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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Detalhes bibliográficos
Publicado no:PLoS Comput Biol
Main Authors: Wu, Stephen Gang, Wang, Yuxuan, Jiang, Wu, Oyetunde, Tolutola, Yao, Ruilian, Zhang, Xuehong, Shimizu, Kazuyuki, Tang, Yinjie J., Bao, Forrest Sheng
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2016
Assuntos:
Research Article
Acesso em linha: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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