Wavelet-Based Feature Extraction for Microarray Data Classification
Published in The 2006 IEEE International Joint Conference on Neural Network Proceedings • Jan 1, 2006
NobleIDNI1P38W50R05S34
Authors:,,
Shutao Li
Chen Liao
James T. Kwok
Abstract
Microarray data typically have thousands of genes, and thus feature extraction is a critical problem for accurate cancer classification. In this paper, a feature extraction method based on the discrete wavelet transform (DWT) is proposed. The approximation coefficients of DWT, together with some use...
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