• DocumentCode
    3406257
  • Title

    Identifying drosophila cell-cycle regulated genes from irregular microarray data

  • Author

    Zhao, Wentao ; Agyepong, Kwadwo ; Serpedin, Erchin ; Dougherty, Edward R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    633
  • Lastpage
    636
  • Abstract
    Due to experimental constraints, most microarray observations are obtained through irregular sampling. In this paper three popular spectral analyzing schemes, i.e., Lomb-Scargle, Capon and the missing data amplitude and phase estimation (MAPES), are compared in terms of their ability and efficiency to recover the periodically expressed genes. The in silico experiments based on microarray measurements of drosophila melanogaster not only verify half of the published cell-cycle genes, but also corroborate genes that behave periodically in human Hela time series experiments.
  • Keywords
    cellular biophysics; medical signal detection; phase estimation; signal sampling; spectral analysis; time series; Capon scheme; Lomb-Scargle scheme; drosophila cell-cycle regulated genes; drosophila melanogaster; human Hela time series; irregular microarray data; microarray measurements; missing data amplitude and phase estimation; periodically expressed genes; spectral analysis; Bioinformatics; Diseases; Frequency; Genomics; Humans; Noise robustness; Phase estimation; Sampling methods; Spectral analysis; Stochastic resonance; Biological Systems; Genetics; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517689
  • Filename
    4517689