Finding Time-delayed Gene Regulation Patterns from Microarray Data

摘要：

Discovered gene regulation networks are very helpful to predict unknown gene functions. Microarray gene expression data reveals activation and deactivation relations among genes. There are evidences showing that multiple time units delay exist in a gene regulation process. Association rule mining technique is very suitable for finding regulation relations among genes. However, current association rule mining techniques can not handle temporally ordered transactions. We propose a modified association rule mining technique for efficiently discovering time-delayed regulation relationships among genes.

关键词： Gene Regulation Apriori Algorithm Microarray Association Rule Mining

作者: Huang-Cheng Kuo Pei-Cheng Tsai Jen-Peng Huang

作者单位: Department of Computer Science and Information Engineering National Chiayi University Chiayi 600, Ta Department of Information Management Southern Taiwan University Tainan 710, Taiwan

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）