Quality control

Summary

Task	✓	✗	✗✗	✗✗✗
cell cell communication ligand target	109
cell cell communication source target	109
denoising	84		1	1
dimensionality reduction	553	26	6	1
matching modalities	66
spatial decomposition	77		1	1
task batch integration	701	19	11	15
task label projection	186	3	8	9
task perturbation prediction	160		3
task predict modality	182	5	6	1
task spatial simulators	366	38	11	73
task spatially variable genes	102	17	4	1

Detailed

Tip

The tooltip contains some more details on the QC check.

Task	Category	Name	Value	Condition	Severity
task spatial simulators	Scaling	Worst score scdesign2 ks_statistic_enrichment_scalef	-129.8837000	worst_score >= -1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign3_poisson ks_statistic_enrichment_scalef	-59.2387000	worst_score >= -1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign3_poisson ks_statistic_morans_I	-54.6940000	worst_score >= -1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign3_poisson ks_statistic_nn_correlation	-20.3592000	worst_score >= -1	✗✗✗
task batch integration	Scaling	Best score bbknn ilisi	35.0348000	best_score <= 2	✗✗✗
task spatial simulators	Scaling	Worst score scdesign2 ks_statistic_central_score_scalef	-12.7374000	worst_score >= -1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign2 ks_statistic_transition_scalef	-12.4357000	worst_score >= -1	✗✗✗
denoising	Scaling	Worst score knn_smoothing poisson	-10.2983151	worst_score >= -1	✗✗✗
task label projection	Raw results	Method ‘geneformer’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Method ‘scgpt_finetuned’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task label projection	Raw results	Method ‘scgpt_finetuned’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Method ‘scprint’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task label projection	Raw results	Method ‘scprint’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_efflib_size_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_efflib_size_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_frac_zero_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_frac_zero_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_frac_zero_genes_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_frac_zero_genes_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_lib_fraczero_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_lib_fraczero_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_lib_size_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_lib_size_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_mean_fraczero_genes_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_mean_fraczero_genes_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_mean_var_genes_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_mean_var_genes_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_pearson_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_pearson_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_pearson_genes_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_pearson_genes_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_mean_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_mean_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_mean_genes_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_mean_genes_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_var_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_var_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_var_genes_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_scaled_var_genes_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_tmm_cells_tstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_tmm_cells_zstat’ %missing	1.0000000	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Method ‘batchelor_mnn_correct’ %missing	0.8589744	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Method ‘mnnpy’ %missing	0.8589744	pct_missing <= .1	✗✗✗
