Article

Predicting gene expression from whole slide images in prostate cancer using deep learning

2026-02-04

Abstract excerpt

<title>Abstract</title> <p>Prostate cancer exhibits complex heterogeneity, requiring resource-intensive sequencing to characterize its diversity for precision medicine. While image-based transcriptomic prediction models offer a promising alternative, current approaches lack comprehensive validation and downstream interpretation. Here, we propose ProGENIE, a novel multi-head attention-pooling framework to predict...

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Literature Corpus work: 45c14f26-e23a-5e69-83eb-c7ee47f94b73
DOI: 10.21203/rs.3.rs-8770716/v1

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