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- W2018178339 abstract "Le developpement de langages formels pour modeliser les systemes biologiques ouvre la voie a la conception de nouveaux outils de raisonnement automatique destines au biologiste modelisateur. La machine abstraite biochimique BIOCHAM est un environnement logiciel qui offre un langage simple de regles pour modeliser des interactions biomoleculaires, et un lan-gage puissant fonde sur la logique temporelle pour formaliser les proprietes biologiques du sys-teme. En s'appuyant sur ces deux langages formels, il devient possible d'utiliser des techniques d'apprentissage automatique pour inferer de nouvelles regles de reaction, estimer les valeurs des parametres cinetiques, et corriger ou completer les modeles semi-automatiquement. Dans cet article, nous decrivons les langages implantes dans BIOCHAM et illustrons l'utilisation du systeme d'apprentissage automatique sur un modele simple du controle du cycle cellulaire. ABSTRACT. With the advent of formal languages for modeling biological systems, the design of automated reasoning tools to assist the biologist becomes possible. The biochemical abstract machine BIOCHAM software environment offers a rule-based language to model bio-molecular interactions and a powerful temporal logic based language to formalize the biological properties of the system. Building on these two formal languages, machine learning techniques can be used to infer new molecular interaction rules from temporal properties, or to estimate kinetic parameter values, in order to semi-automatically correct or complete models from observed biological properties of the system. In this article we describe the formal languages of BIOCHAM and illustrate, on a simple cell cycle control model, the use of the machine learning system." @default.
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- W2018178339 date "2007-04-04" @default.
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- W2018178339 title "Langages formels dans la machine abstraite biochimique BIOCHAM" @default.
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