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Optimal experiment selection for parameter estimation in biological differential equation models
BACKGROUND: Parameter estimation in biological models is a common yet challenging problem. In this work we explore the problem for gene regulatory networks modeled by differential equations with unknown parameters, such as decay rates, reaction rates, Michaelis-Menten constants, and Hill coefficient...
Autores principales: | Transtrum, Mark K, Qiu, Peng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3536579/ https://www.ncbi.nlm.nih.gov/pubmed/22838836 http://dx.doi.org/10.1186/1471-2105-13-181 |
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