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PopComm  

Population-Level Cell-Cell Communication Analysis Tools
View on CRAN: Click here


Download and install PopComm package within the R console
Install from CRAN:
install.packages("PopComm")

Install from Github:
library("remotes")
install_github("cran/PopComm")

Install by package version:
library("remotes")
install_version("PopComm", "1.0.0")



Attach the package and use:
library("PopComm")
Maintained by
Zheng Gong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-25
Latest Update: 2025-04-25
Description:
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.
How to cite:
Zheng Gong (2025). PopComm: Population-Level Cell-Cell Communication Analysis Tools. R package version 1.0.0, https://cran.r-project.org/web/packages/PopComm. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 0.1.0.1 (2025-04-25 17:20)
Other packages that cited PopComm R package
View PopComm citation profile
Other R packages that PopComm depends, imports, suggests or enhances
Complete documentation for PopComm
Functions, R codes and Examples using the PopComm R package
Full PopComm package functions and examples
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