Spectral similarity for analysis of DNA microarray time-series data Online publication date: Thu, 07-Sep-2006
by Hong Yan, Tuan Pham
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 1, No. 2, 2006
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.
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