Tissue Classification Algorithm Based on NPE and LS-SVM

摘要：

Tissue classification with gene expression data is of great importance in medical diagnosis of diseases. To efficiently cope with this problem, a novel tissue classification algorithm based on neighborhood preserving embedding (NPE) and least square SVM (LS-SVM) is proposed in this paper. The experimental results on four well-known gene expression data sets demonstrate the effectiveness of the proposed algorithm.

作者: SUN Xia WANG Zi-qiang

作者单位: School of Information Science and Engineering, Henan University of Technology, Zhengzhou,450001, Chi School of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, Ch

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 1146-1149

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）