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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-05-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-018-2204-4 |