Systems Metabolic Engineering Meets Machine Learning: A New Era for Data‐Driven Metabolic Engineering
Author:
Affiliation:
1. McKetta Department of Chemical Engineering The University of Texas at Austin 200 E Dean Keeton St. Stop C0400 Austin TX 78712 USA
2. Institute for Cellular and Molecular Biology The University of Texas at Austin 100 E 24 St. Austin TX 78712 USA
Funder
Air Force Office of Scientific Research
Publisher
Wiley
Subject
Molecular Medicine,Applied Microbiology and Biotechnology,General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/biot.201800416
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