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Periodicity Identification of Microarray Time Series Data based on Spectral Analysis

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4 Author(s)
Miew Keen Choong ; School of Electrical and Information, Sydney University, NSW 2006, Australia. phone: 02-9351-5341; e-mail: miewkeen@ee.usyd.edu.au ; Kong Chen Lye ; David Levy ; Hong Yan

In this paper, we propose spectral analysis method to identify periodically expressed genes in microarray data using a forward and backward linear prediction (FBLP) model and the singular value decomposition (SVD) (FBLP-SVD) algorithm. The spectrum-mean-subtraction method is employed prior to this analysis as a pre-filtering procedure. The combination of the spectrum-mean-subtraction and FBLP-SVD algorithm offers a effective tool for periodicity identification. Using our technique, more genes have been successful identified as periodic genes in the genome of Saccharomyces cerevisiae.

Published in:

2006 IEEE International Conference on Systems, Man and Cybernetics  (Volume:2 )

Date of Conference:

8-11 Oct. 2006