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README.md
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| Metric | Training Value | Validation Value |
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|-------------------------|----------------|------------------|
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| Mean Absolute Error | 2.40 | 2.
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| Pearson Correlation | 0.
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| Spearman Correlation | 0.69 | 0.71 |
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| R² (R-Squared) | 0.
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The gene-wise coefficient of variation summarizes how well variation between different genes is
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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 |
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| Pearson Correlation | 0.62 |
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| Spearman Correlation | 0.65 |
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| R² (R-Squared) | -1.
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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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| luminal epithelial cell of mammary gland | 0.
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| T cell | 0.
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| fibroblast of breast | 0.
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| basal cell | 0.
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| vein endothelial cell | 0.
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| macrophage | 0.
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| plasma cell | 0.78 | 3.
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| endothelial cell of artery | 0.
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| pericyte | 0.85 | 4.
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| vascular associated smooth muscle cell | 0.
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| B cell | 0.
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| endothelial cell of lymphatic vessel | 0.
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| mature NK T cell | 0.
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| mast cell | 0.
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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**:
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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 | 2.40 | 2.40 |
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| Pearson Correlation | 0.73 | 0.74 |
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| Spearman Correlation | 0.69 | 0.71 |
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| R² (R-Squared) | 0.26 | 0.33 |
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The gene-wise coefficient of variation summarizes how well variation between different genes is
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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 | 16.01 |
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| Pearson Correlation | 0.62 |
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| Spearman Correlation | 0.65 |
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| R² (R-Squared) | -1.69 |
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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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| luminal epithelial cell of mammary gland | 0.91 | 0.61 | 0.82 | 0.97 | 0.47 | 0.91 | 5378.00 |
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| T cell | 0.93 | 1.99 | 0.60 | 0.84 | 0.18 | 0.83 | 2324.00 |
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| fibroblast of breast | 0.90 | 1.17 | 0.73 | 0.94 | 0.44 | 0.89 | 2066.00 |
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| basal cell | 0.92 | 2.63 | 0.67 | 0.80 | 0.31 | 0.72 | 476.00 |
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| vein endothelial cell | 0.85 | 3.26 | 0.65 | 0.80 | 0.39 | 0.79 | 263.00 |
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| macrophage | 0.75 | 3.23 | 0.66 | 0.78 | 0.33 | 0.79 | 219.00 |
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| plasma cell | 0.78 | 3.14 | 0.64 | 0.73 | 0.19 | 0.86 | 194.00 |
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| endothelial cell of artery | 0.82 | 4.08 | 0.61 | 0.74 | 0.40 | 0.75 | 168.00 |
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| pericyte | 0.85 | 4.56 | 0.60 | 0.62 | 0.38 | 0.71 | 106.00 |
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| vascular associated smooth muscle cell | 0.73 | 5.18 | 0.57 | 0.56 | 0.40 | 0.72 | 71.00 |
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| B cell | 0.61 | 7.43 | 0.41 | 0.37 | 0.38 | 0.74 | 43.00 |
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| endothelial cell of lymphatic vessel | 0.63 | 6.07 | 0.53 | 0.48 | 0.39 | 0.70 | 32.00 |
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| mature NK T cell | 0.53 | 6.14 | 0.43 | 0.41 | 0.34 | 0.78 | 19.00 |
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| mast cell | 0.27 | 6.78 | 0.39 | 0.33 | 0.40 | 0.75 | 16.00 |
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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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