Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1781439/ https://www.ncbi.nlm.nih.gov/pubmed/17173670 http://dx.doi.org/10.1186/1742-4682-3-42 |