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All molecules are interesting

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If you have a question about this talk, please contact James Fergusson .

Molecular information is complex, diverse, sparse, not readily expressed as a string of characters and very important. A molecule is a fundamental unit of information which can be used to transfer knowledge across different fields of learning. How can we understand and curate the data? How can we encode molecular information in a way that can be readily fed to machine learning methods, and how can we extract molecular answers? I will outline how molecular structures can be identified, stored and manipulated so that we can learn from this experimental information.

This talk is part of the Data Intensive Science Seminar Series series.

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