# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
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: 1.0.6
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 freezes
  stable matching, 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://cran.r-universe.dev
repository-code: https://github.com/taostat1/scNPM_R_package
commit: 44d9b4a0a677da927c4a761432b121750b7c106c
url: https://github.com/taostat1/scNPM_R_package
date-released: '2026-10-02'
contact:
- family-names: Liu
  given-names: Tao
  email: 25210690190@m.fudan.edu.cn