Novel methods to elucidate core classes in multi-dimensional biomedical data

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Novel methods to elucidate core classes in multi-dimensional biomedical data

Breast cancer, which is the most common cancer in women, is a complex disease characterised by multiple molecular alterations. Current routine clinical management relies on availability of robust clinical and pathologic prognostic and predictive factors, like the Nottingham Prognostic Index, to supp...

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Bibliographic Details
Main Author:	Soria, Daniele
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2010
Subjects:	biosensors breast cancer biomedical data core classes
Online Access:	https://eprints.nottingham.ac.uk/11179/

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