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COMPUTATIONAL GENOMICS

Graphing cell relations in spatial transcriptomics

A graph neural network-based tool is introduced to perform unsupervised cell clustering using spatially resolved transcriptomics data that can uncover cell identities, interactions, and spatial organization in tissues and organs.

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Fig. 1: Overview of the graph-based model approach, processing SRT data from the human dorsolateral prefrontal cortex generated with 10x Visium7 as an example input.

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Correspondence to Xin Zhou.

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Zhou, X. Graphing cell relations in spatial transcriptomics. Nat Comput Sci 2, 354–355 (2022). https://doi.org/10.1038/s43588-022-00269-2

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  • DOI: https://doi.org/10.1038/s43588-022-00269-2

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