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

Christian Mircean; Ioan Tabus; Jaakko T. Astola

doi:10.1117/12.469436

5 June 2002 Quantization and distance function selecton for discrimination of tumors using gene expression data

Christian Mircean, Ioan Tabus, Jaakko T. Astola

Proceedings Volume 4623, Functional Monitoring and Drug-Tissue Interaction; (2002) https://doi.org/10.1117/12.469436
Event: International Symposium on Biomedical Optics, 2002, San Jose, CA, United States

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.

Citation Download Citation

Christian Mircean, Ioan Tabus, and Jaakko T. Astola "Quantization and distance function selecton for discrimination of tumors using gene expression data", Proc. SPIE 4623, Functional Monitoring and Drug-Tissue Interaction, (5 June 2002); https://doi.org/10.1117/12.469436

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