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Cover Picture: Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic Clearance (Mol. Inf. 1‐2/2019)
Author(s) -
Esaki Tsuyoshi,
Watanabe Reiko,
Kawashima Hitoshi,
Ohashi Rikiya,
NatsumeKitatani Yayoi,
Nagao Chioko,
Mizuguchi Kenji
Publication year - 2019
Publication title -
molecular informatics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.481
H-Index - 68
eISSN - 1868-1751
pISSN - 1868-1743
DOI - 10.1002/minf.201980101
Subject(s) - cover (algebra) , computer science , data mining , artificial intelligence , engineering , mechanical engineering
The cover picture shows that in the prediction of intrinsic clearance in human liver microsomes (CLint), curating the collected data carefully can improve the prediction accuracy of classifiers. More details can be found in the article by Tsuyoshi Esaki et al., please see DOI: 10.1002/minf.201800086