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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13040-024-00355-3 |