Computational Analysis of Large-Scale Multi-Affine ODE Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00028617" target="_blank" >RIV/00216224:14330/09:00028617 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Computational Analysis of Large-Scale Multi-Affine ODE Models
Original language description
A biological system as considered in systems biology is understood in the form of a network of interactions among individual biochemical species. Complexity of these networks is inherently enormous, even for simple (e.g., procaryotic) organisms. When modeling and analyzing dynamics of these networks, i.e., exploring how the species evolve in time, we have to fight even another level of complexity - the enormous state space. In this paper we deal with a class of biological models that can be described interms of multi-affine dynamic systems. First, we present a prototype tool for parallel (distributed) analysis of multi-affine systems discretized into rectangles that adapts the approach of Belta et.al. Secondly, we propose heuristics that significantlyincrease applicability of the approach to large biological models. Effects of different settings of the heuristics is firstly compared on a set of experiments performed on small models. Subsequently, experiments on large models are provi
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Workshop on High Performance Computational Systems Biology
ISBN
978-0-7695-3809-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos (California)
Event location
Trento
Event date
Jan 1, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000275038300011