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Réseaux Bayésiens Dynamiques : méthodologie pour l’inférence sur les schémas de mode d’Action en Toxicologie

Abstract : In toxicology, an Adverse Outcome Pathway (AOP) is a conceptual framework that qualitatively describes the existing knowledge on the links between the two anchor points: Mo- lecular Initiating Event (MIE) and Adverse Outcome (AO) at a level of biological organisation relevant for risk assessment. The transformation of an AOP to its quantitative version, qAOP allows to build a powerful risk assessment tool, thanks to its ability to quantitatively predict the AO. This paper presents a new method for modelling qAOP using Dynamic Bayesian Networks (DBN).
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Submitted on : Wednesday, August 29, 2018 - 10:12:32 AM
Last modification on : Wednesday, September 5, 2018 - 3:15:59 PM
Long-term archiving on: : Friday, November 30, 2018 - 2:50:55 PM

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Frédéric Y. Bois, Wang Gao, Ghislaine Gayraud. Réseaux Bayésiens Dynamiques : méthodologie pour l’inférence sur les schémas de mode d’Action en Toxicologie. 9. Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2018), May 2018, Toulouse, France. pp.47-56. ⟨ineris-01863861⟩

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