A neural network framework incorporating compositional structure achieves modular identifiability for genetic circuit modules, learning their functions with reduced data and providing theoretical guarantees plus out-of-distribution prediction.
A load driver device for engineering modularity in biological networks,
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Learning Genetic Circuit Modules with Neural Networks: Full Version
A neural network framework incorporating compositional structure achieves modular identifiability for genetic circuit modules, learning their functions with reduced data and providing theoretical guarantees plus out-of-distribution prediction.