Comparative Analysis of Predictive Models for Nongenotoxic Hepatocarcinogenicity Using Both Toxicogenomics and Quantitative Structure–Activity Relationships-Reference-Cited by-同舟云学术

Comparative Analysis of Predictive Models for Nongenotoxic Hepatocarcinogenicity Using Both Toxicogenomics and Quantitative Structure–Activity Relationships

Published:2011-06-20 Issue:7 Volume:24 Page:1062-1070
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Liu Zhichao¹,Kelly Reagan²,Fang Hong²,Ding Don²,Tong Weida¹

Affiliation:

1. Center of Excellence for Bioinformatics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, United States

2. Z-Tech, an ICF International Company at FDA's National Center for Toxicological Research, 3900 NCTR Road, Jefferson, Arkansas 72079, United States

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/tx2000637

Reference43 articles.

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4. Predicting the hepatocarcinogenic potential of alkenylbenzene flavoring agents using toxicogenomics and machine learning

5. Supplement to the Carcinogenic Potency Database (CPDB): Results of Animal Bioassays Published in the General Literature through 1997 and by the National Toxicology Program in 1997–1998

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