Article

Cluster analysis on high dimensional RNA-seq data with applications to cancer research - An evaluation study

2019-06-18

Abstract excerpt

Clustering of gene expression data is widely used to identify novel subtypes of cancer. Plenty of clustering approaches have been proposed, but there is a lack of knowledge regarding their relative merits and how data characteristics influence the performance. We evaluate how cluster analysis choices affect the performance by studying four publicly available human cancer data sets: breast, brain, kidney and stomac...

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Literature Corpus work: ab798780-e789-5d43-a9df-0bbba9a785cd
DOI: 10.1101/675041

Open publication

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