Analysis of Gene Expression Data based on LLE and PCA

摘要：

A characteristic of gene expression data is that the number of variab)es(genes) p much more than the number of samples n, commonly know as the large p, small n. In this paper, we used the PCA and LLE dimension reduction analyzed microarray data .As a result, we can know the LLE and PCA is better than the none dimension reduction. The two reduction methods can get a good result when the dimension is four and five.

关键词： PCA LLE SVM Microarray data

作者: Zhengyuan Ning Zicheng Huang Shiguo Huang

作者单位: College of Computer and Information Fujian Agriculture and Forestry University Fuzhou, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Engineering and Applications(2011第三届计算机工程与应用国际会议 ICCEA2011)

会议地点: 海口

会议语种:英文

页码: 512-514

在线出版日期: 2011-07-15（万方平台首次上网日期，不代表论文的发表时间）