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Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
Predicting gene expression from H&E-stained histology images offers a scalable alternative to costly spatial transcriptomics, yet most existing methods operate at the spot level, where signals from multiple cells are aggregated and critical cellular heterogeneity is obscured. Extending this paradigm
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