Doppelgänger spotting in biomedical gene expression data

Doppelgänger spotting in biomedical gene expression data

Doppelgänger effects (DEs) occur when samples exhibit chance similarities such that, when split across training and validation sets, inflates the trained machine learning (ML) model performance. This inflationary effect causes misleading confidence on the deployability of the model. Thus, so far, th...

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Bibliographic Details
Main Authors: Wang, Li Rong, Choy, Xin Yun, Goh, Wilson Wen Bin
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Science::Biological sciences
Engineering::Computer science and engineering
Bioinformatics
Genomics
Online Access:https://hdl.handle.net/10356/164208
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/164208

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