Leave-Cluster-Out Cross-Validation Is Appropriate for Scoring Functions Derived from Diverse Protein Data Sets

标题
Leave-Cluster-Out Cross-Validation Is Appropriate for Scoring Functions Derived from Diverse Protein Data Sets
作者
关键词
-
出版物
Journal of Chemical Information and Modeling
Volume 50, Issue 11, Pages 1961-1969
出版商
American Chemical Society (ACS)
发表日期
2010-10-12
DOI
10.1021/ci100264e

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