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Proceedings Paper

Quantization and distance function selecton for discrimination of tumors using gene expression data
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Paper Abstract

This paper compares several discrimination methods for the classification of tumors using gene expression data. We introduce variations of known classification methods, and compare the effects of quantizing the data prior to applying various methods, and also discuss the selection of the distance function. The error rates obtained with the new methods are shown to be smaller than those reported in recently published studies.

Paper Details

Date Published: 5 June 2002
PDF: 12 pages
Proc. SPIE 4623, Functional Monitoring and Drug-Tissue Interaction, (5 June 2002); doi: 10.1117/12.469436
Show Author Affiliations
Christian Mircean, Tampere Univ. of Technology (Finland)
Ioan Tabus, Tampere Univ. of Technology (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 4623:
Functional Monitoring and Drug-Tissue Interaction
Manfred D. Kessler; Gerhard J. Mueller, Editor(s)

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