• DocumentCode
    3394236
  • Title

    Classification of mouse fRNA genes using evolved neural networks

  • Author

    Cheung, Mars ; Fogel, Gary B.

  • Author_Institution
    Natural Selection Inc., San Diego, CA
  • fYear
    2008
  • fDate
    15-17 Sept. 2008
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some classes of fRNAs (especially microRNAs) have short coding regions and do not use classical signals common to protein coding genes. Following on previous experiments to generate pattern recognition models for the identification of fRNA genes using evolved neural networks, here we apply these approaches to the classification of fRNA genes in M. musculus.
  • Keywords
    biology computing; genetics; genomics; macromolecules; molecular biophysics; pattern classification; M. musculus; functional RNA; gene classification; gene regulation; microRNA; mouse fRNA genes; neural networks; pattern recognition model; protein coding genes; Bioinformatics; Cloning; Genomics; Internet; Mice; Neural networks; Pattern recognition; Proteins; RNA; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB '08. IEEE Symposium on
  • Conference_Location
    Sun Valley, ID
  • Print_ISBN
    978-1-4244-1778-0
  • Electronic_ISBN
    978-1-4244-1779-7
  • Type

    conf

  • DOI
    10.1109/CIBCB.2008.4675753
  • Filename
    4675753