Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts
Recent studies in breast cancer domains have identified seven distinct clinical phenotypes (groups) using immunohistochemical analysis and a variety of unsupervised learning techniques. Consensus among the clustering algorithms has been used to categorise patients into these specific groups, but oft...
| Main Authors: | Soria, Daniele, Garibaldi, Jonathan M. |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/40536/ |
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