Spectral clustering using Nyström approximation for the accurate identification of cancer molecular...
Spectral clustering using Nyström approximation for the accurate identification of cancer molecular subtypes
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Contents
A major challenge in clinical cancer research is the identification of accurate molecular subtype. While unsupervised clustering methods have been applied for class discovery, this clustering method remains a bottleneck in developing accurate method for molecular subtype discovery. In this analysis, we hypothesize that spectral clustering method co...
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Spectral clustering using Nyström approximation for the accurate identification of cancer molecular subtypes
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TN_cdi_doaj_primary_oai_doaj_org_article_04523840f289459abc1d58f99e166de2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_04523840f289459abc1d58f99e166de2
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-017-05275-3
