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Entropy-Enhanced Genome Analysis in Frequency Domain

S.E. Lyshevski
Rochester Institute of Technology, US

Keywords:
entropy, analysis, frequency domain

Abstract:
In this paper, we report the application of an entropy-enhanced frequency-domain analysis concept to examine large-scale genomic data. This ensures superior coherency for qualitative and quantitative analysis. Different statistical methods are used in order to analyze large-scale data produced and attempt to perform data mining. These attempts have been partially successful due to sequences gaps, nonconding and low complexity regions, inaccuracy, etc. In contrast, we report a novel robust method that is based on frequency-domain analysis. The reported paradigm complements a number of far-reaching perceptions that new concepts will emerge to comprehend complex large-scale genomic data under uncertainties.

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