DBIO Short Course: Machine Learning for Biological Physics
ORAL
Abstract
Biological physics is at an exciting moment where the integration of machine learning (ML) and data science tools have enabled new physical insights, better understanding, and accelerated discovery that surpass or complement traditional approaches. This tutorial section provides pedagogical lectures on the tools of ML-related methods applied to several topics that closely follow this year’s DBIO scientific programs. The attendees will learn about the use of ML on several data types from biomolecular sciences, molecular modeling, high-throughput multi-omics, cell biophysics, to single-cell imaging before the March Meeting kicks off.
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