Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
Author:
Affiliation:
1. Computer Science Department, University of Toronto, Toronto, Ontario ON M5S, Canada
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/ci500747n
Reference21 articles.
1. Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling
2. Contemporary QSAR Classifiers Compared
3. Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling
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