Integrative model-based clustering of microarray methylation and expression data

DOI10.1214/11-AOAS533zbMath1254.62113arXiv1210.0702OpenAlexW2035669074MaRDI QIDQ714386

James G. Booth, Matthias Kormaksson, Maria E. Figueroa, Ari Melnick

Publication date: 21 October 2012

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

Full work available at URL: https://arxiv.org/abs/1210.0702

zbMATH Keywords

EM algorithmmixture modelsmicroarray dataexpressionAMLmethylation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items

Integrative model-based clustering of microarray methylation and expression data, Nonlinear joint latent variable models and integrative tumor subtype discovery

Uses Software

• COSA
• AutoClass

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Integrative model-based clustering of microarray methylation and expression data
• A new algorithm for hybrid hierarchical clustering with visualization and the bootstrap
• Variable selection in clustering via Dirichlet process mixture models
• Identification of Differentially Expressed Genes in High-Density Oligonucleotide Arrays Accounting for the Quantification Limits of the Technology
• Clustering Criteria and Multivariate Normal Mixtures
• Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model
• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
• Model-Based Gaussian and Non-Gaussian Clustering
• Bayesian Models for Gene Expression With DNA Microarray Data
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Clustering Objects on Subsets of Attributes (with Discussion)
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
• Bayesian Variable Selection in Clustering High-Dimensional Data
• A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes