Spectral similarity for analysis of DNA microarray time-series data

Authors:
Hong Yan;Tuan Pham
Affiliations:
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, Au ...;Bioinformatics Applications Research Centre, School of Information Technology, James Cook University, Townsville, QLD 4811, Australia
Venue:
International Journal of Data Mining and Bioinformatics
Year:
2006

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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.