Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 219-221.doi: 10.11896/j.issn.1002-137X.2016.6A.053

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Research on Single Nucleotide Polymorphism Encoding in Disease Association Studies

ZHAO Jing, WEI Bin and ZHANG Jin   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Due to the SNP has some characteristics (such as high abundance and low mutation rate),they are suitable for disease association studies.Lots of those studies were based on calculated methods,so encoding the SNP to enhance the performance of disease associated analysis algorithm was critical aspect.However,few of studies were dedicated to that issue.Therefore,based on common SNP encoding method and association between them,we proposed several new encoding methods.The experiments results show that encoding methods has a greater impact on algorithm performance,and the methods described herein are better than others.Namely,the encoding methods proposed in this paper are better to describe the SNP sequence and retain the original biological sequence information,and are more suitable for disease susceptibility research.

Key words: Single nucleotide polymorphism,Encoding,Disease susceptibility

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