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