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In silico prediction of toxic action mechanisms of phenols for imbalanced data with Random Forest learner Journal article
Journal of Molecular Graphics and Modelling, 2012,Volume: 35,Page: 21-27
Authors:  Jing Chen;  Yuan Yan Tang;  Bin Fang;  Chang Guo
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Cost-sensitive  Phenols  Qsar  Random Forest  Toxic Action Mechanisms