Benchmarking the translational potential of spatial gene expression prediction from histology
Adam S. Chan,
Chuhan Wang,
Xiaohang Fu
et al.
Abstract: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 end, we conducted a comprehensive benchmarking study encompassing six developed methods. These meth… Show more
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