Cancer profiles by affinity propagation
Ambrogi, Federico; Raimondi, Elena; Soria, Daniele; Boracchi, Patrizia; Biganzoli, Elia M.
Elia M. Biganzoli
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.
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|
|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|
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf