Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/69277

TítuloReactive models for biological regulatory networks
Autor(es)Figueiredo, Daniel
Barbosa, L. S.
Palavras-chaveBiological regulatory networks
Switch graphs
Reactivity
DataAbr-2019
EditoraSpringer
RevistaLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
CitaçãoFigueiredo, D., & Barbosa, L. S. (2018). Reactive models for biological regulatory networks. In International Symposium on Molecular Logic and Computational Synthetic Biology (pp. 74-88). Springer
Resumo(s)A reactive model, as studied by D. Gabbay and his collaborators, can be regarded as a graph whose set of edges may be altered whenever one of them is crossed. In this paper we show how reactive models can describe biological regulatory networks and compare them to Boolean networks and piecewise-linear models, which are some of the most common kinds of models used nowadays. In particular, we show that, with respect to the identification of steady states, reactive Boolean networks lie between piecewise linear models and the usual, plain Boolean networks. We also show this ability is preserved by a suitable notion of bisimulation, and, therefore, by network minimisation.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/69277
ISBN978-3-030-19431-4
e-ISBN978-3-030-19432-1
DOI10.1007/978-3-030-19432-1_5
ISSN0302-9743
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-030-19432-1_5
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:HASLab - Artigos em atas de conferências internacionais (texto completo)

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