BRIM, Luboš, Milan ČEŠKA, Martin DEMKO, Samuel PASTVA and David ŠAFRÁNEK. Parameter Synthesis by Parallel Coloured CTL Model Checking. In Roux, Olivier and Bourdon, Jérémie. Computational Methods in Systems Biology. Neuveden: Springer International Publishing, 2015, p. 251-263. ISBN 978-3-319-23400-7. Available from: https://dx.doi.org/10.1007/978-3-319-23401-4_21.
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Basic information
Original name Parameter Synthesis by Parallel Coloured CTL Model Checking
Authors BRIM, Luboš (203 Czech Republic, belonging to the institution), Milan ČEŠKA (203 Czech Republic, belonging to the institution), Martin DEMKO (703 Slovakia, belonging to the institution), Samuel PASTVA (703 Slovakia, belonging to the institution) and David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution).
Edition Neuveden, Computational Methods in Systems Biology, p. 251-263, 13 pp. 2015.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/15:00081130
Organization unit Faculty of Informatics
ISBN 978-3-319-23400-7
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-23401-4_21
UT WoS 000366198300021
Keywords in English model checking; systems biology; Computational Tree Logic; dynamical systems; distributed algorithms
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2016 15:06.
Abstract
We propose a new distributed-memory parallel algorithm for parameter synthesis from CTL hypotheses. The algorithm colours the state space transitions by different parameterisations and extends CTL model checking to identify the maximal set of parameters that guarantee the satisfaction of the given CTL property. We experimentally confirm good scalability of our approach and demonstrate its applicability in the case study of a genetic switch controlling decisions in the cell cycle.
Links
GA15-11089S, research and development projectName: Získávání parametrů biologických modelů pomocí techniky ověřování modelů
Investor: Czech Science Foundation
MUNI/A/1159/2014, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A
MUNI/A/1206/2014, interní kód MUName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A
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