A New Computational Framework for Gene Expression Clustering

摘要：

Clustering of gene expression is a useful exploratory technique for gene expression dataset as it groups similar objects together and identify potentially meaningful relationships between the objects. However, there are several issues arise for instance data intensive and redundancy in the cluster. Therefore, the new computational framework is needed in order to handle these issues. The results showed that the proposed computational framework achieved better results compared with other methods.

关键词： gene expression gene function prediction biological `knowledge and functional annotations

作者: Shahreen Kasim Safaai Deris Razib M. Othman

作者单位: Department of Information System Faculty of Information Technology and Multimedia,Universiti Tun Hus Laboratory of Computational Intelligence and Biotechnology Universiti Teknologi Malaysia 81310 UTM S Artificial Intelligence and Bioinformatics Research Group Faculty of Computer Science and Informatio

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 603-610

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）