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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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