Article

A Bayesian Two-Way Latent Structure Model for Genomic Data Integration Reveals Few Pan-Genomic Cluster Subtypes in a Breast Cancer Cohort

2018-08-07

Abstract excerpt

<h4>Motivation</h4> Unsupervised clustering is important in disease subtyping, among having other genomic applications. As genomic data has become more multifaceted, how to cluster across data sources for more precise subtyping is an ever more important area of research. Many of the methods proposed so far, including iCluster and Cluster of Cluster Assignments, make an unreasonble assumption of a common clusterin...

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Literature Corpus work: bc5ce490-5537-5be4-8b65-b70b0f83a379
DOI: 10.1101/387076

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