Authors: Hong Yan, Tuan Pham
Addresses: Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China; School of Electrical and Information Engineering, University of Sydney, NSW 2006, Australia. ' Bioinformatics Applications Research Centre, School of Information Technology, James Cook University, Townsville, QLD 4811, Australia
Abstract: This paper proposes a new similarity measurement for comparison and analysis of DNA microarray time-series data. In this method, a gene expression time series is decomposed into frequency components and the correlation between the data from a pair of genes is measured in the frequency domain. The method effectively solves the phase delay problem and provides a more accurate metric for microarray time-series classification.
Keywords: DNA microarrays; correlation; gene expression time series analysis; spectral similarity; microarray time series classification; bioinformatics; gene expression data.
International Journal of Data Mining and Bioinformatics, 2006 Vol.1 No.2, pp.150 - 161
Available online: 07 Sep 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article