How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology-Reference-Cited by-同舟云学术

How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology

Published:2016-12-19 Issue:2 Volume:155 Page:326-336
ISSN:1096-6080
Container-title:Toxicological Sciences
language:en
Short-container-title:Toxicol. Sci.

Author:

Wittwehr Clemens,Aladjov Hristo,Ankley Gerald,Byrne Hugh J.,de Knecht Joop,Heinzle Elmar,Klambauer Günter,Landesmann Brigitte,Luijten Mirjam,MacKay Cameron,Maxwell Gavin,Meek M. E. (Bette),Paini Alicia,Perkins Edward,Sobanski Tomasz,Villeneuve Dan,Waters Katrina M.,Whelan Maurice

Publisher

Oxford University Press (OUP)

Subject

Toxicology

Link

http://academic.oup.com/toxsci/article-pdf/155/2/326/17673670/kfw207.pdf

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4. Increasing Scientific Confidence in Adverse Outcome Pathways: Application of Tailored Bradford-Hill Considerations for Evaluating Weight of Evidence

5. Toxicogenomics and cancer risk assessment: A framework for key event analysis and dose–response assessment for nongenotoxic carcinogens

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