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hal.structure.identifierCentro de Investigaciones Biomédicas
hal.structure.identifierCenter for Genome Regulation
dc.contributor.authorASSAR, Rodrigo
hal.structure.identifierCenter for Genome Regulation [Santiago] [CGR]
hal.structure.identifierCentro de Investigaciones Biomédicas, Facultad de Ciencias Biológicas and Facultad de Medicina
dc.contributor.authorMONTECINO, Martín A
hal.structure.identifierCentre de modélisation mathématique / Centro de Modelamiento Matemático [Santiago] [CMM]
hal.structure.identifierCentro de Regulación Génica [CRG]
dc.contributor.authorMAASS, Alejandro
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierModels and Algorithms for the Genome [ MAGNOME]
dc.contributor.authorSHERMAN, David J
dc.date.accessioned2024-04-15T09:58:16Z
dc.date.available2024-04-15T09:58:16Z
dc.date.issued2014-06-02
dc.identifier.issn0303-2647
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198987
dc.description.abstractEn: In order to describe the dynamic behavior of a complex biological system, it is useful to combine models integrating processes at different levels and with temporal dependencies. Such combinations are necessary for modeling acclimatization, a phenomenon where changes in environmental conditions can induce drastic changes in the behavior of a biological system. In this article we formalize the use of hybrid systems as a tool to model this kind of biological behavior. A modeling scheme called strong switches is proposed. It allows one to take into account both minor adjustments to the coefficients of a continuous model, and, more interestingly, large-scale changes to the structure of the model. We illustrate the proposed methodology with two applications: acclimatization in wine fermentation kinetics, and acclimatization of osteo-adipo differentiation system linking stimulus signals to bone mass.
dc.language.isoen
dc.publisherElsevier
dc.subject.enAcclimatization
dc.subject.enHybrid systems
dc.title.enModeling acclimatization by hybrid systems: Condition changes alter biological system behavior models.
dc.typeArticle de revue
dc.identifier.doi10.1016/j.biosystems.2014.05.007
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
dc.subject.halMathématiques [math]/Systèmes dynamiques [math.DS]
bordeaux.journalBioSystems
bordeaux.page43-53
bordeaux.volume121
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01002987
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01002987v1
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