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Benchmarking the translational potential of spatial gene expression prediction from histology

2023-12-12

Abstract excerpt

Spatial transcriptomics has enabled the quantification of gene expression at spatial coordinates, offering crucial insights into molecular underpinnings of diseases. In light of this, several methods predicting spatial gene expression from paired histology images have offered the opportunity of enhancing the utility of readily obtainable and cost-effective haematoxylin-and-eosin-stained histology images. To this e...

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Literature Corpus work
f4b4ff73-aa70-5b94-a7a2-2da6cfc88c42
DOI
10.1101/2023.12.12.571251
Open publication

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Benchmarking the translational potential of spatial gene expression prediction from histologyDOI 10.1101/2023.12.12.571251
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