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scvi-tools
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tabula-sapiens-blood-scanvi

TensorBoard
scvi-tools
biology
genomics
single-cell
model_cls_name:SCANVI
scvi_version:1.2.0
anndata_version:0.11.1
modality:rna
tissue:various
annotated:True
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@@ -54,7 +54,7 @@ space might still be useful for analysis.
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  | Metric | Training Value | Validation Value |
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  |-------------------------|----------------|------------------|
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- | Mean Absolute Error | 1.24 | 1.26 |
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  | Pearson Correlation | 0.99 | 0.99 |
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  | Spearman Correlation | 0.96 | 0.96 |
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  | R² (R-Squared) | 0.98 | 0.98 |
@@ -66,10 +66,10 @@ preserved by the generated model expression. This value is usually quite high.
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  | Metric | Training Value |
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  |-------------------------|----------------|
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- | Mean Absolute Error | 23.59 |
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  | Pearson Correlation | 0.72 |
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- | Spearman Correlation | 0.77 |
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- | R² (R-Squared) | -0.67 |
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  </details>
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@@ -86,24 +86,24 @@ cell-type.
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  | Index | gene_f1 | lfc_mae | lfc_pearson | lfc_spearman | roc_auc | pr_auc | n_cells |
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  | --- | --- | --- | --- | --- | --- | --- | --- |
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- | erythrocyte | 0.97 | 1.11 | 0.70 | 0.87 | 0.09 | 0.97 | 10061.00 |
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- | neutrophil | 0.98 | 1.10 | 0.71 | 0.93 | 0.22 | 0.90 | 8432.00 |
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- | classical monocyte | 0.94 | 0.53 | 0.76 | 0.97 | 0.62 | 0.95 | 7211.00 |
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- | mature NK T cell | 0.95 | 1.39 | 0.62 | 0.92 | 0.63 | 0.93 | 2332.00 |
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- | naive B cell | 0.97 | 1.83 | 0.60 | 0.86 | 0.48 | 0.88 | 1526.00 |
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- | CD8-positive, alpha-beta cytokine secreting effector T cell | 0.93 | 1.45 | 0.67 | 0.89 | 0.64 | 0.93 | 1493.00 |
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- | CD4-positive, alpha-beta memory T cell | 0.95 | 1.55 | 0.59 | 0.87 | 0.58 | 0.88 | 949.00 |
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- | memory B cell | 0.98 | 1.87 | 0.67 | 0.86 | 0.54 | 0.88 | 597.00 |
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- | type I NK T cell | 0.90 | 2.23 | 0.63 | 0.81 | 0.61 | 0.89 | 518.00 |
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- | plasma cell | 0.74 | 1.29 | 0.76 | 0.95 | 0.61 | 0.94 | 487.00 |
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- | naive thymus-derived CD4-positive, alpha-beta T cell | 0.93 | 2.64 | 0.61 | 0.80 | 0.46 | 0.82 | 412.00 |
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- | CD8-positive, alpha-beta T cell | 0.96 | 2.15 | 0.65 | 0.82 | 0.58 | 0.88 | 376.00 |
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- | platelet | 0.76 | 2.74 | 0.70 | 0.82 | 0.41 | 0.83 | 239.00 |
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- | hematopoietic stem cell | 0.91 | 2.79 | 0.66 | 0.76 | 0.64 | 0.90 | 47.00 |
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- | T cell | 0.94 | 3.88 | 0.61 | 0.51 | 0.54 | 0.77 | 31.00 |
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- | basophil | 0.86 | 2.97 | 0.70 | 0.79 | 0.60 | 0.88 | 29.00 |
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- | CD141-positive myeloid dendritic cell | 0.88 | 4.59 | 0.61 | 0.62 | 0.49 | 0.76 | 15.00 |
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- | plasmacytoid dendritic cell | 0.84 | 5.23 | 0.55 | 0.49 | 0.47 | 0.72 | 11.00 |
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  </details>
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@@ -198,7 +198,7 @@ scvi-tools documentation for details. -->
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  If provided by the original uploader, for those interested in understanding or replicating the
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  training process, the code is available at the link below.
