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

BACKGROUND: 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 ana...

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Detalles Bibliográficos
Autores principales:	Vidman, Linda, Källberg, David, Rydén, Patrik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894875/ https://www.ncbi.nlm.nih.gov/pubmed/31805048 http://dx.doi.org/10.1371/journal.pone.0219102

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