Reverse engineering of gene regulatory network using restricted gene expression programming
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Wei Zhang | Bin Yang | Sanrong Liu | Wei Zhang | Bin Yang | Sanrong Liu
[1] Edward R. Dougherty,et al. Inference of Gene Regulatory Networks using S-System: A Unified Approach , 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.
[2] Hitoshi Iba,et al. Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization , 2013, IEEE Transactions on Evolutionary Computation.
[3] Mihai Oltean,et al. A Comparison of Several Linear Genetic Programming Techniques , 2003, Complex Syst..
[4] Masaru Tomita,et al. Dynamic modeling of genetic networks using genetic algorithm and S-system , 2003, Bioinform..
[5] Hitoshi Iba,et al. Reverse engineering gene regulatory network from microarray data using linear time-variant model , 2010, BMC Bioinformatics.
[6] Yuehui Chen,et al. Reverse engineering of gene regulatory networks using flexible neural tree models , 2013, Neurocomputing.
[7] Byoung-Tak Zhang,et al. Identification of biochemical networks by S-tree based genetic programming , 2006, Bioinform..
[8] Claudine Chaouiya,et al. Petri net modelling of biological networks , 2007, Briefings Bioinform..
[9] Cândida Ferreira,et al. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems , 2001, Complex Syst..
[10] Xin-She Yang,et al. Cuckoo search: recent advances and applications , 2013, Neural Computing and Applications.
[11] Edward R. Dougherty,et al. Learning restricted Boolean network model by time-series data , 2014, EURASIP J. Bioinform. Syst. Biol..
[12] Prospero C. Naval,et al. Parameter estimation using Simulated Annealing for S-system models of biochemical networks , 2007, Bioinform..
[13] Mihaela Zavolan,et al. Inferring gene expression regulatory networks from high-throughput measurements. , 2015, Methods.
[14] Shuhei Kimura,et al. Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm , 2005, Bioinform..
[15] Jiri Vohradsky,et al. Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae , 2006, Nucleic acids research.
[16] Fang-Xiang Wu,et al. Alternating weighted least squares parameter estimation for biological S-systems , 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).
[17] Pinar Civicioglu,et al. A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms , 2013, Artificial Intelligence Review.
[18] Hazem N. Nounou,et al. Parameter estimation of biological phenomena modeled by S-systems: An Extended Kalman filter approach , 2011, IEEE Conference on Decision and Control and European Control Conference.
[19] Omar P. Tabbaa,et al. Mutual information and the fidelity of response of gene regulatory models , 2014, Physical biology.
[20] Jie Zhou,et al. Discovering transcription factor regulatory targets using gene expression and binding data , 2012, Bioinform..
[21] U. Alon,et al. Assigning numbers to the arrows: Parameterizing a gene regulation network by using accurate expression kinetics , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[22] Aurélien Mazurie,et al. Gene networks inference using dynamic Bayesian networks , 2003, ECCB.
[23] Wei-Chang Yeh,et al. Artificial bee colony algorithm-neural networks for S-system models of biochemical networks approximation , 2010, Neural Computing and Applications.