• DocumentCode
    441999
  • Title

    Reconstruct gene regulatory subnetwork in yeast cell cycle using a novel approach

  • Author

    Jiang, Wei ; Li, Xia ; Wang, Li-Hong ; Rao, Shao-Qi ; Du, Lei

  • Author_Institution
    Dept. of Bioinformatics, Harbin Med. Univ., China
  • Volume
    6
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    3382
  • Abstract
    It is one of the ultimate goals for modern biological research to fully elucidate the intricate interplays and the regulations of the molecular. We have thus developed a unified and powerful approach termed MTdGRN (multiple time-delayed gene regulatory network) to discover the underlying gene regulations that can span any unit(s) of time intervals. A decision tree was used to extract the time-delayed regulations between genes based on the temporal gene expression profiles. We have applied the proposed method to S. cerevisiae cell cycle and have discovered most of the underlying multiple-time delayed regulations that are supported by multiple lines of experiments evidence and the current knowledge on phase characteristics for the cell cycling.
  • Keywords
    biology computing; cellular biophysics; data mining; decision trees; genetics; S. cerevisiae cell cycle; decision tree; multiple time-delayed gene regulatory network; temporal gene expression profile; time-delayed regulation; yeast cell cycle; Bioinformatics; Biological processes; Cardiology; Cells (biology); Decision trees; Delay effects; Diseases; Fungi; Gene expression; Organisms; Decision tree; Gene expression; Gene network; Multiple time-delayed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527526
  • Filename
    1527526