Greater power and computational efficiency for kernel-based association testing of sets of genetic variants

Bioinformatics

Volumn 30, Issue 22, 2014, Pages 3206-3214

  Lippert, Christoph ^a   Xiang, Jing ^a   Horta, Danilo ^a   Widmer, Christian ^a   Kadie, Carl ^a   Heckerman, David ^a   Listgarte, Jennifer ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; GENETIC ASSOCIATION; GENETIC VARIABILITY; HUMAN; PHENOTYPE; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; HUMANS; LIKELIHOOD FUNCTIONS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84911399629     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu504     Document Type: Article

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