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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 "FastCCCR" in publications use:'
type: software
license: MIT
title: 'FastCCCR: Fast Cell-Cell Communication Analysis with Statistical Framework'
version: 1.0.0
doi: 10.32614/CRAN.package.FastCCCR
abstract: 'A high-performance R package for cell-cell communication (CCC) analysis
  in single-cell RNA sequencing data. FastCCCR implements an innovative statistical
  framework based on exact null distribution computation, Cauchy combination of multiple
  statistical methods, and reference-based inference. The package is optimized with
  Rcpp for computational efficiency and supports both Seurat V4 and V5 objects. Key
  features include: (1) Multiple scoring methods with Cauchy combination, (2) Reference
  panel construction and query inference, (3) Support for multiple ligand-receptor
  databases (CellPhoneDB, CellChat, NicheNet), (4) High-performance vectorized and
  parallel computation.'
authors:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-5520-5765
repository: https://zaoqu-liu.r-universe.dev
repository-code: https://github.com/Zaoqu-Liu/FastCCCR
commit: e2454107b95439b3adb3114008e8fab419284898
url: https://zaoqu-liu.github.io/FastCCCR/
date-released: '2026-01-26'
contact:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-5520-5765