Slide-level gene expression estimation on TCGA-LUAD
0.28PCCMambaMIL
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MambaMILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.28 | 0.284 | |
| SRMambaMILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.276 | 0.286 | |
| CPNNLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.271 | 0.304 | |
| HE2RNALearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.267 | 0.285 | |
| tRNAformerLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.262 | 0.282 | |
| AbMILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.261 | 0.27 | |
| MOSBYLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.259 | 0.274 | |
| SEQUOIA VISLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.252 | 0.258 | |
| 2DMambaLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.249 | 0.251 | |
| ILRALearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.245 | 0.283 | |
| S4MILLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.243 | 0.252 | |
| AbRegLearning Paradigm=MIR, Feature Extractor=CONCH2026.03 | 0.243 | 0.251 | |
| MeanLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.203 | 0.213 | |
| MaxLearning Paradigm=MIL, Feature Extractor=CONCH2026.03 | 0.17 | 0.173 |