Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session T4: Machine Learning and Model Inference for Biological Physicists
8:30 AM–12:30 PM,
Sunday, March 5, 2023
Room: Room 129
Chair: Ajay Gopinathan, University of California Merced
Abstract: T4.00001 : Machine Learning and Model Inference for Biological Physicists
8:30 AM–9:30 AM
Presenter:
Chase P Broedersz
(Vrije Universiteit Amsterdam)
Author:
Chase P Broedersz
(Vrije Universiteit Amsterdam)
Modern statistical inference and machine learning (ML) methods can extract generalizable rules from such large datasets and learn to approximate existing underlying functional relationships. For instance, in the case of protein structure determination, pairwise maximum entropy models brought substantial advances, and deep learning models based on natural language processing methods contributed to recent breakthroughs.
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