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Volumn 28, Issue 6, 2014, Pages 631-646

Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers

Author keywords

Cheminformatics; Chemoprevention; Natural products; QSAR; Virtual screening

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL CHEMISTRY; DECISION TREES; DISEASES; LEAD COMPOUNDS; ORGANIC COMPOUNDS; PRODUCT DESIGN;

EID: 84902785117     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-014-9748-9     Document Type: Article
Times cited : (25)

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