Mining Co-regulated Genes Using Association Rules Combined with Hash-tree and Genetic Algorithms

摘要：

Genes with similar patterns of mRNA expression and similar functions are likely to be regulated via the same mechanisms. This work is based on Association Rules, combined with Hash-tree and Genetic Algorithm to mine co-regulated genes from yeast genome dataset by generating lots of co-regulated rules. The computer experiments verified the effectiveness of the proposed method. Comparing with the GO database, the results showed that some important relationships between the genes in function, component or process are found by our method. Some genes without annotation yet are also inferred to have similar functions with those annotated genes in same rule.

作者: Fengjun Han Nini Rao

作者单位: School of Life Science and Technology UESTC Chengdu, Sichuan, China ，610054

会议类型: 国际会议

会议名称: 2007年通信、电路与系统国际会议(2007 International Conference on Communications,Circuits and Systems Proceedings)

会议地点: 日本福冈

会议语种:英文

在线出版日期: 2007-07-11（万方平台首次上网日期，不代表论文的发表时间）