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Advances in Bioinformatics
Volume 2013 (2013), Article ID 171530, 10 pages
Research Article

Spectral Analysis on Time-Course Expression Data: Detecting Periodic Genes Using a Real-Valued Iterative Adaptive Approach

1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA
2Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004-2101, USA

Received 26 October 2012; Accepted 23 January 2013

Academic Editor: Mohamed Nounou

Copyright © 2013 Kwadwo S. Agyepong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Figure s1: demonstrates the simulation results considering multiple periodic signals. Two sinusoidal waves with different frequency settings are superimposed as the periodic signal, and RIAA, LS, and DLS are applied for comparison.

  1. Supplementary Figure