Neural Network in Human Identification by DNA Sequences

Rafeh, Reza and Mesgar, Mohsen (2010) Neural Network in Human Identification by DNA Sequences. Second International Conference on Computer and Electrical Engineering, Dubai, United Arab Emirates, 28-30 Dec. 2009.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/document/5380141/

Abstract or Summary

In this paper we propose a new method to analyze the similarity/dissimilarity of DNA sequences which can be used in human identification field. This method is based on the graphical representation proposed by Randic et al. [1]. Instead of calculating the leading eigenvalues of the matrix for graphical representation we smooth the zigzag curve and calculate its curvature. Similarity between DNA sequences are decided by neural network. Our method is useful for human identification in criminal investigations and in Genetic disease. Our results verify the validity of our method.

Item Type:Paper presented at a conference, workshop or other event, and published in the proceedings
Keywords that describe the item:DNA sequences, Neural Network, Human Identification
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
ID Code:5142
Deposited By:
Deposited On:11 Jan 2017 02:45
Last Modified:19 Dec 2018 23:11

Repository Staff Only: item control page