Protein coding regions are commonly diffused with non-coding regions due to 1/f
background noise in such a way that a viable discernment between the two regions …

Data-driven machine learning, especially deep learning technology, is becoming an
important tool for handling big data issues in bioinformatics. In machine learning, DNA …

Breast cancer is one of the most common diseases suffered, especially by women, in the
world, and about two billion new cases of patients with breast cancer in 2018. Therefore, it is …

Recently, digital signal processing has been widely applied in the study of genomics. One of
the genomic studies is identification of protein-coding regions. Where is a protein coded …

The so-called receiver operating characteristic technique is used as a tool in an optimization
procedure for the improvement and assessment of a filter-based methodology for the …

Digital Signal Processing (DSP) applications in Bioinformatics have received great attention
in recent years, where new effective methods for genomic sequence analysis, such as the …

A major area of research in genomic sequence analysis is the identification of protein coding
regions using the period-3 property. Previously antinotch filter has been used for this …

Background The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet
periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that …

Abstract Background and Objective Digital signal processing techniques commonly employ
fixed length window filters to process the signal contents. DNA signals differ in …

Recently there are greater advances in bioinformatics and genomic signal processing.
Digital Signal Processing (DSP) applications in genomic sequence analysis have received …