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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Ye Yuan1,2, Xiuchuan Tang3, Wei Zhou1
1School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, 430074, Wuhan, People's Republic of China.
This study introduces a new data-driven framework to model complex cyber-physical systems (CPS). The approach identifies system components and their interactions, enabling performance assessment and redesign.
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