Package: scNPM 1.0.6

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.

Authors:Tao Liu [aut, cre]