Constructing Time-Varying Gene Regulatory Networks

摘要：

　　Discovered gene regulation networks are very helpful to understand biological mechanisms and predict unknown gene functions.Little literature has been done toward estimating time-varying networks from time series data.In this paper,we develop a new method to discover the dynamic,and delay interactions between genes based on gene expression data.The method builds on time lagged mutual information and a temporally smoothed l1-regularized logistic regression.To evaluate our method,we use both simulated and biological data from the yeast cell cycle in regulatory networks modeling.Results demonstrate the superior performance of our method.

关键词： gene regulatory networks mutual information l1-regularization

作者: Xiaohong Ni Yingfei Sun

作者单位: School of Electtonic, Electrical and Communication Engineering,University of Chinese Academy of Sciences, Beijing, 100049, P.R.of China

会议类型: 国际会议

会议名称: 2013 International Conference on Information, Business and Education Technology (2013信息、商业与教育技术国际会议(ICIBET 2013))

会议地点: 北京

会议语种:英文

页码: 49-52

在线出版日期: 2013-03-14（万方平台首次上网日期，不代表论文的发表时间）