Article

Improved Spatial Transcriptomics Clustering with Nested Graph Neural Networks

2025-02-08

Abstract excerpt

We introduce a novel approach, STING, for spatial transcriptomic clustering analysis. Unlike existing state-of-the-art techniques that use graph-based neural networks (GNNs) trained on graphs generated from the spatial proximity of tissue locations (or spots), STING incorporates spot-specific related genes. This feature allows STING to better distinguish between clusters and identify meaningful gene-gene relations...

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Literature Corpus work: c51d77b3-4367-5a2a-bc97-3ffff2b437e5
DOI: 10.1101/2025.02.03.636316

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