Skip to Main content Skip to Navigation
New interface
Journal articles

Bisimilar Booleanization of multivalued networks

Abstract : Discrete modelling frameworks of Biological networks can be divided in two distinct categories: Boolean and multivalued. Although multivalued networks are more expressive for qualifying the regulatory behaviours modelled by more than two values, the ability to automatically convert them to Boolean network with an equivalent behaviour breaks down the fundamental borders between the two approaches. Theoretically investigating the conversion process provides relevant insights into bridging the gap between them. Basically, the conversion aims at finding a Boolean network bisimulating a multivalued one. In this article, we investigate the bisimilar conversion where the Boolean integer coding is a parameter that can be freely modified. Based on this analysis, we define a computational method automatically inferring a bisimilar Boolean network from a given multivalued one.
Complete list of metadata
Contributor : Accord Elsevier CCSD Connect in order to contact the contributor
Submitted on : Friday, July 15, 2022 - 5:13:58 PM
Last modification on : Friday, July 15, 2022 - 5:13:59 PM
Long-term archiving on: : Monday, October 17, 2022 - 2:59:50 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License



Franck Delaplace, Sergiu Ivanov. Bisimilar Booleanization of multivalued networks. BioSystems, 2020, 197, pp.104205. ⟨10.1016/j.biosystems.2020.104205⟩. ⟨hal-02895809⟩



Record views


Files downloads