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Machine learning framework for assessment of microbial factory performance
Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess conditions. On the other hand, machine learning, complementary to metabolic mo...
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| Udgivet i: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6333410/ https://ncbi.nlm.nih.gov/pubmed/30645629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0210558 |
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