English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/39191
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

AMIGO, a toolbox for advanced model identification in systems biology using global optimization

AuthorsBalsa-Canto, Eva ; Banga, Julio R.
KeywordsAMIGO
Parameter identification
Sytems biology
Issue Date17-Jun-2011
PublisherOxford University Press
CitationBioinformatics 2716): 2311-2313 (2011)
AbstractABSTRACT Motivation: Mathematical models of complex biological systems usually consist of sets of differential equations which depend on several parameters which are not accessible to experimentation. These parameters must be estimated by fitting the model to experimental data. This estimation problem is very challenging due to the non-linear character of the dynamics, the large number of parameters and the frequently poor information content of the experimental data (poor practical identifiability). The design of optimal (more informative) experiments is an associated problem of the highest interest. Results: This work presents AMIGO, a toolbox which facilitates parametric identification by means of advanced numerical techniques which cover the full iterative identification procedure putting especial emphasis on robust methods for parameter estimation and practical identifiability analyses, plus flexible capabilities for optimal experimental design.
Publisher version (URL)http://dx.doi.org/10.1093/bioinformatics/btr370
URIhttp://hdl.handle.net/10261/39191
DOIhttp://dx.doi.org/10.1093/bioinformatics/btr370
E-ISSN1460-2059
Appears in Collections:(IIM) Artículos
Files in This Item:
File Description SizeFormat 
Evabalsa.pdf220,05 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.