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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PopComm" in publications use:'
type: software
license: MIT
title: 'PopComm: Population-Level Cell-Cell Communication Analysis Tools'
version: 1.0.1
doi: 10.32614/CRAN.package.PopComm
abstract: 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.
authors:
- family-names: Gong
  given-names: Zheng
  email: gongzheng131@hotmail.com
  orcid: https://orcid.org/0000-0001-7285-2630
- family-names: Li
  given-names: Mengwei
  email: limengwei833@gmail.com
  orcid: https://orcid.org/0000-0001-6163-2827
repository: https://justicego.r-universe.dev
repository-code: https://github.com/JusticeGO/PopComm
commit: 6e4d7ba83582b8d57d70e4ae2b5ea1a567768e38
url: https://github.com/JusticeGO/PopComm
date-released: '2026-02-04'
contact:
- family-names: Gong
  given-names: Zheng
  email: gongzheng131@hotmail.com
  orcid: https://orcid.org/0000-0001-7285-2630