• DocumentCode
    667272
  • Title

    Feature identification and reduction for improved generalization accuracy in secondary-structure prediction

  • Author

    Seeley, Matt ; Clement, M. ; Snell, Quinn

  • Author_Institution
    Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Secondary structure prediction is an important step in understanding gene function. Several algorithms have been proposed for applying machine learning techniques to this problem. This research examines these algorithms and constructs a framework that is effective in providing accurate predictions.
  • Keywords
    bioinformatics; data analysis; feature extraction; generalisation (artificial intelligence); genetics; learning (artificial intelligence); proteins; feature identification; feature reduction; gene function understanding; generalization accuracy; machine learning technique; secondary-structure prediction; Accuracy; Amino acids; Measurement; Neural networks; Prediction algorithms; Predictive models; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
  • Conference_Location
    Chania
  • Type

    conf

  • DOI
    10.1109/BIBE.2013.6701610
  • Filename
    6701610
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=667272