Super-resolved spatial transcriptomics by deep data fusion.
Abstract
Current methods for spatial transcriptomics are limited by low spatial resolution. Here we introduce a method that integrates spatial gene expression data with histological image data from the same tissue section to infer higher-resolution expression maps. Using a deep generative model, our method characterizes the transcriptome of micrometer-scale anatomical features and can predict spatial gene expression from histology images alone.
Keywords
Spatial Transcriptomics
MeSH terms
Transcriptome
Authors
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