Machine learning for metabolic engineering: A review. (2020-11-19T00:00:00.000000Z)

TL;DR

This review offers 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 improving production.

Authors

Tijana Radivojević

3 papers

Héctor García Martín

2 papers

Christopher E. Lawson

1 papers

J. M. Martí

1 papers

S. V. R. Jonnalagadda

1 papers

R. Gentz

1 papers

N. Hillson

1 papers

S. Peisert

1 papers

Joonhoon Kim

1 papers

B. Simmons

1 papers

C. Petzold

1 papers

S. Singer

1 papers

A. Mukhopadhyay

1 papers

Deepti Tanjore

1 papers

Joshua G. Dunn

1 papers

TL;DR

Authors

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