• DocumentCode
    1987403
  • Title

    Statistical resynchronization and detection of periodic transcripts

  • Author

    Lu, Xin ; Zhang, Wen ; Qin, Zhaohui S. ; Liu, Jun S.

  • Author_Institution
    Dept. of Stat., Harvard Univ., Cambridge, MA, USA
  • fYear
    2003
  • fDate
    11-14 Aug. 2003
  • Firstpage
    394
  • Lastpage
    395
  • Abstract
    A periodic-normal mixture (PNM) model is proposed to fit the yeast cell cycle data of Cho et al. and Spellmen et al. and to resynchronize the transcription profiles of cell-cycle related genes. Subsequently a two-component beta mixture model is used to approximate the distribution of the PNM model fitting residues so as to compute the posterior probability for each gene to be cell-cycle related. Our result suggested that ∼32% genes in yeast genome are likely to be periodically expressed, among which 822 genes met our stringent criterion. Of the 822 genes, 282 are absent from the list of 800 genes reported by Spellman et al., including many known important cell-cycle related functional genes. Phase matching of the 822 resynchronized expression profiles implied that the three synchronization methods might have brought cells to the same phase at the time of release.
  • Keywords
    cellular biophysics; genetics; microorganisms; normal distribution; physiological models; synchronisation; cell-cycle related genes; periodic transcripts; periodic-normal mixture model; phasematching; posterior probability; statistical resynchronization; two-component beta mixture model; yeast genome; Bioinformatics; Biological system modeling; Cells (biology); Computational biology; Digital TV; Distributed computing; Fungi; Genomics; Maximum likelihood estimation; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7695-2000-6
  • Type

    conf

  • DOI
    10.1109/CSB.2003.1227342
  • Filename
    1227342