How doppelgänger effects in biomedical data confound machine learning

Machine learning (ML) models have been increasingly adopted in drug development for faster identification of potential targets. Cross-validation techniques are commonly used to evaluate these models. However, the reliability of such validation methods can be affected by the presence of data doppelgä...

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Bibliographic Details
Main Authors: Wang, Li Rong, Wong, Limsoon, Goh, Wilson Wen Bin
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155991
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Institution: Nanyang Technological University
Language: English
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