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Bringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data

BACKGROUND: Translating a known metabolic network into a dynamic model requires reasonable guesses of all enzyme parameters. In Bayesian parameter estimation, model parameters are described by a posterior probability distribution, which scores the potential parameter sets, showing how well each of t...

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書目詳細資料
Main Authors: Liebermeister, Wolfram, Klipp, Edda
格式: Artigo
語言:Inglês
出版: BioMed Central 2006
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC1781439/
https://ncbi.nlm.nih.gov/pubmed/17173670
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1742-4682-3-42
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