Bayesian variable selection for hierarchical gene–environment and gene–gene interactions

Changlu Liu; Jianzhong Ma; Christopher I. Amos

doi:10.1007/s00439-014-1478-5

ScienceGate Book Chapters

JOURNAL ARTICLE

Bayesian variable selection for hierarchical gene–environment and gene–gene interactions

Changlu Liu Jianzhong Ma Christopher I. Amos

Year: 2014 Journal: Human Genetics Vol: 134 (1)Pages: 23-36 Publisher: Springer Science+Business Media

DOI: 10.1007/s00439-014-1478-5

Get Full-Text PDF Get Analytical Report

Keywords:

Hierarchical database model Biology Bayesian hierarchical modeling Gene interaction Bayesian probability Gene–environment interaction Constraint (computer-aided design) Bayes' theorem Gene Selection (genetic algorithm) Computer science Computational biology Artificial intelligence Genetics Mathematics Data mining

Metrics

Cited By

0.86

FWCI (Field Weighted Citation Impact)

Refs

0.78

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Genetic and phenotypic traits in livestock

Life Sciences → Biochemistry, Genetics and Molecular Biology → Genetics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Evolution and Genetic Dynamics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Genetics

Bayesian variable selection for hierarchical gene–environment and gene–gene interactions

Metrics

Citation History

Topics

Related Documents

Semiparametric Bayesian variable selection for gene‐environment interactions

Robust Bayesian Variable Selection for Gene–Environment Interactions

Identifying Gene–Environment Interactions With Robust Marginal Bayesian Variable Selection

Bayesian mixture modeling of gene‐environment and gene‐gene interactions

Gene selection: a Bayesian variable selection approach