Mining genetic epidemiology data with Bayesian networks I: Bayesian networks and example application (plasma apoE levels) | Zendy

Andréi S. Rodin | Zendy; Eric Boerwinkle | Zendy

Open Access

Mining genetic epidemiology data with Bayesian networks I: Bayesian networks and example application (plasma apoE levels)

Author(s) -

Andréi S. Rodin,

Eric Boerwinkle

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti505

Subject(s) - computer science , bayesian network , bootstrapping (finance) , inference , bayesian probability , missing data , heuristic , data mining , machine learning , artificial intelligence , mathematics , econometrics

The wealth of single nucleotide polymorphism (SNP) data within candidate genes and anticipated across the genome poses enormous analytical problems for studies of genotype-to-phenotype relationships, and modern data mining methods may be particularly well suited to meet the swelling challenges. In this paper, we introduce the method of Belief (Bayesian) networks to the domain of genotype-to-phenotype analyses and provide an example application.

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