Efficient matching and retrieval of gene expression time series data based on spectral information

Authors:
Hong Yan
Affiliations:
Department of Computer Engineering, and Information Technology, City University of Hong Kong, Kowloon, Hong Kong
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Year:
2005

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Abstract

In this paper, we propose an efficient method based on spectral analysis for matching and retrieval of gene expression time series data. In this technique, we decompose a gene expression time series into a set of spectral components. The spectral parameters can then be used to compute the correlation between the expression data for a pair of genes using a closed-form mathematical equation. This method provides a reliable similarity metric for the comparison of gene expression data and can be used for efficient data retrieval.