A Biclustering Algorithm with Coherent Evolution on the Contiguous Columns Facing Time-series Gene Data

摘要：

　　Biclustering technique has become an important tool in analysis of gene expression data.However,most traditional biclustering algorithms focus on biclustering model on non-continuous column.For time series gene expression data,these models neglect the important internal sequential relationship between the time intervals,thus it is not suitable for this kind of data.This paper proposes an effective and exact algorithm,which can be used to mine biclusters with coherent evolution on the contiguous columns on time series gene expression data.The experimental results show that the algorithm can find biclusters of statistical significance and rather strong biological relevance.

关键词： time-series data biclustering continuous columns consistent evolution

作者: Yun Xue Meihang Li Zhengling Liao Jie Luo Tiechen Li Hua Xiao Xiaohui Hu

作者单位: School of Physics and Telecommunication Engineering South China Normal University Guangzhou,China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 336-341

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）