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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "scNPM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'scNPM: Single-Cell Network Propensity Matching'
version: 1.0.8
doi: 10.32614/CRAN.package.scNPM
abstract: Estimates and compares heterogeneous gene conditional-dependence networks
  from single-cell expression data. A latent Gaussian mixture and probit observation
  mechanism represent cellular heterogeneity and zero observations. Protein interaction
  information supplies edge-specific prior weights, while network propensity matching
  links cell clusters across conditions and guides adaptation. Staged inference fixes
  correspondence after adaptation, disables feedback, and retains baseline-model samples
  for posterior group and directional differential edge selection. Functions assess
  balance, record criterion diagnostics, and visualize within-condition and differential
  networks.
authors:
- family-names: Liu
  given-names: Tao
  email: 25210690190@m.fudan.edu.cn
repository: https://taostat1.r-universe.dev
repository-code: https://github.com/taostat1/scNPM_R_package
commit: 123962033d8d7d0a67b31f18424e732504f10318
url: https://github.com/taostat1/scNPM_R_package
date-released: '2026-10-14'
contact:
- family-names: Liu
  given-names: Tao
  email: 25210690190@m.fudan.edu.cn