Variable Stabilisation in Boolean Monotonic Model Pools
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00139580" target="_blank" >RIV/00216224:14330/22:00139580 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-15034-0_6" target="_blank" >http://dx.doi.org/10.1007/978-3-031-15034-0_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-15034-0_6" target="_blank" >10.1007/978-3-031-15034-0_6</a>
Alternative languages
Result language
angličtina
Original language name
Variable Stabilisation in Boolean Monotonic Model Pools
Original language description
One of the central issues in logical modeling is whether a certain property of the model emerges due to its topological structure (i.e. its influence graph), or due to its dynamical structure (i.e. its logical update functions). In this paper, we practically evaluate a previously proposed formal instrument for studying this question: monotonic model pools and their associated skeleton Boolean networks. Specifically, we propose a simplified over-approximation theorem for skeleton networks and study the emergence of variable stability in these systems. Additionally, we consider the notion of minimal stabilizing interventions and show how to compute such interventions symbolically. We survey the practicality of this methodology on 100+ real-world Boolean networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GA22-10845S" target="_blank" >GA22-10845S: Unraveling the role of polyhydroxyalkanoates in Schlegelella thermodepolymerans – promising environmental bacterium for next generation biotechnology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
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
ISBN
9783031150333
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
16
Pages from-to
122-137
Publisher name
Springer
Place of publication
Cham
Event location
Bucharest
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001304474200011