A Bayesian clustering approach for detecting gene-gene interactions in high-dimensional genotype data

DOI10.1515/sagmb-2012-0074zbMath1296.92023OpenAlexW2197032054WikidataQ30825033 ScholiaQ30825033MaRDI QIDQ461676

Sui-Pi Chen, Guan-Hua Huang

Publication date: 13 October 2014

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2012-0074

zbMATH Keywords

epistasisstochastic searchpermutation testDirichlet process mixtures

Mathematics Subject Classification ID

General biostatistics (92B15)

Cites Work

• Unnamed Item
• Equi-energy sampler with applications in statistical inference and statistical mechanics
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• A Bayesian analysis of some nonparametric problems
• Clustering Using Objective Functions and Stochastic Search
• Product Partition Models for Normal Means
• Bayesian Clustering and Product Partition Models

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