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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2022
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Online Access: | https://hdl.handle.net/10356/155991 |
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Institution: | Nanyang Technological University |
Language: | English |
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