• DocumentCode
    1576620
  • Title

    Multifractal Analysis of Genomic Sequences CGR Images

  • Author

    Fu, Weijuan ; Wang, Yuanyuan ; Lu, Daru

  • Author_Institution
    Dept. of Electron. Eng., Fudan Univ., Shanghai
  • fYear
    2006
  • Firstpage
    4783
  • Lastpage
    4786
  • Abstract
    To describe the fractal feature of chaos game representation (CGR) images of genomic sequences, a multifractal theory is presented in the analysis. With the probability set of CGR images, the general dimension spectrum and the multifractal spectrum are calculated and compared between two sample groups of gene thick sequences and gene black sequences. The experimental result shows that the probability set composed of the relative probability has the best scale-invariance performance. The scale invariance has different variance regions, which indicates genomic sequence segments with different lengths have different distribution rules. It is also shown that the sequences´ spectra for two groups are different, specially the attenuation index and value range of the general dimension spectrum, and the width of the multifractal spectrum. It is concluded that the mutifractal analysis and its parameters may be useful to analyze sequences´s statistic property and recognize gene sequence
  • Keywords
    fractals; genetics; molecular biophysics; molecular configurations; probability; statistical analysis; CGR images; attenuation index; chaos game representation; gene black sequences; gene thick sequences; general dimension spectrum; genomic sequences; multifractal analysis; multifractal spectrum; relative probability; scale invariance; Attenuation; Bioinformatics; Chaos; Fractals; Game theory; Genomics; Image analysis; Image sequence analysis; Probability; Statistical analysis; CGR image; general dimension spectrum; genomic sequence; multifractal spectrum; multifractal theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615541
  • Filename
    1615541