Bayesian clustering of replicated time-course gene expression data with weak signals

DOI10.1214/13-aoas650zbMath1283.62050arXiv1210.5029OpenAlexW3103012040WikidataQ61442418 ScholiaQ61442418MaRDI QIDQ156467

Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray, Simon Tavaré, Sarah J. Bray, Steven Russell, Simon Tavaré, Audrey Qiuyan Fu

Publication date: 1 September 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1210.5029

zbMATH Keywords

time seriesrandom effectsDirichlet processmultivariate analysismixture modelMCMCChinese restaurant processlabel switchingMarkov-chain Monte Carlomicroarray gene expression

Mathematics Subject Classification ID

Related Items (2)

Bayesian clustering of replicated time-course gene expression data with weak signals ⋮ DIRECT

Uses Software

• mclust
• R
• CRAN
• DIRECT

Cites Work

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• Optimum consumption and portfolio rules in a continuous-time model
• Bayesian clustering of replicated time-course gene expression data with weak signals
• Slice sampling mixture models
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
• Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
• A Bayesian analysis of some nonparametric problems
• Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments
• Sampling the Dirichlet Mixture Model with Slices
• Bayesian Nonparametrics
• Model‐based clustering of longitudinal data
• Clustering Using Objective Functions and Stochastic Search
• Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Dealing With Label Switching in Mixture Models
• Bayesian Density Estimation and Inference Using Mixtures
• Bayesian Modeling of MPSS Data: Gene Expression Analysis of BovineSalmonellaInfection
• A Bayesian Mixture Model for Partitioning Gene Expression Data
• A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes
• Splitting and merging components of a nonconjugate Dirichlet process mixture model

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