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

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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
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:08
Last Modified:	09 Jun 2017 13:19
URI:	https://irep.ntu.ac.uk/id/eprint/8198