An ensemble learning approach jointly modeling main and interaction effects in genetic association studies

Genetic Epidemiology

Volumn 32, Issue 4, 2008, Pages 285-300

  Zhang, Zhaogong ^a,b   Zhang, Shuanglin ^a,b   Wong, Man Yu ^c   Wareham, Nicholas J ^d   Sha, Qiuying ^a  

^a MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

^b HEILONGJIANG UNIVERSITY   (China)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Association study; Complex disease; Epistasis; Type 2 diabetes

Indexed keywords

ARTICLE; GENE INTERACTION; GENE LOCUS; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; METHODOLOGY; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; DIABETES MELLITUS, TYPE 2; EPIDEMIOLOGIC METHODS; EPISTASIS, GENETIC; GENETIC PREDISPOSITION TO DISEASE; HUMANS; LOGISTIC MODELS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; REGRESSION ANALYSIS;

EID: 43249122882     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20304     Document Type: Article

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