task spatially variable genes	Raw results	Method ‘boostgp’ %missing	0.7800000	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Metric ‘hvg_overlap’ %missing	0.7564103	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘scdesign3_nb’ %missing	0.7521739	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘gastrulation’ %missing	0.7430830	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘brain’ %missing	0.7371542	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘pdac’ %missing	0.7233202	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘prostate’ %missing	0.7173913	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘hindlimbmuscle’ %missing	0.7015810	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘scdesign3_poisson’ %missing	0.6978261	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘scdesign2’ %missing	0.6913043	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘negative_shuffle’ %missing	0.6891304	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘splatter’ %missing	0.6739130	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘symsim’ %missing	0.6739130	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘sparsim’ %missing	0.6717391	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘breast’ %missing	0.6699605	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘srtsim’ %missing	0.6695652	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘zinbwave’ %missing	0.6695652	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘negative_normal’ %missing	0.6652174	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Method ‘positive’ %missing	0.6478261	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘cortex’ %missing	0.6462451	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘fibrosarcoma’ %missing	0.6343874	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘olfactorybulb’ %missing	0.6284585	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Dataset ‘osteosarcoma’ %missing	0.6185771	pct_missing <= .1	✗✗✗
dimensionality reduction	Raw results	Dataset ‘zebrafish_labs’ %missing	0.6000000	pct_missing <= .1	✗✗✗
task spatial simulators	Scaling	Best score sparsim ks_statistic_enrichment_scalef	11.5541000	best_score <= 2	✗✗✗
task spatial simulators	Scaling	Best score symsim ks_statistic_enrichment_scalef	11.4882000	best_score <= 2	✗✗✗
task spatial simulators	Scaling	Best score splatter ks_statistic_enrichment_scalef	11.4715000	best_score <= 2	✗✗✗
task batch integration	Raw results	Method ‘bbknn’ %missing	0.5512821	pct_missing <= .1	✗✗✗
spatial decomposition	Scaling	Worst score seuratv3 r2	-4.8476947	worst_score >= -1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign3_poisson ks_statistic_central_score_scalef	-4.4044000	worst_score >= -1	✗✗✗
task batch integration	Raw results	Method ‘geneformer’ %missing	0.4102564	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Method ‘scgpt_zeroshot’ %missing	0.4102564	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Method ‘scimilarity’ %missing	0.4102564	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Metric ‘kbet’ %missing	0.4038462	pct_missing <= .1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign3_poisson ks_statistic_transition_scalef	-4.0175000	worst_score >= -1	✗✗✗
task spatial simulators	Raw results	Metric ‘crosscor_cosine’ %missing	0.4000000	pct_missing <= .1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign2 ks_statistic_enrichment	-4.0000000	worst_score >= -1	✗✗✗
task spatial simulators	Scaling	Worst score scdesign3_poisson ks_statistic_enrichment	-4.0000000	worst_score >= -1	✗✗✗
task spatial simulators	Raw results	Metric ‘svg_precision’ %missing	0.3818182	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Dataset ‘cellxgene_census/hypomap’ %missing	0.3786982	pct_missing <= .1	✗✗✗
task spatial simulators	Scaling	Worst score sparsim ks_statistic_morans_I	-3.7508000	worst_score >= -1	✗✗✗
task label projection	Raw results	Dataset ‘cellxgene_census/mouse_pancreas_atlas’ %missing	0.3684211	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Metric ‘isolated_label_asw’ %missing	0.3653846	pct_missing <= .1	✗✗✗
task predict modality	Raw results	Dataset ‘openproblems_neurips2022/pbmc_multiome/swap’ %missing	0.3611111	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Dataset ‘cellxgene_census/mouse_pancreas_atlas’ %missing	0.3579882	pct_missing <= .1	✗✗✗
