Bayesian bi-clustering methods with applications in computational biology

DOI10.1214/22-AOAS1622zbMath1498.62128arXiv2007.06136MaRDI QIDQ2080793

Yanyan Li

Publication date: 10 October 2022

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

Full work available at URL: https://arxiv.org/abs/2007.06136

zbMATH Keywords

geneticsmodel selectionclusteringhigh dimensionalityvariable selectioncategorical databi-clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Uses Software

• PLINK
• STRUCTURE
• VarSelLCM
• FABIA
• SC3

Cites Work

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• Bayesian Variable Selection in Clustering High-Dimensional Data
• Variable Selection for Model-Based Clustering
• Estimation and selection for the latent block model on categorical data
• Model-based subspace clustering

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