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Cancer profiles by Affinity Propagation

Soria, Daniele; Garibaldi, Jonathan M.; Ambrogi, Federico; Boracchi, Patrizia; Raimondi, E.; Biganzoli, Elia M.

Authors

Daniele Soria

Jonathan M. Garibaldi

Federico Ambrogi

Patrizia Boracchi

E. Raimondi

Elia M. Biganzoli



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.

Citation

Soria, D., Garibaldi, J. M., Ambrogi, F., Boracchi, P., Raimondi, E., & Biganzoli, E. M. (2009). Cancer profiles by Affinity Propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1(3), https://doi.org/10.1504/IJKESDP.2009.028814

Journal Article Type Article
Publication Date Jan 1, 2009
Deposit Date Jan 30, 2015
Publicly Available Date Jan 30, 2015
Journal International Journal of Knowledge Engineering and Soft Data Paradigms
Print ISSN 1755-3210
Electronic ISSN 1755-3210
Publisher Inderscience
Peer Reviewed Peer Reviewed
Volume 1
Issue 3
DOI https://doi.org/10.1504/IJKESDP.2009.028814
Keywords affinity propagation, clustering algorithms, breast cancer, cutaneous melanoma, cancer profiles, tumours, biological markers, biomarkers
Public URL https://nottingham-repository.worktribe.com/output/1014831
Publisher URL http://www.inderscience.com/info/inarticle.php?artid=28814
Additional Information Copyright InderScience Publishers.

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