Article

SPACE-GM: geometric deep learning of disease-associated microenvironments from multiplex spatial protein profiles

2022-05-13

Abstract excerpt

Multiplexed immunofluorescence imaging enables high-dimensional molecular profiling at subcellular resolution. However, learning disease-relevant cellular environments from these rich imaging data is an open challenge. We developed SPAtial CEllular Graphical Modeling (SPACE-GM), a geometric deep learning framework that flexibly models tumor microenvironments (TMEs) as cellular graphs. We applied SPACE-GM to 658 he...

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Literature Corpus work: a504e038-692e-5d08-81ec-63624ce73b34
DOI: 10.1101/2022.05.12.491707

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