Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming

(13)C metabolic flux analysis ((13)C-MFA) has been widely used to measure in vivo enzyme reaction rates (i.e., metabolic flux) in microorganisms. Mining the relationship between environmental and genetic factors and metabolic fluxes hidden in existing fluxomic data will lead to predictive models tha...

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Enregistré dans:
Détails bibliographiques
Publié dans:PLoS Comput Biol
Auteurs principaux: Wu, Stephen Gang, Wang, Yuxuan, Jiang, Wu, Oyetunde, Tolutola, Yao, Ruilian, Zhang, Xuehong, Shimizu, Kazuyuki, Tang, Yinjie J., Bao, Forrest Sheng
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2016
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4836714/
https://ncbi.nlm.nih.gov/pubmed/27092947
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004838
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