Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies

Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies

Abstract Background Non-linear relationships at the genotype level are essential in understanding the genetic interactions of complex disease traits. Genome-wide association Studies (GWAS) have revealed statistical association of the SNPs in many complex diseases. As GWAS results could not thoroughl...

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Bibliographic Details
Main Authors: Burcu Yaldız, Onur Erdoğan, Sevda Rafatov, Cem Iyigün, Yeşim Aydın Son
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BioData Mining
Subjects:
Biomarker
Three-way interaction
Entropy
GWAS
Alzheimer disease
Online Access:https://doi.org/10.1186/s13040-024-00355-3

Internet

https://doi.org/10.1186/s13040-024-00355-3

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