Title
On the use of Pseudo-EIIP mapping scheme for identifying exons locations in DNA sequences
Abstract
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
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-Badawy151.32
Safa Gasser282.73
Ashraf M. Aziz3988.72
Mohamed E. Khedr4123.48