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Protein sequence for clustering DNA based on Artificial Neural Networks
Faculty
Science
Year:
2012
Type of Publication:
ZU Hosted
Pages:
Authors:
Roshdy Mohamed Farouk AbdulHameed
Staff Zu Site
Abstract In Staff Site
Journal:
International Journal of Computer Science Issues International Journal of Computer Science Issues
Volume:
Keywords :
Protein sequence , clustering , based , Artificial Neural
Abstract:
DNA is a nucleic acid that contains the genetic instructions used in the development and functioning of all known living organisms and some viruses. Clustering is a process that groups a set of objects into clusters so that the similarity among objects in the same cluster is high, while that among the objects in different clusters is low. In this paper, we proposed an approach for clustering DNA sequences using Self-Organizing Map (SOM) algorithm and Protein Sequence. The main objective is to analyze biological data and to bunch DNA to
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Roshdy Mohamed Farouk AbdulHameed, "Analytical analysis of image representation by their discrete wavelet transform", International Journal of Computer Science, 2008
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Roshdy Mohamed Farouk AbdulHameed, "Ultrasonic digital signal processing simulation in viscoelastic medium with generalized parametric function", Springer, 2012
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Khaled Lotfy Mohamed Azab, "A Mode-I crack problem for two-dimensional problem of a fiber-reinforced thermoelastic with normal mode analysis", ISSN 1992-1950 © 2013 Academic Journals, 2013
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