scNPM: Single-Cell Network Propensity Matching

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.

Version:	1.0.6
Depends:	R (≥ 4.0.0)
Imports:	Rcpp (≥ 1.0.10), Matrix, igraph (≥ 1.3.0), ggplot2 (≥ 3.3.0), ggrepel (≥ 0.9.0), scales (≥ 1.2.0), stats, utils, tools
LinkingTo:	Rcpp, RcppArmadillo (≥ 0.12.6.4.0), RcppParallel (≥ 5.1.7)
Suggests:	testthat (≥ 3.0.0)
Published:	2026-10-14
DOI:	10.32614/CRAN.package.scNPM (may not be active yet)
Author:	Tao Liu [aut, cre]
Maintainer:	Tao Liu <25210690190 at m.fudan.edu.cn>
BugReports:	https://github.com/taostat1/scNPM_R_package/issues
License:	GPL (≥ 3)
URL:	https://github.com/taostat1/scNPM_R_package
NeedsCompilation:	yes
SystemRequirements:	C++17, OpenMP
Materials:	README, NEWS
CRAN checks:	scNPM results

Documentation:

Reference manual:

scNPM.html , scNPM.pdf

Downloads:

Package source:	scNPM_1.0.6.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): scNPM_1.0.6.tgz, r-oldrel (arm64): scNPM_1.0.6.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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