Population-Level Cell-Cell Communication Analysis Tools R package PopComm version 1.0.0 Facilitates population-level analysis of ligand-receptor (LR) interactions using large-scale single-cell transcriptomic data. Identifies significant LR pairs and quantifies their interactions through correlation-based filtering and projection score computations. Designed for large-sample single-cell studies, the package employs statistical modeling, including linear regression, to investigate LR relationships between cell types. It provides a systematic framework for understanding cell-cell communication, uncovering regulatory interactions and signaling mechanisms. Offers tools for LR pair-level, sample-level, and differential interaction analyses, with comprehensive visualization support to aid biological interpretation. The methodology is described in a manuscript currently under review and will be referenced here once published or publicly available. Software Depends: R (>= 4.1.0) Imports: Seurat (>= 4.1.0), broom (>= 1.0.0), dplyr (>= 1.0.0), purrr (>= 0.3.0), rlang, stringr (>= 1.4.0), tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.1.0), Matrix (>= 1.2-0), ggplot2 (>= 3.3.0), ggpubr (>= 0.6.0), pheatmap (>= 1.0.12), RColorBrewer, reshape2 (>= 1.4.1), scales (>= 1.1.1), igraph (>= 2.0.0), parallel, pbmcapply (>= 1.5.0), grDevices, cowplot (>= 1.1.1) Zheng Gong <gongzheng131@hotmail.com> Comprehensive R Archive Network (CRAN) Zheng Gong [aut, cre] (ORCID: <https://orcid.org/0000-0001-7285-2630>), Mengwei Li [aut, ctb] (ORCID: <https://orcid.org/0000-0001-6163-2827>) MIT + file LICENSE (https://CRAN.R-project.org/package=PopComm/LICENSE) 2025-11-01 application/tgz https://CRAN.R-project.org/package=PopComm doi:10.32614/CRAN.package.PopComm