Authors: S.E. Lyshevski
Affilation: Rochester Institute of Technology, United States
Pages: 325 - 328
Keywords: entropy, analysis, frequency domain
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.