task spatial simulators	Scaling	Best score sparsim ks_statistic_central_score	7.0000000	best_score <= 2	✗✗✗
task spatial simulators	Scaling	Best score splatter ks_statistic_central_score	7.0000000	best_score <= 2	✗✗✗
task spatial simulators	Scaling	Best score symsim ks_statistic_central_score	7.0000000	best_score <= 2	✗✗✗
task spatial simulators	Scaling	Worst score sparsim ks_statistic_transition_scalef	-3.4773000	worst_score >= -1	✗✗✗
task label projection	Raw results	Method ‘scgpt_zeroshot’ %missing	0.3333333	pct_missing <= .1	✗✗✗
task label projection	Raw results	Method ‘scimilarity’ %missing	0.3333333	pct_missing <= .1	✗✗✗
task label projection	Raw results	Method ‘scimilarity_knn’ %missing	0.3333333	pct_missing <= .1	✗✗✗
task label projection	Raw results	Method ‘singler’ %missing	0.3333333	pct_missing <= .1	✗✗✗
task batch integration	Raw results	Metric ‘isolated_label_f1’ %missing	0.3333333	pct_missing <= .1	✗✗✗
task label projection	Raw results	Dataset ‘cellxgene_census/hypomap’ %missing	0.3157895	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_L_stats’ %missing	0.3090909	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_celltype_interaction’ %missing	0.3090909	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_morans_I’ %missing	0.3090909	pct_missing <= .1	✗✗✗
task spatial simulators	Raw results	Metric ‘ks_statistic_nn_correlation’ %missing	0.3090909	pct_missing <= .1	✗✗✗
task batch integration	Dataset info	Pct ‘task_id’ missing	1.0000000	percent_missing(dataset_info, field)	✗✗
task label projection	Dataset info	Pct ‘task_id’ missing	1.0000000	percent_missing(dataset_info, field)	✗✗
task perturbation prediction	Dataset info	Pct ‘task_id’ missing	1.0000000	percent_missing(dataset_info, field)	✗✗
task predict modality	Dataset info	Pct ‘task_id’ missing	1.0000000	percent_missing(dataset_info, field)	✗✗
task spatial simulators	Dataset info	Pct ‘task_id’ missing	1.0000000	percent_missing(dataset_info, field)	✗✗
task spatially variable genes	Dataset info	Pct ‘task_id’ missing	1.0000000	percent_missing(dataset_info, field)	✗✗
task batch integration	Method info	Pct ‘paper_reference’ missing	0.7307692	percent_missing(method_info, field)	✗✗
task label projection	Method info	Pct ‘paper_reference’ missing	0.8421053	percent_missing(method_info, field)	✗✗
task perturbation prediction	Method info	Pct ‘paper_reference’ missing	0.5000000	percent_missing(method_info, field)	✗✗
task predict modality	Method info	Pct ‘paper_reference’ missing	0.5555556	percent_missing(method_info, field)	✗✗
task spatial simulators	Method info	Pct ‘paper_reference’ missing	0.7272727	percent_missing(method_info, field)	✗✗
task spatially variable genes	Method info	Pct ‘paper_reference’ missing	0.8750000	percent_missing(method_info, field)	✗✗
task batch integration	Metric info	Pct ‘paper_reference’ missing	1.0000000	percent_missing(metric_info, field)	✗✗
task label projection	Metric info	Pct ‘paper_reference’ missing	1.0000000	percent_missing(metric_info, field)	✗✗
task perturbation prediction	Metric info	Pct ‘paper_reference’ missing	1.0000000	percent_missing(metric_info, field)	✗✗
task predict modality	Metric info	Pct ‘paper_reference’ missing	1.0000000	percent_missing(metric_info, field)	✗✗
task spatial simulators	Metric info	Pct ‘paper_reference’ missing	1.0000000	percent_missing(metric_info, field)	✗✗
task spatially variable genes	Metric info	Pct ‘paper_reference’ missing	1.0000000	percent_missing(metric_info, field)	✗✗
task batch integration	Raw results	Dataset ‘cellxgene_census/dkd’ %missing	0.2810651	pct_missing <= .1	✗✗
task spatial simulators	Scaling	Worst score zinbwave ks_statistic_L_stats	-2.7543000	worst_score >= -1	✗✗
task spatial simulators	Scaling	Worst score symsim ks_statistic_L_stats	-2.6781000	worst_score >= -1	✗✗
spatial decomposition	Scaling	Worst score tangram r2	-2.6383322	worst_score >= -1	✗✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/merfish/mouse_cortex’ %missing	0.2500000	pct_missing <= .1	✗✗
task predict modality	Raw results	Method ‘guanlab_dengkw_pm’ %missing	0.2500000	pct_missing <= .1	✗✗
