Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals-Reference-Cited by-同舟云学术

Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals

Published:2000-06-22 Issue:4 Volume:40 Page:885-890
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Basak Subhash C.¹,Grunwald Gregory D.¹,Gute Brian D.¹,Balasubramanian Krishnan¹,Opitz David¹

Affiliation:

1. Natural Resources Research Institute, University of Minnesota, Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, Department of Chemistry and Biochemistry, Physical Sciences Building, Arizona State University, D-106 Tempe, Arizona 85287-1604, and Department of Computer Science, Social Science Building, University of Montana, Missoula, Montana 5981

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci9901136

Reference43 articles.

1. Basak, S. C.; Gute, B. D.; Grunwald, G. D. InTopological Indices and RelatedDescriptors in QSAR and QSPR; Devillers, J., Balaban, A. T., Eds.; Gordon & Breach: Reading, U.K., 1999; pp 675−696.

2. Assessment of the Mutagenicity of Aromatic Amines from Theoretical Structural Parameters: A Hierarchical Approach

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