Cell Type Classification on Tabula Sapiens 2.0 (test)
80.4F1 ScorescLDM (20M)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| scLDM (20M)Number of Parameters=20M, Evaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 80.4 | 80.5 | 81.2 | |
| scLDM (70M)Number of Parameters=70M, Evaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 80.2 | 80.2 | 81 | |
| scLDM (270M)Number of Parameters=270M, Evaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 80.2 | 80.3 | 81.1 | |
| scGPTEvaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 80 | 80.2 | 80.6 | |
| scVIEvaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 79.9 | 79.4 | 81.4 | |
| TranscriptFormerEvaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 79.9 | 80 | 80.2 | |
| UCEEvaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 79.6 | 79.7 | 80.1 | |
| GeneformerEvaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 77.7 | 77.6 | 78.6 | |
| AIDO.CellEvaluation Protocol=multinomial logistic regression, Embedding Dimensionality=128 (PCA-reduced)2025.11 | 72.4 | 71.5 | 74.8 |