Combining model-based and data-driven models: an application to synthetic biology resource competition
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This work explores the integration of machine learning (ML) and mechanistic models (MM). While ML has demonstrated remarkable success in data-driven modeling across engineering, biology, and other scientific fields, MM remain essential for their interpretabili... ...
