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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Detalles Bibliográficos
Autores principales: Wu, Stephen Gang, Wang, Yuxuan, Jiang, Wu, Oyetunde, Tolutola, Yao, Ruilian, Zhang, Xuehong, Shimizu, Kazuyuki, Tang, Yinjie J., Bao, Forrest Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4836714/
https://www.ncbi.nlm.nih.gov/pubmed/27092947
http://dx.doi.org/10.1371/journal.pcbi.1004838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4836714/
https://www.ncbi.nlm.nih.gov/pubmed/27092947
http://dx.doi.org/10.1371/journal.pcbi.1004838

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