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Set-base dynamical parameter estimation and model invalidation for biochemical reaction networks
BACKGROUND: Mathematical modeling and analysis have become, for the study of biological and cellular processes, an important complement to experimental research. However, the structural and quantitative knowledge available for such processes is frequently limited, and measurements are often subject...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898671/ https://www.ncbi.nlm.nih.gov/pubmed/20500862 http://dx.doi.org/10.1186/1752-0509-4-69 |