Benchmarking optimization methods for parameter estimation in large kinetic models

MOTIVATION: Kinetic models contain unknown parameters that are estimated by optimizing the fit to experimental data. This task can be computationally challenging due to the presence of local optima and ill-conditioning. While a variety of optimization methods have been suggested to surmount these is...

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Detalles Bibliográficos
Autores principales: Villaverde, Alejandro F, Fröhlich, Fabian, Weindl, Daniel, Hasenauer, Jan, Banga, Julio R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394396/
https://www.ncbi.nlm.nih.gov/pubmed/30816929
http://dx.doi.org/10.1093/bioinformatics/bty736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394396/
https://www.ncbi.nlm.nih.gov/pubmed/30816929
http://dx.doi.org/10.1093/bioinformatics/bty736

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