![]() | Nanotech 2006 Vol. 2
Technical Proceedings of the 2006 NSTI Nanotechnology Conference and Trade Show, Volume 2
Chapter 4: Computational Modeling in Life Sciences |
Entropy-Enhanced Genome Analysis in Frequency Domain | |
| Authors: | S.E. Lyshevski |
| Affilation: | Rochester Institute of Technology, US |
| Pages: | 325 - 328 |
| 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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| ISBN: | 0-9767985-7-3 |
| Pages: | 893 |
| Hardcopy: | $119.95 |
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