Article

Spatial gene expression at single-cell resolution from histology using deep learning with GHIST

2024-07-04

Abstract excerpt

The increased use of spatially resolved transcriptomics provides new biological insights into disease mechanisms. However, the high cost and complexity of these methods are barriers to broad clinical adoption. Consequently, methods have been created to predict spot-based gene expression from routinely-collected histology images. Recent benchmarking showed that current methodologies have limited accuracy and spatia...

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Literature Corpus work: 7ce700d1-1158-5090-9a83-da26561b70bb
DOI: 10.1101/2024.07.02.601790

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