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- W1967132902 abstract "This paper presents estimations of multi-scale (multi-fractal) measures for feature extraction from deoxyribonucleic acid (DNA) sequences, and demonstrates the intriguing possibility of identifying biological functionality using information contained within the DNA sequence. We have developed a technique that seeks patterns or correlations in the DNA sequence at a higher level than the local base-pair structure. The technique has three main steps: (i) transforms the DNA sequence symbols into a modified Lévy walk, (ii) transforms the Lévy walk into a signal spectrum, and (iii) breaks the spectrum into sub-spectra and treats each of these as an attractor from which the multi-fractal dimension spectrum is estimated. An optimal minimum window size and volume element size are found for estimation of the multi-fractal measures. Experimental results show that DNA is multi-fractal, and that the multi-fractality changes depending upon the location (coding or non-coding region) in the sequence." @default.
- W1967132902 created "2016-06-24" @default.
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- W1967132902 date "2010-04-01" @default.
- W1967132902 modified "2023-09-26" @default.
- W1967132902 title "Multi-Fractal Analysis for Feature Extraction from DNA Sequences" @default.
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- W1967132902 doi "https://doi.org/10.4018/jssci.2010040101" @default.
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