Machine learning applications in systems metabolic engineering

Current Opinion in Biotechnology

Volumn 64, Issue , 2020, Pages 1-9

  Kim, Gi Bae ^a   Kim, Won Jun ^a   Kim, Hyun Uk ^a   Lee, Sang Yup ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; MACHINE LEARNING; METABOLISM; STRAIN;

ACTIVE APPLICATION; MACHINE LEARNING APPLICATIONS; MACHINE LEARNING APPROACHES; MACHINE LEARNING TECHNIQUES; METABOLIC PATHWAYS; MICROBIAL STRAIN; SUSTAINABLE PRODUCTION; SYSTEMS METABOLIC ENGINEERINGS;

METABOLIC ENGINEERING;

BIG DATA; MACHINE LEARNING; METABOLIC ENGINEERING; REVIEW; FERMENTATION; METABOLISM;

FERMENTATION; MACHINE LEARNING; METABOLIC ENGINEERING; METABOLIC NETWORKS AND PATHWAYS;

EID: 85072703976     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2019.08.010     Document Type: Review

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