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A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions

Identifying driver regulators in cell stateions is key to decoding cellular function. Here, the authors present regX, an interpretable AI framework to prioritise potential driver TFs and cCREs from single-cell multiomics data, showing potential for understanding and manipulating cell states.