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A study of the single point mutation loci in the Hepatitis B Virus sequences via optimal risk and preventive sets with weights

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机构： [1]Kunming University of Science and Technology, Kunming, China [2]Institute of Basic Medicine of the First People’s Hospital of Yunnan Province, and Center of Clinical Molecular Biology, and Kunhua Affiliated Hospital of Kunming Medical College, Kunming, China [3]University of South Australia, South Australia, Australia

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关键词： Feature selection Hepatitis B virus Mutation loci Optimal risk and preventive patterns

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HBV (Hepatitis B Virus) infection is a severe global health problem. In recent years, the single point mutation as an essential element in the HBV evolution has been extensively studied, however, only the limited mutation loci were reported. In this paper, we proposed a new method to apply MORE (Mining Optimal Risk PattErn sets) and RPSW (Risk and Preventive Sets with Weights) algorithms to study the single point mutation loci in the HBV sequences. Experimental results show that the proposed approach is efficient to mine mutation loci, such as the reported mutation loci at positions ntT1753C, ntA1762T, ntG1764A, nt1896, and the new found mutation loci at positions ntA1436G, ntG1629A, ntA1383C, ntA1573T, and the risky of positive mutation loci at positions nt1726, nt1657, nt1463, nt1658, nt1498, nt1386. Furthermore, the proposed method is also able to find out highly relevant association rules or patterns based on the feature mutation loci. © 2012 Springer-Verlag Berlin Heidelberg.

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第一作者机构： [1]Kunming University of Science and Technology, Kunming, China

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