A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data.

Our results were highly significant, affirming that cells at earlier stages consistently had higher potential energy than those at later stages.

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S2 confirmed this hypothesis, showing a clear trend of decreasing cell potential over time.

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