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Aufsatz(elektronisch)#113. November 2019

Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs)

In: Risk analysis: an international journal, Band 40, Heft 3, S. 512-523

ISSN: 1539-6924

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Open Access#22022

Environmental levels of carbaryl impair zebrafish larvae behaviour: The potential role of ADRA2B and HTR2B

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Open Access#32021

Androgenic activation, impairment of the monoaminergic system and altered behavior in zebrafish larvae exposed to environmental concentrations of fenitrothion

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Open Access#42017

The role of omics in the application of adverse outcome pathways for chemical risk assessment

In: Brockmeier , E K , Hodges , G , Hutchinson , T H , Butler , E , Hecker , M , Tollefsen , K E , Garcia-Reyero , N , Kille , P , Becker , D , Chipman , K , Colbourne , J , Collette , T W , Cossins , A , Cronin , M , Graystock , P , Gutsell , S , Knapen , D , Katsiadaki , I , Lange , A , Marshall , S , Owen , S F , Perkins , E J , Plaistow , S , Schroeder , A , Taylor , D , Viant , M , Ankley , G & Falciani , F 2017 , ' The role of omics in the application of adverse outcome pathways for chemical risk assessment ' , Toxicological Sciences , vol. 158 , no. 2 , kfx097 , pp. 252-262 . https://doi.org/10.1093/toxsci/kfx097

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