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Réseaux Bayésiens Dynamiques : méthodologie pour l’inférence sur les schémas de mode d’Action en Toxicologie
Frédéric Y. Bois
,
Wang Gao
,
Ghislaine Gayraud
9. Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2018), May 2018, Toulouse, France. pp.47-56
Conference papers
ineris-01863861v1
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Quantitative modelling of adverse outcome pathway for risk assessment
Wang Gao
,
Ghislaine Gayraud
,
Frédéric Y. Bois
18. Journée du réseau AIGM "Algorithmic Issues for Inference in Graphical Models", Dec 2017, Toulouse, France
Conference papers
ineris-01853594v1
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A quantitative AOP of mitochondrial toxicity based on data from three cell lines
Cleo Tebby
,
Wang Gao
,
Johannes Delp
,
Giada Carta
,
Wanda van der Stel
,
et al.
Journal articles
ineris-03742099v1
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Application of three approaches for quantitative AOP development to renal toxicity
Elias Zgheib
,
Wang Gao
,
Alice Limonciel
,
Hristo Aladjov
,
Huan Yang
,
et al.
Journal articles
hal-02987394v1
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Probabilistic generation of random networks taking into account information on motifs occurrence
Frédéric Y. Bois
,
Ghislaine Gayraud
Journal articles
ineris-01862569v1
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Graph_sampler : a simple tool for fully Bayesian analyses of DAG-models
Sagnik Datta
,
Ghislaine Gayraud
,
Eric Leclerc
,
Frédéric Y. Bois
Journal articles
ineris-01853448v1
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Structure learning of Bayesian networks involving cyclic structures
Witold Wiecek
,
Frédéric Bois
,
Ghislaine Gayraud
2019
Preprints, Working Papers, ...
hal-02130362v1
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