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Computational and Mathematical Methods in Medicine
Volume 2015 (2015), Article ID 242695, 11 pages
http://dx.doi.org/10.1155/2015/242695
Research Article

Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA

1Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kuching, Sarawak, Malaysia
2Faculty of Biosciences & Medical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

Received 23 January 2015; Accepted 24 March 2015

Academic Editor: Alexey Zaikin

Copyright © 2015 Hamidreza Namazi and Mona Kiminezhadmalaie. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Cancer starts when cells in a part of the body start to grow out of control. In fact cells become cancer cells because of DNA damage. A DNA walk of a genome represents how the frequency of each nucleotide of a pairing nucleotide couple changes locally. In this research in order to study the cancer genes, DNA walk plots of genomes of patients with lung cancer were generated using a program written in MATLAB language. The data so obtained was checked for fractal property by computing the fractal dimension using a program written in MATLAB. Also, the correlation of damaged DNA was studied using the Hurst exponent measure. We have found that the damaged DNA sequences are exhibiting higher degree of fractality and less correlation compared with normal DNA sequences. So we confirmed this method can be used for early detection of lung cancer. The method introduced in this research not only is useful for diagnosis of lung cancer but also can be applied for detection and growth analysis of different types of cancers.