Identification of sub-classes of breast cancer through consensus derived from automated clustering methods

GREEN, A.R., GARIBALDI, J.M., SORIA, D., AMBROGI, F., BALL, G., LISBOA, P.J.G., ETCHELLS, T.A., BORACCHI, P., BIGANZOLI, E., MACMILLAN, R.D., BLAMEY, R.W. and ELLIS, I.O., 2007. Identification of sub-classes of breast cancer through consensus derived from automated clustering methods. Ejc Supplements, 5 (3), p. 18. ISSN 1359-6349

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Item Type: Journal article
Publication Title: Ejc Supplements
Creators: Green, A.R., Garibaldi, J.M., Soria, D., Ambrogi, F., Ball, G., Lisboa, P.J.G., Etchells, T.A., Boracchi, P., Biganzoli, E., Macmillan, R.D., Blamey, R.W. and Ellis, I.O.
Date: 2007
Volume: 5
Number: 3
ISSN: 1359-6349
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:08
Last Modified: 19 Oct 2015 14:27
URI: http://irep.ntu.ac.uk/id/eprint/8198

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