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Analysis of Liver Cancer DNA Sequence Data using Data Mining

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 61 - Number 3
Year of Publication: 2013
Authors:
N. Senthil Vel Murugan
V. Vallinayagam
K. Senthamarai Kannan
T. Viveka
10.5120/9909-4502

N.senthil Vel Murugan, V.vallinayagam, Senthamarai K Kannan and T Viveka. Article: Analysis of Liver Cancer DNA Sequence Data using Data Mining. International Journal of Computer Applications 61(3):23-25, January 2013. Full text available. BibTeX

@article{key:article,
	author = {N.senthil Vel Murugan and V.vallinayagam and K. Senthamarai Kannan and T. Viveka},
	title = {Article: Analysis of Liver Cancer DNA Sequence Data using Data Mining},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {61},
	number = {3},
	pages = {23-25},
	month = {January},
	note = {Full text available}
}

Abstract

Data mining is flourishing during recent years and it is establishing itself as a major discipline in Computer Science and Statistics with industrial relevance. Data mining is finding interesting structure in databases [2]. DNA is an extraordinary chip data with thousands of attributes which represents the gene expression values [4]. The DNA data set are stored in huge biological databases for several purposes [1]. Cancer occurs when lumps of cells usually group together to form tumors. A growing tumor becomes a lump of cancer cells that can destroy the normal cells around the tumor and damage the body's health tissues. In the last two decades the researchers have drawn much attention about liver cancer. Liver cancer is a disease in which malignant cells form in the tissues of the liver. It is relatively rare form of cancer but has a high mortality rate. The aim of this paper is to analyze the liver cancer DNA sequence data using the generalization of Kimura Models and Markov Chain. The reasonable results verify the validity of our method.

References

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