Statistical Learning Methods Applicable to Genome-Wide Association Studies on Unbalanced Case-Control Disease Data

Statistical Learning Methods Applicable to Genome-Wide Association Studies on Unbalanced Case-Control Disease Data

Despite the fact that imbalance between case and control groups is prevalent in genome-wide association studies (GWAS), it is often overlooked. This imbalance is getting more significant and urgent as the rapid growth of biobanks and electronic health records have enabled the collection of thousands...

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Bibliographic Details
Main Authors: Xiaotian Dai, Guifang Fu, Shaofei Zhao, Yifei Zeng
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Genes
Subjects:
disease
GWAS
unbalanced case-control
genomic selection
genomic prediction
Online Access:https://www.mdpi.com/2073-4425/12/5/736

Internet

https://www.mdpi.com/2073-4425/12/5/736

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