Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA

HamidReza, Namazi and Mona, Kiminezhadmalaie (2015) Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA. Computational and Mathematical Methods in Medicine, 2015. ISSN 1537-744X

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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,DNAwalk plots of genomes of patientswith lung cancerwere 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 thismethod can be used for early detection of lung cancer.Themethod 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.

Item Type: Article
Uncontrolled Keywords: diagnose, lung cancer, cells, DNA damage, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: R Medicine > R Medicine (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 18 Feb 2016 06:16
Last Modified: 21 Oct 2016 01:43
URI: http://ir.unimas.my/id/eprint/10585

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