In silico prediction of toxic action mechanisms of phenols for imbalanced data with Random Forest learner

Title
In silico prediction of toxic action mechanisms of phenols for imbalanced data with Random Forest learner
Authors
Keywords
-
Journal
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
Volume 35, Issue -, Pages 21-27
Publisher
Elsevier BV
Online
2012-01-18
DOI
10.1016/j.jmgm.2012.01.002

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