Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data

DOI10.5705/ss.202020.0337OpenAlexW3132855944WikidataQ108863167 ScholiaQ108863167MaRDI QIDQ5041336

XiangYu Luo, Qiuyu Wu

Publication date: 13 October 2022

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.08050

zbMATH Keywords

Markov chain Monte Carlomodel-based clusteringnonparametric Bayesmixture of mixturessingle-cell RNA sequencing

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Bayesian Tree-Structured Two-Level Clustering for Nested Data Analysis

Uses Software

• sparcl
• SC3
• pcaReduce
• umap
• DIMM-SC

Cites Work

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• Improved biclustering of microarray data demonstrated through systematic performance tests
• On a class of Bayesian nonparametric estimates: I. Density estimates
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Nonparametric Bayesian multiarmed bandits for single-cell experiment design
• A hierarchical Bayesian model for single-cell clustering using RNA-sequencing data
• Latent nested nonparametric priors (with discussion)
• A Bayesian analysis of some nonparametric problems
• The Nested Dirichlet Process
• Hierarchical Dirichlet Processes
• Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
• The Calculation of Posterior Distributions by Data Augmentation
• Gibbs Sampling Methods for Stick-Breaking Priors
• Batch Effects Correction with Unknown Subtypes
• A Framework for Feature Selection in Clustering
• Bayesian Variable Selection in Clustering High-Dimensional Data