Bringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data
<p>Abstract</p> <p>Background</p> <p>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 t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-12-01
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| Series: | Theoretical Biology and Medical Modelling |
| Online Access: | http://www.tbiomed.com/content/3/1/42 |