A methodology to identify consensus classes from clustering...

Computers in Biology and Medicine 2010 Vol. 40; Iss. 3

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients

Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des Powe, Emad Rakha, R. Douglas Macmillan, Roger W. Blamey, Graham Ball, Paulo J.G. Lisboa, Terence A. Etchells, Patrizia Bora
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Volume:
40
Year:
2010
Language:
english
Pages:
13
DOI:
10.1016/j.compbiomed.2010.01.003
File:
PDF, 1.00 MB
english, 2010
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