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Performance comparison of techniques for DNA sequence prediction using neural networks

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3 Author(s)
Alexandra Nikolova ; Department of Computer Systems, Technical University of Sofia, 8 Kliment Ohridski St, 1000, Bulgaria ; Valeri Mladenov ; Georgi Tsenov

The conversion of symbolic sequences into complex genomic signals reveals surprising regularities of genomes, both locally and at a global scale. This approach allows usage of standard signal processing methods for the nucleotide sequences analysis and specifically for the prediction of nucleotides when knowing the preceding ones in a sequence. In this paper we propose variety of methods and ways when using artificial neural networks at its core to efficiently predict the next sample in the genomic sequence.

Published in:

Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on

Date of Conference:

3-5 March 2010