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Article

A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.

BioMed research international - 1 Jan 2013

Koo Ching Lee, Liew Mei Jing, Mohamad Mohd Saberi, Salleh Abdul Hakim Mohamed

Abstract excerpt

Recently, the greatest statistical computational challenge in genetic epidemiology is to identify and characterize the genes that interact with other genes and environment factors that bring the effect on complex multifactorial disease. These gene-gene interactions are also denoted as epitasis in which this phenomenon cannot be solved by traditional statistical method due to the high dimensionality of the data...

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Identifiers

PMID: 24228248
DOI: 10.1155/2013/432375
PMCID: PMC3818807

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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