QSAR with Few Compounds and Many Features-Reference-Cited by-同舟云学术

QSAR with Few Compounds and Many Features

Published:2001-01-12 Issue:3 Volume:41 Page:663-670
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Hawkins Douglas M.¹,Basak Subhash C.¹,Shi Xiaofang¹

Affiliation:

1. School of Statistics, 313 Ford Hall, 224 Church Street S. E., University of Minnesota, Minneapolis, Minnesota 55455, and Natural Resources Research Institute, 5013 Miller Trunk Highway, University of Minnesota, Duluth, Minnesota 55811

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/ci0001177

Reference29 articles.

1. Predicting mutagenicity of chemicals using topological and quantum chemical parameters: A similarity based study

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