A quantifier-based fuzzy classification system for breast cancer patients
Objectives:Recent studies of breast cancer data have identified seven distinct clinical phenotypes (groups) using immunohistochemical analysis and a range of different clustering techniques. Consensus between unsupervised classification algorithms has been successfully used to categorise patients in...
| Main Authors: | Soria, Daniele, Garibaldi, Jonathan M., Green, Andrew R., Powe, Desmond G., Nolan, Christopher C., Lemetre, Christophe, Ball, Graham R., Ellis, Ian O. |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2013
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| Online Access: | https://eprints.nottingham.ac.uk/28152/ |
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