Title | ||
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On the use of Pseudo-EIIP mapping scheme for identifying exons locations in DNA sequences |
Abstract | ||
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Identifying exons locations in DNA sequences is one of the significant applications of signal processing in bioinformatics. Mapping a DNA character string into a numerical sequence is a prerequisite prior to its analysis using signal processing techniques. Recently, the Pseudo-EIIP DNA symbolic-to-numeric mapping scheme shows a promising performance with the filter-based exons prediction method, as compared to the traditional EIIP scheme. This paper investigates the performance of the Pseudo-EIIP mapping scheme with different period-3 exons prediction methods, as compared to a number of existing one-dimensional mapping schemes. We conduct MATLAB simulation on the BG570 genomic dataset for the purpose of evaluating exons prediction performance utilizing the ROC curve, precision-recall curve and F-measure. The results reveal the superiority of the Pseudo-EIIP numerical representation over other traditional one-dimensional representations, when employed with different period-3 exons prediction methods. |
Year | DOI | Venue |
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2015 | 10.1109/ICSIPA.2015.7412197 | 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) |
Keywords | Field | DocType |
pseudoEIIP mapping scheme,exons location identification,DNA sequences,signal processing,bioinformatics,DNA character string,numerical sequence,pseudoEIIP DNA symbolic-to-numeric mapping scheme,filter-based exon prediction method,traditional EIIP scheme,exons prediction methods,one-dimensional mapping schemes,MATLAB simulation,BG570 genomic dataset,ROC curve,precision-recall curve,F-measure,pseudoEIIP numerical representation | Data mining,Signal processing,Digital signal processing,Pattern recognition,Computer science,Exon,Genomics,DNA sequencing,Artificial intelligence,String (computer science),Matlab simulation | Conference |
Citations | PageRank | References |
2 | 0.51 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ismail M. El-Badawy | 1 | 5 | 1.32 |
Safa Gasser | 2 | 8 | 2.73 |
Ashraf M. Aziz | 3 | 98 | 8.72 |
Mohamed E. Khedr | 4 | 12 | 3.48 |