Machine learning approaches to genome-wide association studies

Machine learning approaches to genome-wide association studies

Genome-wide Association Studies (GWAS) are conducted to identify single nucleotide polymorphisms (variants) associated with a phenotype within a specific population. These variants associated with diseases have a complex molecular aetiology with which they cause the disease phenotype. The genotyping...

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Bibliographic Details
Main Authors: David O. Enoma, Janet Bishung, Theresa Abiodun, Olubanke Ogunlana, Victor Chukwudi Osamor
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of King Saud University: Science
Subjects:
Genome-wide association studies
Machine learning
Statistical learning
Single neuclotide polymorphism
Risk prediction
Epistasis
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364722000283

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http://www.sciencedirect.com/science/article/pii/S1018364722000283

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