Quality control
Summary
| Task | ✓ | ✗ | ✗✗ | ✗✗✗ |
|---|---|---|---|---|
| batch integration embed | 837 | |||
| batch integration feature | 546 | |||
| batch integration graph | 438 | |||
| cell cell communication ligand target | 109 | |||
| cell cell communication source target | 109 | |||
| denoising | 84 | 1 | 1 | |
| dimensionality reduction | 553 | 26 | 6 | 1 |
| label projection | 149 | |||
| matching modalities | 66 | |||
| regulatory effect prediction | 42 | 1 | 1 | |
| spatial decomposition | 77 | 1 | 1 |
Detailed
Tip
The tooltip contains some more details on the QC check.
| Task | Category | Name | Value | Condition | Severity |
|---|---|---|---|---|---|
| denoising | Scaling | Worst score knn_smoothing poisson | -10.298315 | worst_score >= -1 | ✗✗✗ |
| dimensionality reduction | Raw results | Dataset ‘zebrafish_labs’ %missing | 0.600000 | pct_missing <= .1 | ✗✗✗ |
| spatial decomposition | Scaling | Worst score seuratv3 r2 | -4.847695 | worst_score >= -1 | ✗✗✗ |
| regulatory effect prediction | Scaling | Worst score beta pearson_correlation | -3.329978 | worst_score >= -1 | ✗✗✗ |
| regulatory effect prediction | Task info | Pct ‘task_description’ missing | 1.000000 | percent_missing([task_info], field) | ✗✗ |
| spatial decomposition | Scaling | Worst score tangram r2 | -2.638332 | worst_score >= -1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘continuity’ %missing | 0.250000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘lcmc’ %missing | 0.250000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qglobal’ %missing | 0.250000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qlocal’ %missing | 0.250000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qnn_auc’ %missing | 0.250000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qnn’ %missing | 0.250000 | pct_missing <= .1 | ✗✗ |
| denoising | Scaling | Worst score alra_sqrt poisson | -2.301203 | worst_score >= -1 | ✗✗ |
| dimensionality reduction | Raw results | Method ‘densmap_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_pca_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_pca_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘diffusion_map’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘neuralee_default’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘neuralee_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pca_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pca_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_default’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_sqrt’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_distances_log_cp10k_hvg’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_distances_log_cp10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_neighbors_log_cp10k_hvg’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_neighbors_log_cp10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘random_features’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘spectral_features’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘true_features’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘tsne_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘tsne_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_pca_logCP10k_1kHVG’ %missing | 0.150000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_pca_logCP10k’ %missing | 0.150000 | pct_missing <= .1 | ✗ |