Spatial transcriptomics (ST) technologies link tissue morphology with gene expression, but remain expensive to use; furthermore, models that predict ST data from histopathology images possess considerable limitations. Here, the authors develop STimage, a deep learning probabilistic framework for ST prediction from histopathology images while prioritising robustness and interpretability.
- Xiao Tan
- Onkar Mulay
- Quan Nguyen