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Partial Order on the set of Boolean Regulatory Functions

dc.contributor.authorJosé E. R. Cury
dc.contributor.authorPedro T. Monteiro
dc.contributor.authorClaudine Chaouiya
dc.date.accessioned2020-03-11T14:39:38Z
dc.date.available2020-03-11T14:39:38Z
dc.date.issued2019-01-22
dc.description.abstractLogical models have been successfully used to describe regulatory and signaling networks without requiring quantitative data. However, existing data is insufficient to adequately define a unique model, rendering the parametrization of a given model a difficult task. Here, we focus on the characterization of the set of Boolean functions compatible with a given regulatory structure, i.e. the set of all monotone nondegenerate Boolean functions. We then propose an original set of rules to locally explore the direct neighboring functions of any function in this set, without explicitly generating the whole set. Also, we provide relationships between the regulatory functions and their corresponding dynamics. Finally, we illustrate the usefulness of this approach by revisiting Probabilistic Boolean Networks with the model of T helper cell differentiation from Mendoza & Xenarios.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationarXiv:1901.07623 [cs.DM]pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/936
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.relation.publisherversionhttps://arxiv.org/abs/1901.07623v1pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectBoolean regulatory networks, Boolean functions, Partial order, Discrete dynamicspt_PT
dc.titlePartial Order on the set of Boolean Regulatory Functionspt_PT
dc.typepreprint
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typepreprintpt_PT

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