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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| 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 |