iSCHRUNK – I n S ilico Approach to Ch aracterization and R eduction of Un certainty in the K inetic Models of Genome-scale Metabolic Networks

出版年份 2016 全文链接

标题

作者

关键词

Large-scale kinetic models, Kinetic parameters, Enzyme saturations, Uncertainty reduction, Monte Carlo sampling, Machine learning

出版物

Volume 33, Issue -, Pages 158-168

出版商

Elsevier BV

发表日期

2015-10-25

DOI

10.1016/j.ymben.2015.10.002

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