task predict modality	Raw results	Method ‘zeros’ %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	✗✗
task spatial simulators	Scaling	Worst score scdesign2 ks_statistic_central_score	-2.5000000	worst_score >= -1	✗✗
task spatial simulators	Scaling	Worst score splatter ks_statistic_L_stats	-2.4967000	worst_score >= -1	✗✗
task spatial simulators	Scaling	Best score zinbwave ks_statistic_enrichment_scalef	4.8473000	best_score <= 2	✗✗
task predict modality	Scaling	Worst score lmds_irlba_rf overall_pearson	-2.4102000	worst_score >= -1	✗✗
task spatial simulators	Scaling	Worst score sparsim ks_statistic_L_stats	-2.4098000	worst_score >= -1	✗✗
task spatial simulators	Scaling	Worst score sparsim ks_statistic_nn_correlation	-2.3172000	worst_score >= -1	✗✗
denoising	Scaling	Worst score alra_sqrt poisson	-2.3012026	worst_score >= -1	✗✗
task label projection	Raw results	Metric ‘accuracy’ %missing	0.2280702	pct_missing <= .1	✗✗
task label projection	Raw results	Metric ‘f1_macro’ %missing	0.2280702	pct_missing <= .1	✗✗
task label projection	Raw results	Metric ‘f1_micro’ %missing	0.2280702	pct_missing <= .1	✗✗
task label projection	Raw results	Metric ‘f1_weighted’ %missing	0.2280702	pct_missing <= .1	✗✗
task batch integration	Raw results	Metric ‘asw_label’ %missing	0.2243590	pct_missing <= .1	✗✗
task batch integration	Raw results	Dataset ‘cellxgene_census/tabula_sapiens’ %missing	0.2218935	pct_missing <= .1	✗✗
task batch integration	Raw results	Dataset ‘cellxgene_census/gtex_v9’ %missing	0.2189349	pct_missing <= .1	✗✗
task batch integration	Raw results	Dataset ‘cellxgene_census/immune_cell_atlas’ %missing	0.2189349	pct_missing <= .1	✗✗
task spatial simulators	Raw results	Metric ‘svg_recall’ %missing	0.2181818	pct_missing <= .1	✗✗
task batch integration	Raw results	Metric ‘asw_batch’ %missing	0.2179487	pct_missing <= .1	✗✗
task batch integration	Raw results	Metric ‘cell_cycle_conservation’ %missing	0.2179487	pct_missing <= .1	✗✗
task batch integration	Raw results	Metric ‘pcr’ %missing	0.2179487	pct_missing <= .1	✗✗
task label projection	Raw results	Dataset ‘cellxgene_census/immune_cell_atlas’ %missing	0.2105263	pct_missing <= .1	✗✗
task spatial simulators	Scaling	Best score sparsim ks_statistic_enrichment	4.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score splatter ks_statistic_enrichment	4.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score splatter ks_statistic_transition_matrix	4.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score symsim ks_statistic_transition_matrix	4.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score splatter ks_statistic_transition_scalef	3.8803000	best_score <= 2	✗
task spatial simulators	Scaling	Best score symsim ks_statistic_transition_scalef	3.8803000	best_score <= 2	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/seqfish/mouse_organogenesis_seqfish’ %missing	0.1875000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/slideseqv2/mouse_cortex’ %missing	0.1875000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/stereoseq/drosophila_embryo_e6_3’ %missing	0.1875000	pct_missing <= .1	✗
task spatial simulators	Scaling	Worst score symsim ks_statistic_morans_I	-1.7977000	worst_score >= -1	✗
task batch integration	Raw results	Metric ‘ari’ %missing	0.1794872	pct_missing <= .1	✗
task batch integration	Raw results	Metric ‘clisi’ %missing	0.1794872	pct_missing <= .1	✗
task batch integration	Raw results	Metric ‘graph_connectivity’ %missing	0.1794872	pct_missing <= .1	✗
task batch integration	Raw results	Metric ‘ilisi’ %missing	0.1794872	pct_missing <= .1	✗
task batch integration	Raw results	Metric ‘nmi’ %missing	0.1794872	pct_missing <= .1	✗
task spatial simulators	Scaling	Best score zinbwave ks_statistic_transition_scalef	3.3624000	best_score <= 2	✗
task predict modality	Raw results	Metric ‘overall_pearson’ %missing	0.1666667	pct_missing <= .1	✗
task predict modality	Raw results	Metric ‘overall_spearman’ %missing	0.1666667	pct_missing <= .1	✗
task spatial simulators	Scaling	Best score sparsim ks_statistic_transition_matrix	3.3333000	best_score <= 2	✗
