• DocumentCode
    1987491
  • Title

    Estimating recombination rate distribution by optimal quantization

  • Author

    Song, Mingzhou ; Boissinot, Stephane ; Haralick, Robert M. ; Phillips, Ihsin T.

  • Author_Institution
    Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
  • fYear
    2003
  • fDate
    11-14 Aug. 2003
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    We obtain recombination rate distribution functions for all human chromosomes using an optimal quantization method. This nonparametric method allows us to control over-/under-fitting. The piece-wise constant recombination rate distribution functions are convenient to store and retrieve. Our experimental results showed more abrupt distribution functions than two recently published results. In the previous results, the over-/under-fitting issues were not addressed explicitly. Our estimation had greater log likelihood over a previous result using Parzen window. It suggests that the optimal quantization technique might be of great advantage for estimation of other genomic feature distributions.
  • Keywords
    cellular biophysics; genetics; maximum likelihood estimation; piecewise constant techniques; quantisation (signal); statistical distributions; Parzen window; estimation; genomic feature distributions; human chromosomes; nonparametric method; optimal quantization; over-fitting; piece-wise constant; recombination rate distribution; under-fitting; Bioinformatics; Biological cells; Biology; Computer science; Distribution functions; Educational institutions; Evolution (biology); Genomics; Humans; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7695-2000-6
  • Type

    conf

  • DOI
    10.1109/CSB.2003.1227346
  • Filename
    1227346