Soria, D, Ambrogi, F, Raimondi, E, Boracchi, P., Garibaldi, J.M., Biganzoli, E (2009) Cancer profiles by affinity propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1 (3). pp. 195-215. ISSN 1755-3210. E-ISSN 1755-3229. (doi:10.1504/IJKESDP.2009.028814) (KAR id:98913)
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Official URL: http://doi/org/10.1504/IJKESDP.2009.028814 |
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-known 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 |
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DOI/Identification number: | 10.1504/IJKESDP.2009.028814 |
Uncontrolled keywords: | affinity propagation; clustering algorithms; breast cancer; cutaneous melanoma; cancer profiles; tumours; biological markers; biomarkers |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Funders: | University of Nottingham (https://ror.org/01ee9ar58) |
Depositing User: | Daniel Soria |
Date Deposited: | 08 Dec 2022 08:48 UTC |
Last Modified: | 05 Nov 2024 13:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/98913 (The current URI for this page, for reference purposes) |
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