Bayesian Fourier clustering of gene expression data

DOI10.1080/03610918.2016.1206929zbMath1462.62387OpenAlexW2513599137MaRDI QIDQ4638837

Minjung Kyung, Jae-Hee Kim

Publication date: 30 April 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1206929

zbMATH Keywords

Dirichlet processFourier coefficientnormal mixtureyeast cell cyclemodel-based cluster

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data

Uses Software

• ElemStatLearn
• CRCView
• PRMLT

Cites Work

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• Contributions to the theory of Dirichlet processes
• Cluster Analysis
• Bayesian Decision Analysis
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• Clustering Using Objective Functions and Stochastic Search
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Gibbs Sampling Methods for Stick-Breaking Priors
• Bayesian Density Estimation and Inference Using Mixtures
• A Bayesian Mixture Model for Partitioning Gene Expression Data
• CATS