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

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

13C metabolic flux analysis (13C-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 that ca...

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Bibliographic Details
Main Authors: Stephen Gang Wu, Yuxuan Wang, Wu Jiang, Tolutola Oyetunde, Ruilian Yao, Xuehong Zhang, Kazuyuki Shimizu, Yinjie J Tang, Forrest Sheng Bao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-04-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4836714?pdf=render

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http://europepmc.org/articles/PMC4836714?pdf=render

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