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@@ -50,10 +50,10 @@ 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 | 1.02 | 0.97 |
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- | Pearson Correlation | -0.03 | 0.22 |
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- | Spearman Correlation | -0.02 | 0.18 |
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- | R² (R-Squared) | -12.57 | -15.25 |
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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.
@@ -63,9 +63,9 @@ 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 | 1.07 |
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- | Pearson Correlation | -0.10 |
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- | Spearman Correlation | 0.01 |
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- | R² (R-Squared) | -2.36 |
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  </details>
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@@ -82,18 +82,18 @@ 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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- | 0 | 0.10 | 0.89 | -0.01 | -0.02 | 0.47 | 0.37 | 50.00 |
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- | 1 | 0.10 | 0.88 | 0.02 | -0.08 | 0.42 | 0.20 | 48.00 |
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- | 2 | 0.00 | 0.99 | -0.03 | -0.01 | 0.43 | 0.31 | 41.00 |
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- | 3 | 0.10 | 0.96 | -0.01 | -0.01 | 0.48 | 0.28 | 39.00 |
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- | 4 | 0.10 | 0.95 | -0.08 | -0.04 | 0.45 | 0.22 | 37.00 |
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- | 5 | 0.00 | 0.98 | -0.04 | -0.06 | 0.39 | 0.16 | 37.00 |
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- | 6 | 0.10 | 1.02 | -0.09 | -0.09 | 0.42 | 0.13 | 32.00 |
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- | 7 | 0.00 | 1.09 | -0.14 | -0.13 | 0.52 | 0.17 | 31.00 |
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- | 8 | 0.00 | 0.96 | 0.05 | 0.11 | 0.43 | 0.18 | 28.00 |
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- | 9 | 0.10 | 1.22 | -0.05 | -0.10 | 0.49 | 0.34 | 26.00 |
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- | 10 | 0.20 | 1.12 | 0.12 | 0.13 | 0.51 | 0.29 | 19.00 |
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- | 11 | 0.10 | 1.60 | -0.03 | -0.03 | 0.42 | 0.24 | 12.00 |
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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 | 0.99 | 1.03 |
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+ | Pearson Correlation | -0.07 | -0.20 |
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+ | Spearman Correlation | -0.07 | -0.03 |
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+ | R² (R-Squared) | -14.43 | -12.71 |
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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 | 1.07 |
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+ | Pearson Correlation | -0.12 |
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+ | Spearman Correlation | -0.00 |
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+ | R² (R-Squared) | -2.15 |
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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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+ | 0 | 0.00 | 0.90 | 0.06 | 0.05 | 0.47 | 0.34 | 50.00 |
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+ | 1 | 0.00 | 0.94 | -0.10 | -0.10 | 0.34 | 0.16 | 48.00 |
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+ | 2 | 0.10 | 0.94 | -0.02 | -0.03 | 0.53 | 0.37 | 41.00 |
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+ | 3 | 0.20 | 0.82 | 0.17 | 0.15 | 0.56 | 0.36 | 39.00 |
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+ | 4 | 0.00 | 0.99 | 0.03 | -0.02 | 0.34 | 0.16 | 37.00 |
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+ | 5 | 0.40 | 0.95 | 0.07 | 0.04 | 0.64 | 0.36 | 37.00 |
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+ | 6 | 0.20 | 1.04 | -0.14 | -0.15 | 0.48 | 0.23 | 32.00 |
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+ | 7 | 0.30 | 1.01 | 0.14 | 0.13 | 0.52 | 0.19 | 31.00 |
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+ | 8 | 0.10 | 0.99 | 0.04 | 0.07 | 0.54 | 0.23 | 28.00 |
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+ | 9 | 0.10 | 1.09 | 0.05 | 0.04 | 0.45 | 0.28 | 26.00 |
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+ | 10 | 0.10 | 1.21 | 0.09 | 0.10 | 0.54 | 0.24 | 19.00 |
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+ | 11 | 0.00 | 1.97 | -0.01 | -0.08 | 0.53 | 0.32 | 12.00 |
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  </details>
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