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. ORCID: 0000-0001-5828-7129, 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: 09 Jun 2017 13:19
URI: http://irep.ntu.ac.uk/id/eprint/8198

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