• DocumentCode
    3406136
  • Title

    More powerful discriminants for classifying phylogenetic signals in dinucleotide frequencies

  • Author

    Baran, Robert H. ; Jeon, Changwon ; Han, David K. ; Ko, Hanseok

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Korea Univ., Seoul
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    605
  • Lastpage
    608
  • Abstract
    Microbial DNA fragments are classified according to species using compositional features and "genomic signatures" the oldest of which is the dinucleotide relative abundance profile defined by Karlin et al. More informative features, including higher order signatures, have demonstrated greater species-specificity in comparison to the baseline established by the dinucleotide signature using "delta-distance" to assess dissimilarity; but lack of standard methods has precluded rigorous comparison. We describe a new method for classifier evaluation that reduces any number of pair-wise inter-genomic comparisons to a single performance measure. To illustrate the method, we compare delta-distance to quadratic and linear discriminants prescribed by elementary pattern recognition theory, and find that the quadratic form is significantly more powerful.
  • Keywords
    DNA; genetics; medical signal processing; pattern recognition; signal classification; biomedical signal processing; compositional features; delta-distance; dinucleotide frequencies; dinucleotide relative abundance profile; dinucleotide signature; elementary pattern recognition theory; genomic signatures; higher order signatures; microbial DNA fragment classification; pair-wise inter-genomic comparisons; phylogenetic signal classification; quadratic form; Bioinformatics; Biomedical measurements; DNA; Detectors; Frequency; Genomics; Pattern classification; Phylogeny; Power engineering computing; Sequences; Biomedical signal processing; DNA; Error analysis; Pattern classification; Software performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517682
  • Filename
    4517682