Parameter space abstraction and unfolding semantics of discrete regulatory networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00108116" target="_blank" >RIV/00216224:14330/19:00108116 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.tcs.2018.03.009" target="_blank" >http://dx.doi.org/10.1016/j.tcs.2018.03.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.tcs.2018.03.009" target="_blank" >10.1016/j.tcs.2018.03.009</a>
Alternative languages
Result language
angličtina
Original language name
Parameter space abstraction and unfolding semantics of discrete regulatory networks
Original language description
The modelling of discrete regulatory networks combines a graph specifying the pairwise influences between the variables of the system, and a parametrisation from which can be derived a discrete transition system. Given the influence graph only, the exploration of admissible parametrisations and the behaviours they enable is computationally demanding due to the combinatorial explosions of both parametrisation and reachable state space. This article introduces an abstraction of the parametrisation space and its refinement to account for the existence of given transitions, and for constraints on the sign and observability of influences. The abstraction uses a convex sublattice containing the concrete parametrisation space specified by its infimum and supremum parametrisations. It is shown that the computed abstractions are optimal, i.e., no smaller convex sublattice exists. Although the abstraction may introduce over-approximation, it has been proven to be conservative with respect to reachability of states. Then, an unfolding semantics for Parametric Regulatory Networks is defined, taking advantage of concurrency between transitions to provide a compact representation of reachable transitions. A prototype implementation is provided: it has been applied to several examples of Boolean and multi-valued networks, showing its tractability for networks with numerous components.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
<a href="/en/project/GA15-11089S" target="_blank" >GA15-11089S: Parameter Discovery for Biological Models Using Model Checking</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Theoretical Computer Science
ISSN
0304-3975
e-ISSN
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Volume of the periodical
765
Issue of the periodical within the volume
April
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
25
Pages from-to
120-144
UT code for WoS article
000473372600007
EID of the result in the Scopus database
2-s2.0-85049004467