Periodicity analysis of DNA microarray gene expression time series profiles in mouse segmentation clock data

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Title Periodicity analysis of DNA microarray gene expression time series profiles in mouse segmentation clock data
Author Vivian, Tsz-Yan Tang; Liew, Alan Wee-Chung; Yan, Hong
Journal Name Statistics and its interface
Year Published 2010
Place of publication United States
Publisher International Press
Abstract With microarray technology, gene expression profiles are produced at a rapid rate. It remains a challenge for biologists to robustly identify periodic gene expression profiles when the time series have short data length and contain a high level of noise. An effective method is proposed in this paper to analyze the periodicity of gene expression time series using singular value decomposition (SVD), singular spectrum analysis (SSA) and autoregressive (AR) model-based spectral estimation. Using these procedures, noise can be filtered out and over 85% of periodic gene expression can be identified in the mouse segmentation clock data set.
Peer Reviewed Yes
Published Yes
Alternative URI http://www.intlpress.com/SII/p/2010/3-3/SII-3-3-a13-Tang.pdf
Volume 3
Issue Number 3
Page from 413
Page to 418
ISSN 1938-7989
Date Accessioned 2011-01-25
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Pattern Recognition and Data Mining
URI http://hdl.handle.net/10072/37622
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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