Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
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Title
Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
Authors
Keywords
Cheminformatics, Chemoprevention, Natural products, QSAR, Virtual screening
Journal
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
Volume 28, Issue 6, Pages 631-646
Publisher
Springer Nature
Online
2014-05-19
DOI
10.1007/s10822-014-9748-9
References
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