Title :
Neural Network in Human Identification by DNA Sequences
Author :
Rafeh, Reza ; Mesgar, Mohsen
Author_Institution :
Comput. Eng. Dept., Islamic Azad Univ., Malayer, Iran
Abstract :
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 [M. Randic, M. Vracko, L. Nella, P. Dejan, Chem. (2003)]. 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.
Keywords :
DNA; biology computing; eigenvalues and eigenfunctions; forensic science; matrix algebra; medical computing; neural nets; DNA sequences; criminal investigations; genetic disease; graphical representation; human identification; matrix eigenvalues; neural network; Artificial neural networks; Computer networks; DNA computing; Diseases; Eigenvalues and eigenfunctions; Forensics; Genetics; Humans; Neural networks; Sequences; Constraint Programming; Linear Programming; Optimization Problems; University Timetabling;
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
DOI :
10.1109/ICCEE.2009.132
