Identificatin of Salient Patterns for Classification of Gene Expression Data

摘要：

Identification of salient patterns for the classification of gene expression profiles is a useful step in examining the biological significance and correlation of genes with disease states. We propose a clustering-based approach in which feature selection is first carried out to identify influential genes and then salient patterns are determined to characterize each of the different classes. The proposed method has been tested with the complicated colon tumor data and the experimental results are evaluated in comparison with the published ones.

作者: Gouchol Pok Guangri Quan Keun Ho Ryu

作者单位: Yanbian University of Science and Technology Department of Computer Science Yanji, China Harbin Institute of Technology School of Software Weihai, China Chungbuk National University DB/Bioinformatics Lab Cheongju, Korea

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）