Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
@@ -6,9 +6,10 @@ tags:
|
|
6 |
- genomics
|
7 |
- single-cell
|
8 |
- model_cls_name:SCVI
|
9 |
-
- scvi_version:1.2.
|
10 |
- anndata_version:0.11.1
|
11 |
- modality:rna
|
|
|
12 |
- annotated:False
|
13 |
---
|
14 |
|
@@ -50,10 +51,10 @@ space might still be useful for analysis.
|
|
50 |
|
51 |
| Metric | Training Value | Validation Value |
|
52 |
|-------------------------|----------------|------------------|
|
53 |
-
| Mean Absolute Error |
|
54 |
-
| Pearson Correlation |
|
55 |
-
| Spearman Correlation |
|
56 |
-
| R² (R-Squared) | -
|
57 |
|
58 |
The gene-wise coefficient of variation summarizes how well variation between different genes is
|
59 |
preserved by the generated model expression. This value is usually quite high.
|
@@ -63,9 +64,9 @@ preserved by the generated model expression. This value is usually quite high.
|
|
63 |
| Metric | Training Value |
|
64 |
|-------------------------|----------------|
|
65 |
| Mean Absolute Error | 1.07 |
|
66 |
-
| Pearson Correlation |
|
67 |
-
| Spearman Correlation |
|
68 |
-
| R² (R-Squared) | -2.
|
69 |
|
70 |
</details>
|
71 |
|
@@ -82,18 +83,17 @@ cell-type.
|
|
82 |
|
83 |
| Index | gene_f1 | lfc_mae | lfc_pearson | lfc_spearman | roc_auc | pr_auc | n_cells |
|
84 |
| --- | --- | --- | --- | --- | --- | --- | --- |
|
85 |
-
| 0 | 1.00 | 0.
|
86 |
-
| 1 | 1.00 | 0.
|
87 |
-
| 2 | 1.00 | 0.
|
88 |
-
| 3 | 1.00 |
|
89 |
-
| 4 | 1.00 | 0.
|
90 |
-
| 5 | 1.00 | 0.
|
91 |
-
| 6 | 1.00 |
|
92 |
-
| 7 | 1.00 | 1.01 | 0.
|
93 |
-
| 8 | 1.00 |
|
94 |
-
| 9 | 1.00 | 1.
|
95 |
-
| 10 | 1.00 | 1.
|
96 |
-
| 11 | 1.00 | 1.97 | -0.01 | -0.08 | 0.53 | 0.32 | 12.00 |
|
97 |
|
98 |
</details>
|
99 |
|
@@ -183,4 +183,4 @@ training process, the code is available at the link below.
|
|
183 |
|
184 |
# References
|
185 |
|
186 |
-
|
|
|
6 |
- genomics
|
7 |
- single-cell
|
8 |
- model_cls_name:SCVI
|
9 |
+
- scvi_version:1.2.0
|
10 |
- anndata_version:0.11.1
|
11 |
- modality:rna
|
12 |
+
- tissue:synthetic
|
13 |
- annotated:False
|
14 |
---
|
15 |
|
|
|
51 |
|
52 |
| Metric | Training Value | Validation Value |
|
53 |
|-------------------------|----------------|------------------|
|
54 |
+
| Mean Absolute Error | 1.03 | 1.03 |
|
55 |
+
| Pearson Correlation | 0.04 | 0.30 |
|
56 |
+
| Spearman Correlation | 0.02 | 0.29 |
|
57 |
+
| R² (R-Squared) | -26.25 | -33.18 |
|
58 |
|
59 |
The gene-wise coefficient of variation summarizes how well variation between different genes is
|
60 |
preserved by the generated model expression. This value is usually quite high.
|
|
|
64 |
| Metric | Training Value |
|
65 |
|-------------------------|----------------|
|
66 |
| Mean Absolute Error | 1.07 |
|
67 |
+
| Pearson Correlation | 0.15 |
|
68 |
+
| Spearman Correlation | 0.18 |
|
69 |
+
| R² (R-Squared) | -2.81 |
|
70 |
|
71 |
</details>
|
72 |
|
|
|
83 |
|
84 |
| Index | gene_f1 | lfc_mae | lfc_pearson | lfc_spearman | roc_auc | pr_auc | n_cells |
|
85 |
| --- | --- | --- | --- | --- | --- | --- | --- |
|
86 |
+
| 0 | 1.00 | 0.87 | 0.04 | 0.06 | 0.50 | 0.33 | 51.00 |
|
87 |
+
| 1 | 1.00 | 0.80 | 0.18 | 0.11 | 0.41 | 0.17 | 49.00 |
|
88 |
+
| 2 | 1.00 | 0.90 | 0.03 | 0.09 | 0.64 | 0.39 | 42.00 |
|
89 |
+
| 3 | 1.00 | 1.00 | -0.16 | -0.13 | 0.41 | 0.32 | 41.00 |
|
90 |
+
| 4 | 1.00 | 0.90 | 0.11 | 0.08 | 0.41 | 0.22 | 41.00 |
|
91 |
+
| 5 | 1.00 | 0.92 | 0.05 | 0.08 | 0.47 | 0.33 | 40.00 |
|
92 |
+
| 6 | 1.00 | 0.94 | 0.02 | 0.01 | 0.49 | 0.34 | 36.00 |
|
93 |
+
| 7 | 1.00 | 1.01 | -0.07 | -0.05 | 0.49 | 0.21 | 36.00 |
|
94 |
+
| 8 | 1.00 | 1.13 | 0.01 | 0.02 | 0.49 | 0.13 | 25.00 |
|
95 |
+
| 9 | 1.00 | 1.18 | 0.16 | 0.09 | 0.42 | 0.25 | 22.00 |
|
96 |
+
| 10 | 1.00 | 1.31 | -0.01 | 0.02 | 0.54 | 0.27 | 17.00 |
|
|
|
97 |
|
98 |
</details>
|
99 |
|
|
|
183 |
|
184 |
# References
|
185 |
|
186 |
+
scvi-tools team
|