Детайли за публикацията
(Publication details)

Autors: CRISTEA,P., TUDUCE,R., MLADENOV, V. M., TSENOV, G. T., PETRAKIEVA, S. K.
Title: Prediction of Nucleotide Sequences by using Genomic Signals
Keywords: Genomic signals, Sequence prediction, Time series prediction, Neural networks

Abstract: The conversion of symbolic sequences into complex genomic signals allows using signal processing methods for the handling and analysis of nucleotide sequences. This methodology reveals surprizing regularities, both locally and at a global scale, allowing to predict nucleotides in a sequence when knowing the preceding ones. Such experiments have a biologic significance, as they explore the possibility and the efficiency of error correction in processes like replication, transcription and translation.

References

    Issue
    9th WSEAS International Conference on NEURAL NETWORKS (NN’08), pp. 107-112, 2008, Bulgaria,

    Вид: публикация в национален форум

    Въведена от: ас. Ана Георгиева Пискова