BENEŠ, Nikola, Luboš BRIM, Jan ČERVENÝ, Samuel PASTVA, David ŠAFRÁNEK, Jakub ŠALAGOVIČ and Matej TROJÁK. Fully Automated Attractor Analysis of Cyanobacteria Models. In Marian Barbu, Răzvan Şolea, Adrian Filipescu. 22nd International Conference on System Theory, Control and Computing. Neuveden: IEEE, 2018, p. 354-359. ISBN 978-1-5386-4444-7. Available from: https://dx.doi.org/10.1109/ICSTCC.2018.8540762.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Fully Automated Attractor Analysis of Cyanobacteria Models
Name in Czech Plne Automatizovaná Analýza Atraktorů Modelů Cyanobaktérií
Authors BENEŠ, Nikola (203 Czech Republic, belonging to the institution), Luboš BRIM (203 Czech Republic, belonging to the institution), Jan ČERVENÝ (203 Czech Republic), Samuel PASTVA (703 Slovakia, belonging to the institution), David ŠAFRÁNEK (203 Czech Republic, belonging to the institution), Jakub ŠALAGOVIČ (703 Slovakia) and Matej TROJÁK (703 Slovakia, belonging to the institution).
Edition Neuveden, 22nd International Conference on System Theory, Control and Computing, p. 354-359, 6 pp. 2018.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/18:00101265
Organization unit Faculty of Informatics
ISBN 978-1-5386-4444-7
Doi http://dx.doi.org/10.1109/ICSTCC.2018.8540762
UT WoS 000465109800058
Keywords (in Czech) atraktory; parametrizovaný graf; koncové silne souvislé komponenty; cyanobaktérie
Keywords in English attractors; parametrised graph; terminal strongly connected components; cyanobacteria
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2020 19:34.
Abstract
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 demon- strate a novel method for detecting tSCCs in parametrised graphs on several models of cyanobacteria taken from the domain- specific online platform e-cyanobacterium.org.
Links
GA18-00178S, research and development projectName: Diskrétní bifurkační analýza reaktivních systémů
Investor: Czech Science Foundation
LM2015055, research and development projectName: Centrum pro systémovou biologii (Acronym: C4SYS)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0854/2017, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.
Investor: Masaryk University, Category A
PrintDisplayed: 26/4/2024 08:09