Processed Data for Training/Testing Gene-DML Framework
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images (accepted by WACV2026). Please kindly refer to our paper and code.
Structure
st_data/
├── her2st/ # HER2ST dataset
│ ├── ST-cnts/ # Gene expression count files
│ ├── ST-imgs/ # Histopathology images
│ ├── ST-spotfiles/ # Spot coordinate files
│ ├── gt_features_uni_small_224/ # Target features (extracted by UNI)
│ └── n_features_uni_small_5_224/ # Neighbor features (extracted by UNI)
├── skinst/ # skinST dataset
│ └── ...
├── stnet/ # STNet dataset
│ └── ...
└── test/ # External test datasets
├── 10x_breast_ff1 (breast data)
├── 10x_breast_ff2 (breast data)
├── 10x_breast_ff3 (breast data)
├── NCBI463 (skin data)
└── NCBI464 (skin data)
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