Feature Selection For SNP Data Based On Relief-SVM

摘要：

the presence of Single nucleotide polymorphism causes DNA sequence difference, affects protein changing the structure and function, which causes the human genetic disease. The whole genome wide association is a new strategy to screen SNP with disease related, it avoids the hypothesis before non-fully evidence, but it increases the difficulties of screening SNP with disease. Now in the whole genome wide association the association analysis of single SNPs has been considered and without the consideration of the interaction among SNPs, thus the SNP of screening are not entirely credible. In order to improve the classification accuracy of SNP selecting, this paper proposed a feature selection method based on ReliefSVM for SNP data, which can screen important SNP with disease related .

关键词： genome wide association SNP feature selection

作者: Wenbin Zhang Yue Wu Zhou Lei Zongtian Liu

作者单位: Department of Computer Engineering and Science Shanghai University Shanghai, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 1732-1735

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）