Learn how to apply network science to human disease. This module introduces network medicine concepts, construction of interactomes and multi layer networks, and algorithmic strategies for detecting disease modules and subnetworks associated with phenotypes. You will implement random walk and diffusion based methods, centrality and community detection, and link network modules to biomarkers, comorbidities and drug repurposing hypotheses using Python, R and Cytoscape based workflows.