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Classification Models for hERG Inhibitors by Counter-Propagation Neural Networks

✍ Scribed by Khac-Minh Thai; Gerhard F. Ecker


Book ID
111368587
Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
361 KB
Volume
72
Category
Article
ISSN
1747-0277

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## Abstract Counter propagation neural network (CPNN) is one of the attractive tools of classification in QSAR studies. A major obstacle in classification by CPNN is finding the best subset of variables. In this study, the performance of some different feature selection algorithms including F score