Article

Model-Based Feature Selection and Clustering of Rna-Seq Data for Unsupervised Subtype Discovery

2020-05-25

Abstract excerpt

Clustering is a form of unsupervised learning that aims to un-cover latent groups within data based on similarity across a set of features. A common application of this in biomedical research is in delineating novel cancer subtypes from patient gene expression data, given a set of informative genes. However, it is typically unknown a priori what genes may be informative in discriminating between clusters, and wha...

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Literature Corpus work: fd6ddb99-d2ec-55df-ae1d-6983947a2a0b
DOI: 10.1101/2020.05.23.111799

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