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...

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Detalles Bibliográficos
Autores principales: Transtrum, Mark K, Qiu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
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

Internet

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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