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PopComm: Population-Level Cell-Cell Communication Analysis Tools

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.

Version:	1.0.0
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)
Published:	2025-11-01
DOI:	10.32614/CRAN.package.PopComm
Author:	Zheng Gong [aut, cre], Mengwei Li [aut, ctb]
Maintainer:	Zheng Gong <gongzheng131 at hotmail.com>
BugReports:	https://github.com/JusticeGO/PopComm/issues
License:	MIT + fileLICENSE
URL:	https://github.com/JusticeGO/PopComm
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	PopComm results

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