Document Detail

Examples of testing global identifiability of biological and biomedical models with the DAISY software.
MedLine Citation:
PMID:  20185123     Owner:  NLM     Status:  MEDLINE    
DAISY (Differential Algebra for Identifiability of SYstems) is a recently developed computer algebra software tool which can be used to automatically check global identifiability of (linear and) nonlinear dynamic models described by differential equations involving polynomial or rational functions. Global identifiability is a fundamental prerequisite for model identification which is important not only for biological or medical systems but also for many physical and engineering systems derived from first principles. Lack of identifiability implies that the parameter estimation techniques may not fail but any obtained numerical estimates will be meaningless. The software does not require understanding of the underlying mathematical principles and can be used by researchers in applied fields with a minimum of mathematical background. We illustrate the DAISY software by checking the a priori global identifiability of two benchmark nonlinear models taken from the literature. The analysis of these two examples includes comparison with other methods and demonstrates how identifiability analysis is simplified by this tool. Thus we illustrate the identifiability analysis of other two examples, by including discussion of some specific aspects related to the role of observability and knowledge of initial conditions in testing identifiability and to the computational complexity of the software. The main focus of this paper is not on the description of the mathematical background of the algorithm, which has been presented elsewhere, but on illustrating its use and on some of its more interesting features. DAISY is available on the web site approximately pia/.
Maria Pia Saccomani; Stefania Audoly; Giuseppina Bellu; Leontina D'Angiò
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2010-02-24
Journal Detail:
Title:  Computers in biology and medicine     Volume:  40     ISSN:  1879-0534     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-04-05     Completed Date:  2010-07-15     Revised Date:  2013-05-30    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  402-7     Citation Subset:  IM    
Copyright Information:
2010 Elsevier Ltd. All rights reserved.
Department of Information Engineering, University of Padova, Padova, Italy.
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MeSH Terms
Computer Simulation
Models, Biological*
Nonlinear Dynamics
Grant Support

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