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 | 53 | 2 | 3 | 16 |
| dimensionality reduction | 553 | 26 | 6 | 1 |
| label projection | 149 | |||
| matching modalities | 66 | |||
| perturbation prediction | 161 | 2 | ||
| spatial decomposition | 77 | 1 | 1 | |
| spatially variable genes | 107 | 15 | 1 | 1 |
Detailed
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| Task | Category | Name | Value | Condition | Severity |
|---|---|---|---|---|---|
| denoising | Scaling | Worst score alra poisson | -17.3505000 | worst_score >= -1 | ✗✗✗ |
| denoising | Scaling | Worst score knn_smoothing poisson | -13.4420000 | worst_score >= -1 | ✗✗✗ |
| denoising | Raw results | Dataset ‘cellxgene_census/hcla’ %missing | 1.0000000 | pct_missing <= .1 | ✗✗✗ |
| denoising | Raw results | Dataset ‘cellxgene_census/hypomap’ %missing | 1.0000000 | pct_missing <= .1 | ✗✗✗ |
| denoising | Raw results | Dataset ‘cellxgene_census/tabula_sapiens’ %missing | 1.0000000 | pct_missing <= .1 | ✗✗✗ |
| denoising | Scaling | Worst score alra mse | -9.9708000 | worst_score >= -1 | ✗✗✗ |
| denoising | Scaling | Worst score dca mse | -8.5238000 | worst_score >= -1 | ✗✗✗ |
| spatially variable genes | Raw results | Method ‘boostgp’ %missing | 0.8000000 | pct_missing <= .1 | ✗✗✗ |
| denoising | Scaling | Worst score magic mse | -7.6749000 | worst_score >= -1 | ✗✗✗ |
| denoising | Scaling | Worst score knn_smoothing mse | -7.5261000 | worst_score >= -1 | ✗✗✗ |
| denoising | Raw results | Dataset ‘cellxgene_census/immune_cell_atlas’ %missing | 0.6666667 | pct_missing <= .1 | ✗✗✗ |
| denoising | Raw results | Dataset ‘cellxgene_census/mouse_pancreas_atlas’ %missing | 0.6666667 | pct_missing <= .1 | ✗✗✗ |
| dimensionality reduction | Raw results | Dataset ‘zebrafish_labs’ %missing | 0.6000000 | pct_missing <= .1 | ✗✗✗ |
| denoising | Raw results | Dataset ‘cellxgene_census/gtex_v9’ %missing | 0.5000000 | pct_missing <= .1 | ✗✗✗ |
| spatial decomposition | Scaling | Worst score seuratv3 r2 | -4.8476947 | worst_score >= -1 | ✗✗✗ |
| denoising | Raw results | Method ‘alra’ %missing | 0.3529412 | pct_missing <= .1 | ✗✗✗ |
| denoising | Raw results | Method ‘knn_smoothing’ %missing | 0.3529412 | pct_missing <= .1 | ✗✗✗ |
| denoising | Raw results | Method ‘magic’ %missing | 0.3529412 | pct_missing <= .1 | ✗✗✗ |
| denoising | Scaling | Best score knn_smoothing poisson | 6.2850000 | best_score <= 2 | ✗✗✗ |
| perturbation prediction | Method info | Pct ‘paper_reference’ missing | 0.4166667 | percent_missing(method_info, field) | ✗✗ |
| perturbation prediction | Metric info | Pct ‘paper_reference’ missing | 1.0000000 | percent_missing(metric_info, field) | ✗✗ |
| denoising | Raw results | Method ‘dca’ %missing | 0.2941176 | pct_missing <= .1 | ✗✗ |
| denoising | Raw results | Metric ‘mse’ %missing | 0.2843137 | pct_missing <= .1 | ✗✗ |
| denoising | Raw results | Metric ‘poisson’ %missing | 0.2843137 | pct_missing <= .1 | ✗✗ |
| spatial decomposition | Scaling | Worst score tangram r2 | -2.6383322 | worst_score >= -1 | ✗✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_cortex_merfish’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘continuity’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘lcmc’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qglobal’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qlocal’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qnn’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| dimensionality reduction | Raw results | Metric ‘qnn_auc’ %missing | 0.2500000 | pct_missing <= .1 | ✗✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/drosophila_embryo_e5_6’ %missing | 0.1875000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_cortex_slideseqv2’ %missing | 0.1875000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_organogenesis_seqfish’ %missing | 0.1875000 | pct_missing <= .1 | ✗ |
| denoising | Raw results | Method ‘no_denoising’ %missing | 0.1764706 | pct_missing <= .1 | ✗ |
| denoising | Raw results | Method ‘perfect_denoising’ %missing | 0.1764706 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_pca_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘densmap_pca_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘diffusion_map’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘neuralee_default’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘neuralee_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pca_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pca_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_default’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘phate_sqrt’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_distances_log_cp10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_distances_log_cp10k_hvg’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_neighbors_log_cp10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘pymde_neighbors_log_cp10k_hvg’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘random_features’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘spectral_features’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘true_features’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘tsne_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘tsne_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_pca_logCP10k’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| dimensionality reduction | Raw results | Method ‘umap_pca_logCP10k_1kHVG’ %missing | 0.1500000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Method ‘spark’ %missing | 0.1400000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘10x_datasets/human_breast_cancer_1_visium’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/drosophila_embryo_e10_stereoseq’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/drosophila_embryo_e6_3_stereoseq’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/drosophila_embryo_e7_stereoseq’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/drosophila_embryo_e9_1_stereoseq’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_cerebellum_slideseqv2’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_hippocampus_puck_slideseqv2’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_olfactory_bulb_puck_slideseqv2’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial/mouse_somatosensory_cortex_puck_slideseqv2’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Dataset ‘zenodo_spatial_slidetags/human_skin_melanoma_slidetags’ %missing | 0.1250000 | pct_missing <= .1 | ✗ |
| spatially variable genes | Raw results | Method ‘somde’ %missing | 0.1200000 | pct_missing <= .1 | ✗ |