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Cancer profiles by affinity propagation

Ambrogi, Federico; Raimondi, Elena; Soria, Daniele; Boracchi, Patrizia; Biganzoli, Elia M.

Authors

Federico Ambrogi

Elena Raimondi

Daniele Soria

Patrizia Boracchi

Elia M. Biganzoli



Abstract

The affinity propagation algorithm is applied to a problem of breast cancer subtyping using traditional biologic markers. The algorithm provides a procedure to determine the number of profiles to be considered.

A well know breast cancer case series was 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

Ambrogi, F., Raimondi, E., Soria, D., Boracchi, P., & Biganzoli, E. M. (2008). Cancer profiles by affinity propagation

Conference Name Seventh International Conference on Machine Learning and Applications, 2008. ICMLA'08.
End Date Dec 13, 2008
Publication Date Jan 1, 2008
Deposit Date Feb 25, 2015
Publicly Available Date Feb 25, 2015
Peer Reviewed Peer Reviewed
Public URL http://eprints.nottingham.ac.uk/id/eprint/28142
Publisher URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4725044
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information Published in: Seventh International Conference on Machine Learning and Applications, 2008. ICMLA'08. Los Alamitos, Calif. : IEEE, 2008, ISBN 978-0-7695-3495-4, pp. 650-655, doi: 10.1109/ICMLA.2008.110

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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