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Data Science Seminar: From Single Mutations to Population-Scale Network Rewiring: AI/Machine Learning Frameworks for Predicting Molecular Perturbations

Are you interested in how genetic variants reshape biology and disease? Join us to explore two powerful computational tools: eSIG-Net and SCORPION. Learn how these approaches uncover network-level changes tied to disease progression and advance precision medicine.

This Data Science Seminar features Dr. S. Stephen Yi, an associate professor and director of bioinformatics at Baylor College of Medicine, where he leads a research program at the intersection of computational genomics, network science, and precision medicine.

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December 9

Other Academic Voices- Patient and Clinical Team Perspectives on Social Needs Screening and the Role of Community Partners