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CellCommunicationEngine

Intercellular communication analysis engine for ligand-receptor interaction scoring, signaling network inference, and paracrine pathway identification.

Features

  • Ligand-receptor pair interaction strength quantification
  • Cell-type communication network construction and visualization
  • NicheNet-style target gene prediction from LR interactions
  • Paracrine and autocrine signaling pathway classification
  • Differential communication analysis across conditions

Results

8 cell types × 200 LR pairs; Total interaction=126.01; Top LR strength=436.30

Usage

pip install numpy scipy matplotlib
python cell_communication_engine.py

Tags

cell-communication, cellchat, nichenet, intercellular-signaling, paracrine

About

Max-Biomni: CellCommunicationEngine — AI×Bio computational engine

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