Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81742
Title: Diagnosis of skin cancer by correlation and complexity analyses of damaged DNA
Authors: Namazi, Hamidreza
Kulish, Vladimir V.
Delaviz, Fatemeh
Delaviz, Ali
Keywords: Skin cancer
DNA walk
Fractal dimension
The Hurst exponent
Damaged DNA
Issue Date: 2015
Source: Namazi, H., Kulish, V. V., Delaviz, F., & Delaviz, A. (2015). Diagnosis of skin cancer by correlation and complexity analyses of damaged DNA. Oncotarget, 6(40), 42623-42631.
Series/Report no.: Oncotarget
Abstract: Skin cancer is a common, low-grade cancerous (malignant) growth of the skin. It starts from cells that begin as normal skin cells and transform into those with the potential to reproduce in an out-of-control manner. Cancer develops when DNA, the molecule found in cells that encodes genetic information, becomes damaged and the body cannot repair the 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 diagnose the skin cancer, first DNA walk plots of genomes of patients with skin cancer were generated. Then, the data so obtained was checked for complexity by computing the fractal dimension. Furthermore, the Hurst exponent has been employed in order to study the correlation of damaged DNA. By analysing different samples it has been found that the damaged DNA sequences are exhibiting higher degree of complexity and less correlation compared to normal DNA sequences. This investigation confirms that this method can be used for diagnosis of skin cancer. The method discussed in this research is useful not only for diagnosis of skin cancer but can be applied for diagnosis and growth analysis of different types of cancers.
URI: https://hdl.handle.net/10356/81742
http://hdl.handle.net/10220/39671
ISSN: 1949-2553
DOI: 10.18632/oncotarget.6003
Schools: School of Mechanical and Aerospace Engineering 
Rights: All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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