Feature extraction from DNA sequences by multifractal analysis

Author

Zhang, H. ; Kinsner, W.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

2

fYear

2001

fDate

2001

Firstpage

1567

Abstract

This paper presents feature extraction and estimation of multifractal measures of DNA sequences, using a multifractal methodology, and demonstrates a new scheme for identifying biological functionality, using information contained within the DNA sequences. It shows that the Renyi and Mandelbrot fractal dimension spectra may be useful techniques for extracting the information contained in the DNA sequences.

Keywords

DNA; biological techniques; feature extraction; fractals; genetics; molecular biophysics; molecular configurations; random processes; sequences; set theory; white noise; Cantor sequence; Cantor set property; DNA sequences; Human Genome Project; Mandelbrot fractal dimension spectra; Renyi fractal dimension spectra; alphabet sequence; biological functionality; decoding sequence; feature extraction; human codon usage; multifractal measures; numerical signal sequence; open reading frame; power spectrum density; random sequence; transcription; transform matrix; translation; uneven codon usage; uniform white noise; Amino acids; Bioinformatics; DNA; Feature extraction; Fractals; Genomics; Humans; Organisms; Proteins; Sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020510

Filename

1020510