Kernel canonical correlation analysis for assessing gene-gene interactions and application to ovarian cancer

European Journal of Human Genetics

Volumn 22, Issue 1, 2014, Pages 126-131

  Larson, Nicholas B ^a   Jenkins, Gregory D ^a   Larson, Melissa C ^a   Vierkant, Robert A ^a   Sellers, Thomas A ^b   Phelan, Catherine M ^b   Schildkraut, Joellen M ^c   Sutphen, Rebecca ^d   Pharoah, Paul P D ^e   Gayther, Simon A ^f   Wentzensen, Nicolas ^g   Goode, Ellen L ^a   Fridley, Brooke L ^a,h  

^a MAYO CLINIC   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^c DUKE CANCER INSTITUTE   (United States)

^d UNIVERSITY OF SOUTH FLORIDA   (United States)

^e UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^f UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^g NATIONAL CANCER INSTITUTE   (United States)

^h UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

Author keywords

association studies; canonical correlation; gene gene interaction; kernel methods

Indexed keywords

IMMUNOGLOBULIN ENHANCER BINDING PROTEIN;

ARTICLE; CANCER RISK; CASP8 GENE; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DIAGNOSTIC VALUE; GENE; GENE GENE INTERACTION; GENE INTERACTION; GENETIC ASSOCIATION; GENETIC MODEL; HUMAN; JACKKNIFE TEST; KERNEL METHOD; MAP3K3 GENE; MEASUREMENT ERROR; OVARY CANCER; PRIORITY JOURNAL; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM; TYPE I ERROR; BIOLOGY; COMPUTER PROGRAM; EPISTASIS; FEMALE; GENETIC PREDISPOSITION; GENETICS; HIGH THROUGHPUT SEQUENCING; OVARY TUMOR; PATHOLOGY; PROCEDURES; RISK FACTOR;

COMPUTATIONAL BIOLOGY; EPISTASIS, GENETIC; FEMALE; GENETIC PREDISPOSITION TO DISEASE; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; NF-KAPPA B; OVARIAN NEOPLASMS; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK FACTORS; SOFTWARE;

EID: 84890795684     PISSN: 10184813     EISSN: 14765438     Source Type: Journal    
DOI: 10.1038/ejhg.2013.69     Document Type: Article

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