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- **Training Code URL**: Not provided by uploader
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  </details>
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  | Metric | Training Value | Validation Value |
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  |-------------------------|----------------|------------------|
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+ | Mean Absolute Error | 1.24 | 1.25 |
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  | Pearson Correlation | 0.99 | 0.99 |
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  | Spearman Correlation | 0.96 | 0.96 |
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  | R² (R-Squared) | 0.98 | 0.98 |
 
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  | Metric | Training Value |
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  |-------------------------|----------------|
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+ | Mean Absolute Error | 23.70 |
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  | Pearson Correlation | 0.72 |
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+ | Spearman Correlation | 0.78 |
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+ | R² (R-Squared) | -0.70 |
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  </details>
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  | Index | gene_f1 | lfc_mae | lfc_pearson | lfc_spearman | roc_auc | pr_auc | n_cells |
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  | --- | --- | --- | --- | --- | --- | --- | --- |
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+ | erythrocyte | 0.97 | 1.08 | 0.71 | 0.88 | 0.09 | 0.98 | 10061.00 |
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+ | neutrophil | 0.97 | 1.02 | 0.74 | 0.95 | 0.21 | 0.90 | 8432.00 |
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+ | classical monocyte | 0.94 | 0.56 | 0.73 | 0.97 | 0.62 | 0.95 | 7211.00 |
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+ | mature NK T cell | 0.95 | 1.34 | 0.65 | 0.92 | 0.62 | 0.93 | 2332.00 |
93
+ | naive B cell | 0.97 | 1.70 | 0.63 | 0.87 | 0.47 | 0.87 | 1526.00 |
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+ | CD8-positive, alpha-beta cytokine secreting effector T cell | 0.94 | 1.60 | 0.62 | 0.87 | 0.64 | 0.93 | 1493.00 |
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+ | CD4-positive, alpha-beta memory T cell | 0.95 | 1.64 | 0.56 | 0.86 | 0.58 | 0.88 | 949.00 |
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+ | memory B cell | 0.98 | 2.07 | 0.62 | 0.86 | 0.54 | 0.88 | 597.00 |
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+ | type I NK T cell | 0.90 | 2.31 | 0.62 | 0.79 | 0.62 | 0.89 | 518.00 |
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+ | plasma cell | 0.76 | 1.25 | 0.77 | 0.95 | 0.61 | 0.94 | 487.00 |
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+ | naive thymus-derived CD4-positive, alpha-beta T cell | 0.95 | 2.45 | 0.64 | 0.80 | 0.46 | 0.82 | 412.00 |
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+ | CD8-positive, alpha-beta T cell | 0.94 | 2.07 | 0.66 | 0.82 | 0.57 | 0.87 | 376.00 |
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+ | platelet | 0.77 | 2.74 | 0.70 | 0.81 | 0.42 | 0.83 | 239.00 |
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+ | hematopoietic stem cell | 0.93 | 2.67 | 0.68 | 0.77 | 0.65 | 0.90 | 47.00 |
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+ | T cell | 0.93 | 3.83 | 0.62 | 0.51 | 0.55 | 0.77 | 31.00 |
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+ | basophil | 0.87 | 3.13 | 0.68 | 0.77 | 0.62 | 0.88 | 29.00 |
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+ | CD141-positive myeloid dendritic cell | 0.90 | 4.76 | 0.59 | 0.60 | 0.50 | 0.76 | 15.00 |
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+ | plasmacytoid dendritic cell | 0.85 | 5.24 | 0.55 | 0.49 | 0.46 | 0.72 | 11.00 |
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  </details>
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  If provided by the original uploader, for those interested in understanding or replicating the
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  training process, the code is available at the link below.
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+ **Training Code URL**: https://github.com/YosefLab/scvi-hub-models/blob/main/src/scvi_hub_models/TS_train_all_tissues.ipynb
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  </details>
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