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Found 3 papers, 1 papers with code
Simulating Petri nets with Boolean Matrix Logic Programming
However, logic programs struggle to deal with extensive Petri nets due to the limitations of high-level symbol manipulations.
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models
Techniques to autonomously drive research have been prominent in Computational Scientific Discovery, while Synthetic Biology is a field of science that focuses on designing and constructing new biological systems for useful purposes.
Human Comprehensible Active Learning of Genome-Scale Metabolic Networks
An important application of Synthetic Biology is the engineering of the host cell system to yield useful products.
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