Analysis of Liver Cancer DNA Sequence data using Latent values

N. Senthil Vel Murugan*, V. Vallinayagam**, K. Senthamarai Kannan***
*-** Department of Mathematics, St.Joseph's College of Engineering, Chennai.
*** Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli
Periodicity:April - June'2012
DOI : https://doi.org/10.26634/jmat.1.2.1850

Abstract

Extraction of meaningful information from large experimental data sets is a key element in bioinformatics research. Recent advances in high-throughput genomic technologies enable acquisition of different types of molecular biological data Orly Alter (2003). Present evidence, based on systematic studies of the entire GenBank database Buldyrev (1998). Statistical approaches help in the determination of significance configurations in Protein and Nucleic acid sequence data Ying Guo (2008). 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 analyzed the liver cancer DNA sequence data using Latent values and Stationary distributions. The reasonable results verify the validity of our method.

Keywords

Liver Cancer; DNA; Stationary distributions

How to Cite this Article?

Murugan, S.V., Vallinayagam, V., and Kannan, K.S. (2012). Analysis of Liver Cancer DNA Sequence Data Using Latent Values. i-manager’s Journal on Mathematics, 1(2), 34-37. https://doi.org/10.26634/jmat.1.2.1850

References

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[6]. Ying Guo et al (2008). “A new method to analyze the similarity of the DNA sequences”, Journal of Molecular structure: THEOCHEM 853, pg. 62 – 67.
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