Classification DNA Sequences of Bacterias using Multi Library Wavelet Networks

ABDESSELEM, DAKHLI and CHOKRI, BEN AMAR and WAJDI, BELLIL (2014) Classification DNA Sequences of Bacterias using Multi Library Wavelet Networks. In: International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2014, 07- 08 June,2014, Rome, Italy.

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Abstract

Genomic sequences allow to classify organisms into different categories and classes which have significant biological knowledge and can justify the evolution and identification of unknown organisms. Also they study mutual relations between organisms. The purpose of this classification is to study living organisms. Our system consists in three phases. The first phase is called transformation wich is composed of three steps; binary codification of DNA sequence, Fourier Transform and Power Spectrum Signal Processing. The second phase is called approximation. This phase is empowered by the use of Multi Library Wavelet Neural Networks (MLWNN).The third phase is called classification wich is realized by applying the algorithm of hierarchical classification. The results of this contribution are more interesting in comparison with some others works, in terms of rate classification using bacteria database.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: — Classification, DNA, wavelet networks, power spectrum, Multi Library Wavelet Neural Networks.
Depositing User: Mr. John Steve
Date Deposited: 21 May 2019 10:53
Last Modified: 21 May 2019 10:53
URI: http://publications.theired.org/id/eprint/2586

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