Prediction of Aquatic Toxicity Mode of Action Using Linear Discriminant and Random Forest Models-Reference-Cited by-同舟云学术

Prediction of Aquatic Toxicity Mode of Action Using Linear Discriminant and Random Forest Models

Published:2013-08-20 Issue:9 Volume:53 Page:2229-2239
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Martin Todd M.¹,Grulke Christopher M.²,Young Douglas M.¹,Russom Christine L.³,Wang Nina Y.⁴,Jackson Crystal R.⁵,Barron Mace G.⁵

Affiliation:

1. National Risk Management Research Laboratory, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States

2. National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States

3. National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, 6201 Congdon Boulevard, Duluth, Minnesota 55804, United States

4. National Center for Environmental Assessment, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States

5. National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, 1 Sabine Island Drive, Gulf Breeze, Florida 32561, United States

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci400267h

Reference57 articles.

1. Mode of action and the assessment of chemical hazards in the presence of limited data: use of structure-activity relationships (SAR) under TSCA, Section 5.

2. QSARS of mutagens and carcinogens: Two case studies illustrating problems in the construction of models for noncongeneric chemicals

3. “VOLUME FRACTION” CORRELATION FOR NARCOSIS IN AQUATIC ORGANISMS: THE KEY ROLE OF PARTITIONING

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