Article

Graph neural networks learn emergent tissue properties from spatial molecular profiles

2022-12-11

Abstract excerpt

Tissue phenotypes such as metabolic states, inflammation, and tumor properties are functions of molecular states of cells that constitute the tissue. Recent spatial molecular profiling assays measure tissue architecture motifs in a molecular and often unbiased way and thus can explain some aspects of emergence of these phenotypes. Here, we characterize the ability of graph neural networks to model tissue-level eme...

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Literature Corpus work: 4d27c0fd-3a96-5f48-80d3-56205c2a1ad4
DOI: 10.1101/2022.12.08.519537

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