A causal reinforcement learning framework for reliable gene regulatory network inference
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Background: Gene regulatory network inference is crucial for revealing the mechanisms of cellular functions and the causal mechanisms of disease occurrence. However, traditional correlation-based methods struggle to identify caus... ...
