Spatial Proteomics Prediction on Pseudo-Visium SP Mean Results n=12 (test)
0.159MSENPF
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NPFMethod Category=ours, Learnable Parameters=25.5M, Evaluation Protocol=4-fold cross-validation2025.08 | 0.159 | 0.8748 | |
| Res50Method Category=Image Feature, Learnable Parameters=25.6M, Evaluation Protocol=4-fold cross-validation2025.08 | 0.2142 | 0.8371 | |
| Swin-TMethod Category=Image Feature, Learnable Parameters=27.6M, Evaluation Protocol=4-fold cross-validation2025.08 | 0.2265 | 0.8303 | |
| STNetMethod Category=ST-based, Learnable Parameters=7.98M, Evaluation Protocol=4-fold cross-validation2025.08 | 0.2411 | 0.8112 | |
| KNNMethod Category=Interpolate, Evaluation Protocol=4-fold cross-validation2025.08 | 0.3848 | 0.7132 | |
| istarMethod Category=ST-based, Learnable Parameters=0.4M, Evaluation Protocol=4-fold cross-validation2025.08 | 0.3986 | 0.7194 | |
| ViT-BMethod Category=Image Feature, Learnable Parameters=85.8M, Evaluation Protocol=4-fold cross-validation2025.08 | 0.4056 | 0.6952 | |
| NearestMethod Category=Interpolate, Evaluation Protocol=4-fold cross-validation2025.08 | 0.6517 | 0.6099 |