A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients
Single clustering methods have often been used to elucidate clusters in high dimensional medical data, even though reliance on a single algorithm is known to be problematic. In this paper, we present a methodology to determine a set of ‘core classes’ by using a range of techniques to reach consensus...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2010
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| Online Access: | http://eprints.nottingham.ac.uk/28133/ http://eprints.nottingham.ac.uk/28133/ http://eprints.nottingham.ac.uk/28133/ http://eprints.nottingham.ac.uk/28133/1/soria2010a.pdf |
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