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

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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Bibliographic Details
Main Authors: Katherine Eason, Gift Nyamundanda, Anguraj Sadanandam
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Bioinformatics
Subjects:
Clustering methods
Subtype community
Reconciliation methods
Network analysis
Hypergeometric test
Breast cancer
Online Access:http://link.springer.com/article/10.1186/s12859-018-2204-4

Internet

http://link.springer.com/article/10.1186/s12859-018-2204-4

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