Detecting Attractors in Biological Models with Uncertain Parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00094899" target="_blank" >RIV/00216224:14330/17:00094899 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-67471-1_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67471-1_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67471-1_3" target="_blank" >10.1007/978-3-319-67471-1_3</a>
Alternative languages
Result language
angličtina
Original language name
Detecting Attractors in Biological Models with Uncertain Parameters
Original language description
Complex behaviour arising in biological systems is typically characterised by various kinds of attractors. An important problem in this area is to determine these attractors. Biological systems are usually described by highly parametrised dynamical models that can be represented as parametrised graphs typically constructed as discrete abstractions of continuous-time models. In such models, attractors are observed in the form of terminal strongly connected components (tSCCs). In this paper, we introduce a novel method for detecting tSCCs in parametrised graphs. The method is supplied with a parallel algorithm and evaluated on discrete abstractions of several non-linear biological models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Methods in Systems Biology. CMSB 2017
ISBN
9783319674704
ISSN
0302-9743
e-ISSN
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Number of pages
17
Pages from-to
40-56
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Darmstadt, Germany
Event date
Sep 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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