Machine Learning in Physics and Quantitative Biology
FOCUS · G01
Presentations
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Massively Parallel Reporter Assays, Machine Learning, and the Biophysics of Gene Regulation
COFFEE_KLATCH · Invited
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Authors
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Justin Kinney
Cold Spring Harbor Laboratory
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Using Information Geometry to Find Simple Models of Complex Processes
COFFEE_KLATCH · Invited
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Authors
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Mark Transtrum
Brigham Young University
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Predicting Physical Properties of Proteins Using 3D Convolutional Neural Networks.
ORAL
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Authors
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Talant Ruzmetov
Department of Chemistry, Rutgers University, Camden, Center for Computational and Integrative Biology, Joint Health Sciences Center, Camden, NJ
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Siddharth Bhadra-Lobo
Center for Computational and Integrative Biology, Joint Health Sciences Center, Camden, NJ
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Devlina Chakravarty
Department of Chemistry, Rutgers University, Camden, Center for Computational and Integrative Biology, Joint Health Sciences Center, Camden, NJ
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Guillaume Lamoureux
Department of Chemistry, Rutgers University, Camden, Center for Computational and Integrative Biology, Joint Health Sciences Center, Camden, NJ
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Mathematical Models for Living Forms in Medical Physics Submodel 1: The Information Processing from Teeth to Nerves
ORAL
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Authors
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Christina Pospisil
USA
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