Using Bayesian networks to discover relations between genes, environment, and disease

BioData Mining

Volumn 6, Issue 1, 2013, Pages

  Su, Chengwei ^a   Andrew, Angeline ^b   Karagas, Margaret R ^b   Borsuk, Mark E ^a  

^a DARTMOUTH COLLEGE   (United States)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

Arsenic; Belief networks; Bioinformatics; Complex traits; Genetic epidemiology; SNP; Structural learning

Indexed keywords

ALGORITHM; BAYESIAN LEARNING; BLADDER CANCER; CANCER INCIDENCE; CANCER SUSCEPTIBILITY; ENVIRONMENT; ENVIRONMENTAL EXPOSURE; EPISTASIS; GENE; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENOTYPE; GENOTYPE ENVIRONMENT INTERACTION; MULTIFACTOR DIMENSIONALITY REDUCTION; PHENOTYPE; PRIORITY JOURNAL; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 84875148417     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/1756-0381-6-6     Document Type: Review

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