Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity-Reference-Cited by-同舟云学术

Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity

Published:2018-05-02 Issue:2 Volume:164 Page:512-526
ISSN:1096-6080
Container-title:Toxicological Sciences
language:en
Short-container-title:

Author:

Liu Ruifeng¹^ORCID,Madore Michael¹,Glover Kyle P²³,Feasel Michael G³^ORCID,Wallqvist Anders¹

Affiliation:

1. Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, Fort Detrick, Maryland 21702

2. Defense Threat Reduction Agency, Ft Belvoir, Virginia 22060

3. U.S. Army - Edgewood Chemical Biological Center, Operational Toxicology, Aberdeen Proving Ground, Maryland 21010

Funder

U.S. Army Medical Research

Defense Threat Reduction Agency

Publisher

Oxford University Press (OUP)

Subject

Toxicology

Link

http://academic.oup.com/toxsci/article-pdf/164/2/512/25222536/kfy111.pdf

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