"A methodology to identify consensus classes from clustering algorithms ..."

Daniele Soria et al. (2010)

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DOI: 10.1016/J.COMPBIOMED.2010.01.003

access: closed

type: Journal Article

metadata version: 2020-09-02

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Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des Powe, Emad A. Rakha, R. Douglas Macmillan, Roger W. Blamey, Graham R. Ball, Paulo J. G. Lisboa, Terence A. Etchells, Patrizia Boracchi, Elia Biganzoli, Ian O. Ellis:
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40(3): 318-330 (2010)

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