DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network

Wang, J., Xu, Y., Tu, K., Qiang, M., Wang, S., Guo, C., Li, R., Wang, G.

10.64898/2026.06.09.731114 · was preprinted

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Surfaced because: unusual independent discussion, open code, data available, benchmarked against baselines.

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DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network #SingleCell 🧪🧬🖥️ https://www.biorxiv.org/content/10.64898/2026.06.09.731114v1

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DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network https://www.biorxiv.org/content/10.64898/2026.06.09.731114v1

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DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network [new]

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DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network https://www.biorxiv.org/content/10.64898/2026.06.09.731114v1

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