Cell–Cell Network Inference

Workflow overview for cell-cell-network-inference

Cell–Cell Network Inference introduces a probabilistic graph structure learning framework for modeling cell–cell relationships in heterogeneous single-cell RNA-seq datasets. Instead of kNN graphs that limit inference to nearest neighbors, this approach leverages broader transcriptomic structure to improve trajectory recovery.