Nonlinear joint latent variable models and integrative tumor subtype discovery

DOI10.1002/sam.11306OpenAlexW2573818456WikidataQ49478791 ScholiaQ49478791MaRDI QIDQ4970186

Wei Pan, Xiaotong Shen, Binghui Liu

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5761081

zbMATH Keywords

latent variable modelsGTMintegrative clusteringtumor subtypes

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• AS 136
• iBAG
• GTM

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Integrative model-based clustering of microarray methylation and expression data
• Principal component analysis.
• Sparse integrative clustering of multiple omics data sets
• Nonparametric Estimation from Incomplete Observations
• More powerful genetic association testing via a new statistical framework for integrative genomics

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