polyClustR: defining communities of reconciled cancer subtypes with biological and prognostic significance

Abstract Background To ensure cancer patients are stratified towards treatments that are optimally beneficial, it is a priority to define robust molecular subtypes using clustering methods applied to high-dimensional biological data. If each of these methods produces different numbers of clusters fo...

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Autors principals:	Katherine Eason, Gift Nyamundanda, Anguraj Sadanandam
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2018-05-01
Col·lecció:	BMC Bioinformatics
Matèries:	Clustering methods Subtype community Reconciliation methods Network analysis Hypergeometric test Breast cancer
Accés en línia:	http://link.springer.com/article/10.1186/s12859-018-2204-4
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