Clark, Allan ORCID: https://orcid.org/0000-0003-2965-8941, Galpin, Vashti, Gilmore, Stephen, Guerriero, Maria Luisa and Hillston, Jane (2012) Formal methods for checking the consistency of biological models. Adv Exp Med Biol, 736. pp. 461-75. ISSN 0065-2598
Full text not available from this repository. (Request a copy)Abstract
Formal modeling approaches such as process algebras and Petri nets seek to provide insight into biological processes by using both symbolic and numerical methods to reveal the dynamics of the process under study. These formal approaches differ from classical methods of investigating the dynamics of the process through numerical integration of ODEs because they additionally provide alternative representations which are amenable to discrete-state analysis and logical reasoning. Backed by these additional analysis methods, formal modeling approaches have been able to identify errors in published and widely-cited biological models. This paper provides an introduction to these analysis methods, and explains the benefits which they can bring to ensuring the consistency of biological models.
Item Type: | Article |
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Uncontrolled Keywords: | computational biology,computer simulation,kinetics,models, biological,reproducibility of results,software |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Centres > Population Health |
Depositing User: | Pure Connector |
Date Deposited: | 20 Jan 2014 15:56 |
Last Modified: | 19 Oct 2023 01:12 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/46101 |
DOI: | 10.1007/978-1-4419-7210-1_27 |
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