Article

The Use of Class Imbalanced Learning Methods on ULSAM Data to Predict the Case-Control Status in Genome-Wide Association Studies

2023-01-06

Abstract excerpt

Machine learning (ML) methods for uncovering single nucleotide polymorphisms (SNPs) in genome-wide association study (GWAS) data that can be used to predict disease outcomes are becoming increasingly used in genetic research. Two issues with the use of ML models are finding the correct method for dealing with imbalanced data and data training. This article compares three ML models to identify SNPs that predict typ...

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Literature Corpus work: 26a72614-65a1-5586-a204-ae5ef6204d14
DOI: 10.1101/2023.01.05.522884

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