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With the enormous amount of biological data that is available in the public domain, signal processing plays an important role in genomic and proteomic data processing. Digital filters have been applied to predict genes and proteins, but the filters need to be redesigned when the periodic behavior or characteristic frequency is changed. In this paper, we propose a novel approach based on adaptive filtering...
With the enormous amount of biological sequences that are available in the public domain, signal processing methods are playing an important role in genomic data processing. At first, we review the popular Voss representation which maps the alphabetic DNA sequence into the digital series. Secondly, in terms of the period-3 behavior of protein coding segments, the Kalman filtering approach for genomic...
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