Active and machine learning-based approaches to rapidly enhance microbial chemical production.

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作者： Prashant,Kumar ^[1] ; Paul A,Adamczyk ^[2] ; Xiaolin,Zhang ^[2] ; Ramon Bonela,Andrade ^[2] ; Philip A,Romero ^[3] ; Parameswaran,Ramanathan ^[4] ; Jennifer L,Reed ^[2]

作者单位： Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI, 53706, USA; ZS Associates, 1560 Sherman Ave, Evanston, IL, 60201, USA. ^[1] Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI, 53706, USA. ^[2] Department of Biochemistry, University of Wisconsin-Madison, 440 Henry Mall, Madison, WI, 53706, USA. ^[3] Department of Electrical and Computer Engineering, University of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI, 53706, USA. Electronic address: parmesh.ramanathan@wisc.edu. ^[4]

关键词 Active learning Classification Design of experiments Machine learning Metabolic engineering Support vector machine

主题词大肠杆菌(Escherichia coli);表型(Phenotype)

DOI 10.1016/j.ymben.2021.06.009

PMID 34229079

发布时间 2021-11-24

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