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 fixes correspondence after adaptation, disables adaptation feedback, and jointly models matched network edges with a four-state spike-and-slab prior for posterior group and directional differential edge selection. Functions assess balance, record criterion diagnostics, and visualize within-condition and differential networks.

install.packages("scNPM")

Try the scNPM package in your browser