Abstract
Spectral analysis of DNA microarray gene expressions time series data is important for understanding the regulation of gene expression and gene function of the Plasmodium falciparum in the intraerythrocytic developmental cycle. In this paper, we propose a new strategy to analyze the cell cycle regulation of gene expression profiles based on the combination of singular spectrum analysis (SSA) and autoregressive (AR) spectral estimation. Using the SSA, we extract the dominant trend of data and reduce the effect of noise. Based on the AR analysis, high resolution spectra can be produced. Experiment results show that our method can extract more genes and the information can be useful for new drug design.
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© 2006 Springer-Verlag Berlin Heidelberg
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Du, L., Wu, S., Liew, A.WC., Smith, D.K., Yan, H. (2006). Parametric Spectral Analysis of Malaria Gene Expression Time Series Data. In: R. Berthold, M., Glen, R.C., Fischer, I. (eds) Computational Life Sciences II. CompLife 2006. Lecture Notes in Computer Science(), vol 4216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875741_4
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DOI: https://doi.org/10.1007/11875741_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45767-1
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