Clustering Gene Expression Data using a Posterior Split-Merge-Birth Procedure

DOI10.1111/j.1467-9469.2011.00765.xzbMath1323.60097OpenAlexW1555962320MaRDI QIDQ2914942

Erlandson F. Saraiva, Luis Aparecido Milan

Publication date: 21 September 2012

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2011.00765.x

zbMATH Keywords

mixture modelMetropolis-Hastingsgene expressionsplit-merge update

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Group preferences (91B10) Random measures (60G57) Genetics and epigenetics (92D10)

Related Items (4)

A generalized mixture model applied to diabetes incidence data ⋮ Sparse Markov Chains for Sequence Data ⋮ A data-driven reversible jump for estimating a finite mixture of regression models ⋮ Partitioning gene expression data by data-driven Markov chain Monte Carlo

Cites Work

• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Estimating the dimension of a model
• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
• Markov chains for exploring posterior distributions. (With discussion)
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• A Bayesian analysis of some nonparametric problems
• Variable selection in clustering via Dirichlet process mixture models
• A New Convex Hull Algorithm for Planar Sets
• Sequential importance sampling for nonparametric Bayes models: The next generation
• Estimating Normal Means with a Dirichlet Process Prior
• Dealing With Label Switching in Mixture Models
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
• Estimating normal means with a conjugate style dirichlet process prior
• Bayesian Density Estimation and Inference Using Mixtures
• Splitting and merging components of a nonconjugate Dirichlet process mixture model
• Unnamed Item
• Unnamed Item

This page was built for publication: Clustering Gene Expression Data using a Posterior Split-Merge-Birth Procedure