Article

SORBET: Automated cell-neighborhood analysis of spatial transcriptomics or proteomics for interpretable sample classification via GNN

2024-01-02

Abstract excerpt

Spatial cellular profiling technologies have revolutionized our understanding of complex biological processes, from development and disease progression to immunity and aging. Despite their promise, integrating spatial information with multiplexed molecular data to accurately predict phenotypes poses significant challenges, especially in clinical settings. Here, we present SORBET, a geometric deep learning framewor...

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Literature Corpus work: 8b960827-c6c2-5550-a406-c9572e36171b
DOI: 10.1101/2023.12.30.573739

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