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@article{1415145,
author = {Kolčák, Juraj and Šafránek, David and Loic, Paulevé and Haar, Stefan},
article_number = {Duben 2018},
doi = {http://dx.doi.org/10.1016/j.entcs.2018.03.009},
keywords = {asynchronous systems; Boolean networks; concurrency; parameters identification; systems biology},
language = {eng},
issn = {1571-0661},
journal = {Electronic Notes in Theoretical Computer Science},
title = {Unfolding of Parametric Boolean Networks},
url = {http://dx.doi.org/10.1016/j.entcs.2018.03.009},
volume = {335},
year = {2018}
}
TY - JOUR
ID - 1415145
AU - Kolčák, Juraj - Šafránek, David - Loic, Paulevé - Haar, Stefan
PY - 2018
TI - Unfolding of Parametric Boolean Networks
JF - Electronic Notes in Theoretical Computer Science
VL - 335
IS - Duben 2018
SP - 67-90
EP - 67-90
PB - Elsevier Science
SN - 15710661
KW - asynchronous systems
KW - Boolean networks
KW - concurrency
KW - parameters identification
KW - systems biology
UR - http://dx.doi.org/10.1016/j.entcs.2018.03.009
L2 - http://dx.doi.org/10.1016/j.entcs.2018.03.009
N2 - 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
ER -
KOLČÁK, Juraj, David ŠAFRÁNEK, Paulevé LOIC a Stefan HAAR. Unfolding of Parametric Boolean Networks. \textit{Electronic Notes in Theoretical Computer Science}. Elsevier Science, roč.~335, Duben 2018, s.~67-90. ISSN~1571-0661. doi:10.1016/j.entcs.2018.03.009. 2018.
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