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Fully Automated Attractor Analysis of Cyanobacteria Models
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SYSNO ASEP 0497427 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Fully Automated Attractor Analysis of Cyanobacteria Models Author(s) Beneš, N. (CZ)
Brim, L. (CZ)
Pastva, S. (CZ)
Šafránek, D. (CZ)
Troják, M. (CZ)
Červený, Jan (UEK-B) RID, ORCID, SAI
Šalagovič, Jakub (UEK-B)Number of authors 7 Source Title 22nd International Conference on System Theory, Control and Computing (ICSTCC). - Sinaia : IEE, 2018 - ISSN 2372-1618 Pages s. 354-359 Number of pages 6 s. Publication form Online - E Action International Conference on System Theory, Control and Computing (ICSTCC) /22./ Event date 10.12.2018 - 12.12.2018 VEvent location Sinaia Country RO - Romania Event type EUR Language eng - English Country RO - Romania Keywords biological system modeling ; mathematical model ; computational modeling ; numerical models ; analytical models ; data models Subject RIV BC - Control Systems Theory OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects LM2015055 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UEK-B - RVO:86652079 UT WOS 000465109800058 EID SCOPUS 85059955702 DOI 10.1109/ICSTCC.2018.8540762 Annotation Complex dynamics arising in biological systems can be characterised by various kinds of attractors. To that end, the task of determining attractors becomes important in modern systems analysis. Biological systems are typically formalised as highly parametrised continuous-time ODE models. Such models can be abstracted in the form of parametrised graphs. In such abstractions, attractors are observed in the form of terminal strongly connected components (tSCCs). In this paper, we demonstrate a novel method for detecting tSCCs in parametrised graphs on several models of cyanobacteria taken from the domain-specific online platform e-cyanobacterium.org. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2019 Electronic address https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8514498
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