Slide-level gene expression estimation on TCGA-KIRC
0.291PCCCPNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CPNNLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.291 | 0.318 | |
| tRNAformerLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.283 | 0.291 | |
| HE2RNALearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.274 | 0.292 | |
| SEQUOIA VISLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.267 | 0.272 | |
| ILRALearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.261 | 0.276 | |
| AbMILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.258 | 0.26 | |
| SRMambaMILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.244 | 0.251 | |
| AbRegLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.242 | 0.244 | |
| MOSBYLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.241 | 0.271 | |
| S4MILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.225 | 0.231 | |
| 2DMambaLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.219 | 0.229 | |
| MambaMILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.212 | 0.224 | |
| MeanLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.211 | 0.217 | |
| MaxLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.162 | 0.161 |