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Predicting Spatial Transcriptomics from H&E Image by Pretrained Contrastive Alignment Learning

2025-06-19

Abstract excerpt

The intricate molecular landscape within tissues holds crucial information about cellular behavior and disease progression, yet capturing this complexity at a spatial level remains challenging. While Spatial transcriptomics (ST) offers valuable insights into gene expression patterns within their native tissue context, its widespread adoption is hindered by high costs and limited gene detection capabilities. Here w...

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Literature Corpus work
bec280a0-7da3-50fb-8dd2-380aa37e0941
DOI
10.1101/2025.06.15.659438
Open publication

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Predicting Spatial Transcriptomics from H&E Image by Pretrained Contrastive Alignment LearningDOI 10.1101/2025.06.15.659438
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