A non-parametric method for building predictive genetic tests on high-dimensional data

Human Heredity

Volumn 71, Issue 3, 2011, Pages 161-170

  Ye, Chengyin ^a,b   Cui, Yuehua ^c   Wei, Changshuai ^b   Elston, Robert C ^d   Zhu, Jun ^e   Lu, Qing ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c MICHIGAN STATE UNIVERSITY   (United States)

^d CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e ZHEJIANG UNIVERSITY   (China)

Author keywords

Disease prediction; High dimensional data; Optimal ROC curve

Indexed keywords

HLA DR ANTIGEN; NON RECEPTOR PROTEIN TYROSINE PHOSPHATASE 22;

ALGORITHM; ARTICLE; GENE INTERACTION; GENETIC ASSOCIATION; GENETIC RISK; GENETIC SCREENING; GENOME; KNOWLEDGE; NONPARAMETRIC TEST; PREDICTIVE VALIDITY; RHEUMATOID ARTHRITIS;

ARTHRITIS, RHEUMATOID; COMPUTER SIMULATION; DATABASES, GENETIC; GENETIC PREDISPOSITION TO DISEASE; GENETIC TESTING; GENOME-WIDE ASSOCIATION STUDY; HUMANS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RISK FACTORS; ROC CURVE; STATISTICS, NONPARAMETRIC;

EID: 79960749427     PISSN: 00015652     EISSN: 14230062     Source Type: Journal    
DOI: 10.1159/000327299     Document Type: Article

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