Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data
type: Item
instance of: scholarly article
title: Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data
zbMATH Open document ID: 1416.62615
author: Xianqiang Yang
published in: Journal of the Korean Statistical Society
publication date: 2019-04-30T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7049048
zbMATH Keywords: temporal cyclic gene expression profiles
zbMATH Keywords: Dirichlet process mixture
zbMATH Keywords: Fourier series
zbMATH Keywords: variable selection
zbMATH Keywords: label-switching
zbMATH Keywords: adjusted rand index
describes a project that uses: fda (R)
describes a project that uses: SemiPar
describes a project that uses: mclust
MaRDI profile type: Publication
full work available at URL: j.jkss.2018.11.002
OpenAlex ID: W2905088238
cites work: Clustering time-course microarray data using functional Bayesian infinite mixture model
cites work: Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
cites work: Bayesian cluster analysis
cites work: Multivariate Bayesian Variable Selection and Prediction
cites work: Model uncertainty
cites work: Posterior simulation across nonparametric models for functional clustering
cites work: Bayesian Density Estimation and Inference Using Mixtures
cites work: A Bayesian analysis of some nonparametric problems
cites work: Prior distributions on spaces of probability measures
cites work: Model-Based Clustering, Discriminant Analysis, and Density Estimation
cites work: Improved criteria for clustering based on the posterior similarity matrix
cites work: Calibration and empirical Bayes variable selection
cites work: Q4344410
cites work: Spike and slab variable selection: frequentist and Bayesian strategies
cites work: Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
cites work: Bayesian Fourier clustering of gene expression data
cites work: Sparse Bayesian hierarchical modeling of high-dimensional clustering problems
cites work: Model-based clustering based on sparse finite Gaussian mixtures
cites work: Bayesian Variable Selection in Linear Regression
cites work: The Dirichlet labeling process for clustering functional data
cites work: Functional data analysis.
cites work: Functional Clustering by Bayesian Wavelet Methods
cites work: Q4363930
cites work: Semiparametric Regression
cites work: Bayesian clustering of functional data using local features
cites work: Enriched Stick-Breaking Processes for Functional Data
cites work: Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models
cites work: Q4839399
cites work: Dealing With Label Switching in Mixture Models
cites work: A majorization-minimization approach to variable selection using spike and slab priors
DOI: 10.1016/J.JKSS.2018.11.002
description: scientific article; zbMATH DE number 7049048