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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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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2019
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| Matèries: | |
| Accés en línia: | 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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