Machine learning for metabolic engineering: A review

Machine learning provides researchers a unique opportunity to make metabolic engineering more predictable. In this review, we offer an introduction to this discipline in terms that are relatable to metabolic engineers, as well as providing in-depth illustrative examples leveraging omics data and imp...

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Veröffentlicht in:Metabolic engineering 2021-01, Vol.63, p.34-60
Hauptverfasser: Lawson, Christopher E., Martí, Jose Manuel, Radivojevic, Tijana, Jonnalagadda, Sai Vamshi R., Gentz, Reinhard, Hillson, Nathan J., Peisert, Sean, Kim, Joonhoon, Simmons, Blake A., Petzold, Christopher J., Singer, Steven W., Mukhopadhyay, Aindrila, Tanjore, Deepti, Dunn, Joshua G., Garcia Martin, Hector
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Sprache:eng
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