Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020510
