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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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| Main Authors: | , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BioMed Central
2006
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| 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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