From DNA to protein: Why genetic code context of nucleotides for DNA signal processing? A review
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 …
background noise in such a way that a viable discernment between the two regions …
Deep transfer learning for automated liver cancer gene recognition using spectrogram images of digitized DNA sequences
DNA biomarkers are considered to be an important diagnostic factor for early detection of
cancer. With the development of technology, many machine learning methods have been …
cancer. With the development of technology, many machine learning methods have been …
[PDF][PDF] Genomic analysis and classification of exon and intron sequences using DNA numerical mapping techniques
M Abo-Zahhad, SM Ahmed… - International Journal of …, 2012 - Citeseer
Using digital signal processing in genomic field is a key of solving most problems in this
area such as prediction of gene locations in a genomic sequence and identifying the defect …
area such as prediction of gene locations in a genomic sequence and identifying the defect …
A novel numerical mapping method based on entropy for digitizing DNA sequences
B Das, I Turkoglu - Neural Computing and Applications, 2018 - Springer
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 genomic studies is identification of protein-coding regions. Where is a protein coded …
A deep learning model for identification of diabetes type 2 based on nucleotide signals
B Das - Neural Computing and Applications, 2022 - Springer
Abstract In Genome-Wide Association Studies (GWAS), detection of T2D-related variants in
genome sequences and accurate modeling of the complex structure of the relevant gene are …
genome sequences and accurate modeling of the complex structure of the relevant gene are …
A novel genome analysis method with the entropy-based numerical techniqueusing pretrained convolutional neural networks
The identification of DNA sequences as exon and intron is a common problem in genome
analysis. The methods used for feature extraction and mapping techniques for the …
analysis. The methods used for feature extraction and mapping techniques for the …
Polyphase filtering with variable mapping rule in protein coding region prediction
S Singha Roy, S Barman - Microsystem Technologies, 2017 - Springer
Genomic researches are concerned with the study of genomes of organisms. It has become
a challenge to the researchers to identify the segments within the DNA sequence that …
a challenge to the researchers to identify the segments within the DNA sequence that …
On fuzzy semantic similarity measure for DNA coding
A coding measure scheme numerically translates the DNA sequence to a time domain
signal for protein coding regions identification. A number of coding measure schemes based …
signal for protein coding regions identification. A number of coding measure schemes based …
[PDF][PDF] A novel optimized approach for gene identification in DNA sequences
Gene identification is an open optimization problem in Bioinformatics. Exponential growth of
biological data needs efficient methods for protein translation. Several approaches have …
biological data needs efficient methods for protein translation. Several approaches have …
[PDF][PDF] A novel circular mapping technique for spectral classification of exons and introns in human DNA sequences
M Abo-Zahhad, SM Ahmed… - Int. J. Inf. Technol …, 2014 - academia.edu
Signals that represent information may be classified into two forms: numeric and symbolic.
Symbolic signals such as DNA symbolic sequences cannot be directly processed with digital …
Symbolic signals such as DNA symbolic sequences cannot be directly processed with digital …