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IEEE Transactions on Cybernetics|February 26, 2026
On the Number of Control Nodes in Boolean Networks With Degree ConstraintsLiangjie Sun, Wai-Ki Ching, Tatsuya Akutsu
Neural Computation|December 2, 2024
On the Compressive Power of Autoencoders With Linear and ReLU Activation FunctionsLiangjie Sun, Chenyao Wu, Wai-Ki Ching, et al.
Journal of Theoretical Biology|December 14, 2018
On the number of driver nodes for controlling a Boolean network when the targets are restricted to attractorsWenpin Hou, Peiying Ruan, Wai-Ki Ching, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 15, 2021
On the Distribution of Successor States in Boolean Threshold NetworksSini Guo, Pengyu Liu, Wai-Ki Ching, et al.
International Journal of Data Mining and Bioinformatics|July 4, 2013
Finding optimal control policy in probabilistic Boolean Networks with hard constraints by using integer programming and dynamic programmingXi Chen, Tatsuya Akutsu, Takeyuki Tamura, et al.
BMC Systems Biology|February 26, 2014
On control of singleton attractors in multiple Boolean networks: integer programming-based methodYushan Qiu, Takeyuki Tamura, Wai-Ki Ching, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 28, 2017
Identifying a Probabilistic Boolean Threshold Network From SamplesAvraham A Melkman, Xiaoqing Cheng, Wai-Ki Ching, et al.
Bioinformatics (Oxford, England)|April 28, 2007
An approximation method for solving the steady-state probability distribution of probabilistic Boolean networksWai-Ki Ching, Shuqin Zhang, Michael K Ng, et al.
Journal of Theoretical Biology|October 31, 2006
Control of Boolean networks: hardness results and algorithms for tree structured networksTatsuya Akutsu, Morihiro Hayashida, Wai-Ki Ching, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 15, 2015
Exact Identification of the Structure of a Probabilistic Boolean Network from SamplesXiaoqing Cheng, Tomoya Mori, Yushan Qiu, et al.
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