Unfolding of Parametric Boolean Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00100911" target="_blank" >RIV/00216224:14330/18:00100911 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.entcs.2018.03.009" target="_blank" >http://dx.doi.org/10.1016/j.entcs.2018.03.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.entcs.2018.03.009" target="_blank" >10.1016/j.entcs.2018.03.009</a>

Result language
angličtina
Original language name
Unfolding of Parametric Boolean Networks
Original language description
In systems biology, models of cellular regulatory processes such as gene regulatory networks or signalling pathways are crucial to understanding the behaviour of living cells. Available biological data are however often insufficient for full model specification. In this paper, we focus on partially specified models where the missing information is abstracted in the form of parameters. We introduce a novel approach to analysis of parametric logical regulatory networks addressing both sources of combinatoric explosion native to the model. First, we introduce a new compact representation of admissible parameters using Boolean lattices. Then, we define the unfolding of parametric Boolean networks. The resulting structure provides a partial-order reduction of concurrent transitions, and factorises the common transitions among the concrete models. A comparison is performed against state-of-the-art approaches to parametric model analysis
Czech name
—
Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS 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)

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)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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