Transcription factor binding site recognition by regularity matrices based on the natural classification method

A principally new approach to the classifications of nucleotide sequences based on the “natural” classification concept is proposed. As a result of “natural” classification of the nucleotide sequences, we obtain regularity matrices, where nucleotides are interconnected by regularities. Method, algor...

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Bibliographic Details
Published in:Intelligent data analysis 2008-01, Vol.12 (5), p.495-512
Main Authors: Vityaev, E.E., Lapardin, K.A., Khomicheva, I.V., Proskura, A.L.
Format: Article
Language:English
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Summary:A principally new approach to the classifications of nucleotide sequences based on the “natural” classification concept is proposed. As a result of “natural” classification of the nucleotide sequences, we obtain regularity matrices, where nucleotides are interconnected by regularities. Method, algorithm and software system DNANatClass for performing the “natural” classification have been developed. Experimental results comparing weight matrices with regularity matrices are presented. In this experiment, site recognition by regularity matrices appears to be more accurate than by weight matrixes.
ISSN:1088-467X
1571-4128
DOI:10.3233/IDA-2008-12505