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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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 Type:||Article (Refereed Research - C1)|
|Keywords:||pattern classification; microarray; signal processing|
|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%
|Deposited On:||17 Nov 2009 14:38|
|Last Modified:||25 May 2013 00:37|
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|Citation Counts with External Providers:||Web of Science: 5|
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