Choosing Feature Selection and Learning Algorithms in QSAR
Author:
Affiliation:
1. Department of Pharmaceutical Biosciences Uppsala University, P.O. Box 591, SE-751 24 Uppsala, Sweden
2. AstraZeneca Research and Development, Pepparedsleden 1, SE-431 83 Mölndal, Sweden
3. H. Lundbeck A/S, Ottiliavej 9, DK-2500 Valby, Denmark
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/ci400573c
Reference39 articles.
1. The Recent Trend in QSAR Modeling - Variable Selection and 3D-QSAR Methods
2. Benchmarking Variable Selection in QSAR
3. Feature Selection and Linear/Nonlinear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3β Inhibitory Activities
4. A Comparative Study on Feature Selection Methods for Drug Discovery
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