Time-Varying Gene Regulatory Networks Construction Based on Logistic Regression
NI Xiao-Hong1,2, SUN Ying-Fei1
1School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100080 2Basic Courses Department, Beijing Union University, Beijing 100101
Abstract：At present, network structures derived from most gene regulatory network reconstruction methods are static, which do not change with time.However, in the cell cycle or different growth stages of an organismat, the topology of regulatory network changes significantly, which makes it difficult to understand the spatial-temporal mechanism of gene regulation. Therefore, an algorithm for the network is proposed based on time lagged Mutual Information (TLMI) and a kernel-reweighted l1-regularized logistic regression model. Two biological scenarios, the developmental stages of Drosophila melanogaster and the response of Saccharomyces cerevisiae to benomyl poisoning, are analyzed. The experimental results show that the proposed method reflects the impact of different cell states of interaction between genes and effectively acquires the dynamic effect of gene regulatory networks changing with time.
倪小虹，孙应飞. 基于Logistic回归模型的时变结构基因调控网络构建*[J]. 模式识别与人工智能, 2014, 27(7): 584-550.
NI Xiao-Hong, SUN Ying-Fei. Time-Varying Gene Regulatory Networks Construction Based on Logistic Regression. , 2014, 27(7): 584-550.
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