• DocumentCode
    2528163
  • Title

    Identifying local gene expression patterns in biomolecular networks

  • Author

    Sivachenko, A.Y. ; Yuryev, A. ; Daraselia, N. ; Mazo, I.

  • Author_Institution
    Ariadne Genomics, Inc.,, Rockville, MD, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    180
  • Lastpage
    181
  • Abstract
    This study is aimed at elucidating putative transcription regulators (TRs) responsible for the observed differential expression pattern. Combined direct promoter binding and indirect transcriptional regulation networks were used, and the expression levels of each TR´s downstream targets were collectively analyzed, as a sample, for significance. Statistical procedure was also developed that takes into account the sign of the expression change, thus requiring the downstream targets to exhibit expression pattern consistent with the regulatory relationship effect signs.
  • Keywords
    biology computing; genetics; molecular biophysics; statistical analysis; biomolecular network; direct promoter binding; gene expression pattern; indirect transcriptional regulation network; statistical model; Bioinformatics; Gene expression; Genomics; Intelligent networks; Large-scale systems; Noise level; Performance analysis; Regulators; Sampling methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.72
  • Filename
    1540590