Spectral pattern comparison methods for cancer classification based on microarray gene expression data

Pham, Tuan, Beck, Dominik, and Yan, Hong (2006) Spectral pattern comparison methods for cancer classification based on microarray gene expression data. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 53 (11). pp. 2425-2430.

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Abstract

We present, in this paper, two spectral pattern comparison methods for cancer classification using microarray gene expression data. The proposed methods are different from other current classifiers in the ways features are selected and pattern similarities measured. In addition, these spectral methods do not require any data preprocessing which is necessary for many other classification techniques. Experimental results using three popular microarray data sets demonstrate the robustness and effectiveness of the spectral pattern classifiers.

Item ID: 3967
Item Type: Article (Research - C1)
ISSN: 1558-0806
Keywords: pattern classification; microarray; signal processing
Date Deposited: 17 Nov 2009 04:38
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 34%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 33%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 33%
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