A novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis

Human Genetics

Volumn 129, Issue 1, 2011, Pages 101-110

  Gui, Jiang ^a   Moore, Jason H ^a,b,c,d,f   Kelsey, Karl T ^e   Marsit, Carmen J ^e   Karagas, Margaret R ^a   Andrew, Angeline S ^a  

^a DARTMOUTH MEDICAL SCHOOL   (United States)

^b Univ of New Hampshire   (United States)

^c University of Vermont   (United States)

^d BROWN UNIVERSITY   (United States)

^e BROWN UNIVERSITY   (United States)

^f TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BLADDER CANCER; CANCER DIAGNOSIS; CANCER SURVIVAL; EPISTASIS; GENE INTERACTION; GENE LOCUS; GENE MAPPING; GENETIC ASSOCIATION; GENOTYPE PHENOTYPE CORRELATION; HERITABILITY; HUMAN; LOG RANK TEST; MAJOR CLINICAL STUDY; MULTIFACTOR DIMENSIONALITY REDUCTION ALGORITHM; PRIORITY JOURNAL; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

ADULT; AGED; ALGORITHMS; CASE-CONTROL STUDIES; COMPUTER SIMULATION; EPISTASIS, GENETIC; FOLLOW-UP STUDIES; GENETIC LOCI; HUMANS; MIDDLE AGED; MODELS, GENETIC; MULTIFACTOR DIMENSIONALITY REDUCTION; NEW HAMPSHIRE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROGNOSIS; SURVIVAL ANALYSIS; URINARY BLADDER NEOPLASMS;

EID: 78651239040     PISSN: 03406717     EISSN: 14321203     Source Type: Journal    
DOI: 10.1007/s00439-010-0905-5     Document Type: Article

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