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A transition tensor for quantifying spatial transcriptome attractors

Spatial transcriptomics and mRNA splicing measurements encode rich spatiotemporal information for cell states and their transitions. We present a multiscale dynamical system method for reconstructing cell-state-specific dynamics and spatial state transitions. This theory-based approach reconciles short-timescale local tensor streamlines between cells with long-timescale transition paths that connect cell attractors.

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Fig. 1: Design and illustration of STT.


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This is a summary of: Zhou, P. et al. Spatial transition tensor of single cells. Nat. Methods (2024).

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A transition tensor for quantifying spatial transcriptome attractors. Nat Methods 21, 942–943 (2024).

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