Incorporating Biological, Chemical, and Toxicological Knowledge Into Predictive Models of Toxicity-Reference-Cited by-同舟云学术

Incorporating Biological, Chemical, and Toxicological Knowledge Into Predictive Models of Toxicity

Published:2012-09-14 Issue:2 Volume:130 Page:440-441
ISSN:1096-0929
Container-title:Toxicological Sciences
language:en
Short-container-title:

Author:

Dix David J.,Houck Keith A.,Judson Richard S.,Kleinstreuer Nicole C.,Knudsen Thomas B.,Martin Matthew T.,Reif David M.,Richard Ann M.,Shah Imran,Sipes Nisha S.,Kavlock Robert J.

Publisher

Oxford University Press (OUP)

Subject

Toxicology

Link

http://academic.oup.com/toxsci/article-pdf/130/2/440/11004270/kfs281.pdf

Reference16 articles.

1. The ToxCast program for prioritizing toxicity testing of environmental chemicals.;Dix;Toxicol. Sci.,(2007)

2. A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model;Judson;BMC Bioinformatics,(2008)

3. In vitro screening of environmental chemicals for targeted testing prioritization: The ToxCast project.;Judson;Environ. Health Perspect.,(2010)

4. Estimating toxicity-related biological pathway altering doses for high-throughput chemical risk assessment.;Judson;Chem. Res. Toxicol.,(2011)

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