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1. stEnTrans stEnTrans Public

   Transformer-based deep learning for spatial transcriptomics enhancement.

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2. scstGCN scstGCN Public

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   A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expression by integrating multimodal information.

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3. SpaViT SpaViT Public

   Forked from wenwenmin/SpaViT

   A self-supervised learning method with Vision Transformer as backbone network for resolution enhancement in spatial transcriptomics.

   Jupyter Notebook

4. HISTEX HISTEX Public

   Forked from wenwenmin/HISTEX

   A bidirectional cross-attention and pre-trained general-purpose foundation model-based algorithm to predict super-resolved spatial gene expression by deeply integrating histology images and LR spot…

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