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BMC Systems Biology|October 29, 2014
A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasetsLi-Zhi Liu, Fang-Xiang Wu, Wen-Jun ZhangIET Systems Biology|January 9, 2015
Properties of sparse penalties on inferring gene regulatory networks from time-course gene expression dataLi-Zhi Liu, Fang-Xiang Wu, Wen-Jun ZhangIEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|June 17, 2009
Dynamic-model-based method for selecting significantly expressed genes from time-course expression profilesFang-Xiang Wu, Wen-Jun ZhangAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Identification of gene regulatory networks from time course gene expression dataFang-Xiang Wu, Li-Zhi Liu, Zhang-Hang XiaIEEE/ACM Transactions on Computational Biology and Bioinformatics|October 5, 2011
Inference of biological S-system using the separable estimation method and the genetic algorithmLi-Zhi Liu, Fang-Xiang Wu, W J ZhangThescientificworldjournal|February 12, 2014
Nonlinear-model-based analysis methods for time-course gene expression dataLi-Ping Tian, Li-Zhi Liu, Fang-Xiang WuProteome Science|July 5, 2012
An unsupervised machine learning method for assessing quality of tandem mass spectraWenjun Lin, Jianxin Wang, Wen-Jun Zhang, et al.IET Systems Biology|September 27, 2013
M-matrix-based stability conditions for genetic regulatory networks with time-varying delays and noise perturbationsLi-Ping Tian, Zhong-Ke Shi, Li-Zhi Liu, et al.Thescientificworldjournal|November 30, 2011
Nonlinear model-based method for clustering periodically expressed genesLi-Ping Tian, Li-Zhi Liu, Qian-Wei Zhang, et al.BMC Bioinformatics|June 27, 2008
Genetic weighted k-means algorithm for clustering large-scale gene expression dataFang-Xiang WuPageof 64