• DocumentCode
    260872
  • Title

    Ensemble algorithms for DNA motif finding

  • Author

    Juho Kim ; Seunghak Yu ; Sungroh Yoon

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    15-18 Jan. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Understanding the regulation of gene expression is one of the major research problems in biology. An important part of this problem is to identify the binding sites in DNA for transcription factors. These binding sites are called motifs. The performance of de novo motif discovery algorithms is limited. To address the issue, ensemble methods have been proposed in order to enhance the prediction accuracy by exploiting the information obtained from multiple algorithms. This paper reviews the latest developments of integrated algorithms in DNA motif finding.
  • Keywords
    DNA; genetics; molecular biophysics; DNA binding sites; DNA motif finding; de novo motif discovery algorithms; gene expression; integrated algorithms; transcription factors; Bioinformatics; Boosting; Clustering algorithms; DNA; Educational institutions; Prediction algorithms; bioinformatics; computational biology; ensemble algorithms; integrated algorithms; motifs finding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Information and Communications (ICEIC), 2014 International Conference on
  • Conference_Location
    Kota Kinabalu
  • Type

    conf

  • DOI
    10.1109/ELINFOCOM.2014.6914361
  • Filename
    6914361