Autors: Tsenov, G. T., Nikolova, A., Mladenov, V. M.
Title: Performance comparison of techniques for DNA sequence prediction using neural networks
Keywords: DNA , Sequences , Neural networks

Abstract: 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.

References

    Issue

    Proceedings of 4th IEEE INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS CONTROL & Committees SIGNAL PROCESSING, pp. 1-5, 2010, Greece, DOI: 10.1109/ISCCSP.2010.5463296

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus