5 June 2002 Quantization and distance function selecton for discrimination of tumors using gene expression data
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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.
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Christian Mircean, Christian Mircean, Ioan Tabus, Ioan Tabus, Jaakko T. Astola, 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); doi: 10.1117/12.469436; https://doi.org/10.1117/12.469436
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