BioinformaticsNature CommunicationsPeer-reviewed
A deep learning-based multiscale integration of spatial omics with tumor morphology.
Benoît Schmauch, Loïc Herpin, Antoine Olivier…·Eric Y. Durand
This paper introduces MISO, a deep learning method that predicts spatial transcriptomics data from H&E slides, enabling spatially resolved gene expression and patient representation for downstream tasks.
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