2005 | OriginalPaper | Buchkapitel
Efficient Matching and Retrieval of Gene Expression Time Series Data Based on Spectral Information
verfasst von : Hong Yan
Erschienen in: Computational Science and Its Applications – ICCSA 2005
Verlag: Springer Berlin Heidelberg
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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.