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Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Boracchi, Patrizia, Raimondi, E. and Biganzoli, Elia M. (2009) Cancer profiles by Affinity Propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1 (3). pp. 195-215. ISSN 1755-3210

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Abstract

The Affinity Propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure to determine the number of profiles to be considered. Well know breast cancer case series and cutaneous melanoma were used to compare the results of the Affinity Propagation with the results obtained with standard algorithms and indexes for the optimal choice of the number of clusters.Results from Affinity Propagation are consistent with the results already obtained having the advantage of providing an indication about the number of clusters.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/1014831
Additional Information:	Copyright InderScience Publishers.
Keywords:	affinity propagation, clustering algorithms, breast cancer, cutaneous melanoma, cancer profiles, tumours, biological markers, biomarkers
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:	https://doi.org/10.1504/IJKESDP.2009.028814
Depositing User:	Soria, Dr Daniele
Date Deposited:	30 Jan 2015 11:47
Last Modified:	04 May 2020 20:27
URI:	https://eprints.nottingham.ac.uk/id/eprint/28138

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