Skip to Main content Skip to Navigation
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 metadatas

https://hal.archives-ouvertes.fr/hal-02895809
Contributor : Frédéric Davesne <>
Submitted on : Friday, July 10, 2020 - 10:15:04 AM
Last modification on : Saturday, July 11, 2020 - 3:43:30 AM

Identifiers

Citation

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

Share

Metrics

Record views

24