task spatial simulators	Scaling	Best score scdesign3_nb ks_statistic_transition_scalef	3.3003000	best_score <= 2	✗
task spatially variable genes	Raw results	Method ‘spark’ %missing	0.1600000	pct_missing <= .1	✗
task label projection	Raw results	Dataset ‘cellxgene_census/dkd’ %missing	0.1578947	pct_missing <= .1	✗
task label projection	Raw results	Dataset ‘cellxgene_census/gtex_v9’ %missing	0.1578947	pct_missing <= .1	✗
task label projection	Raw results	Dataset ‘cellxgene_census/tabula_sapiens’ %missing	0.1578947	pct_missing <= .1	✗
task batch integration	Scaling	Worst score scanorama hvg_overlap	-1.5279000	worst_score >= -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	✗
task spatial simulators	Scaling	Best score scdesign3_nb ks_statistic_enrichment	3.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score scdesign3_poisson ks_statistic_enrichment	3.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score srtsim ks_statistic_enrichment	3.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score symsim ks_statistic_enrichment	3.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score zinbwave ks_statistic_enrichment	3.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Best score zinbwave ks_statistic_transition_matrix	3.0000000	best_score <= 2	✗
task spatial simulators	Scaling	Worst score sparsim ks_statistic_central_score_scalef	-1.4920000	worst_score >= -1	✗
task spatial simulators	Scaling	Best score srtsim ks_statistic_transition_scalef	2.9102000	best_score <= 2	✗
task spatial simulators	Scaling	Best score scdesign3_nb ks_statistic_enrichment_scalef	2.8293000	best_score <= 2	✗
task batch integration	Raw results	Method ‘uce’ %missing	0.1410256	pct_missing <= .1	✗
task spatial simulators	Scaling	Best score scdesign3_poisson ks_statistic_transition_scalef	2.8141000	best_score <= 2	✗
task spatial simulators	Scaling	Worst score symsim svg_precision	-1.4000000	worst_score >= -1	✗
task predict modality	Raw results	Dataset ‘openproblems_neurips2022/pbmc_multiome/normal’ %missing	0.1388889	pct_missing <= .1	✗
task spatial simulators	Raw results	Metric ‘ks_statistic_central_score’ %missing	0.1363636	pct_missing <= .1	✗
task spatial simulators	Raw results	Metric ‘ks_statistic_central_score_scalef’ %missing	0.1363636	pct_missing <= .1	✗
task spatial simulators	Raw results	Metric ‘ks_statistic_enrichment’ %missing	0.1363636	pct_missing <= .1	✗
task spatial simulators	Raw results	Metric ‘ks_statistic_enrichment_scalef’ %missing	0.1363636	pct_missing <= .1	✗
task spatial simulators	Raw results	Metric ‘ks_statistic_transition_matrix’ %missing	0.1363636	pct_missing <= .1	✗
task spatial simulators	Raw results	Metric ‘ks_statistic_transition_scalef’ %missing	0.1363636	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘batchelor_fastmnn’ %missing	0.1282051	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘harmony’ %missing	0.1282051	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘harmonypy’ %missing	0.1282051	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘liger’ %missing	0.1282051	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘pyliger’ %missing	0.1282051	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘scanvi’ %missing	0.1282051	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘scvi’ %missing	0.1282051	pct_missing <= .1	✗
task spatial simulators	Scaling	Best score scdesign2 ks_statistic_transition_scalef	2.5279000	best_score <= 2	✗
task spatial simulators	Scaling	Best score scdesign2 ks_statistic_enrichment_scalef	2.5015000	best_score <= 2	✗
task spatially variable genes	Raw results	Dataset ‘tenx_visium/visium/human_brain_cancer’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘tenx_visium/visium/human_normal_prostate’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/slideseqv2/mouse_cerebellum’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/slideseqv2/mouse_hippocampus_puck’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/slideseqv2/mouse_olfactory_bulb_puck’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/slideseqv2/mouse_somatosensory_cortex_puck’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/starmap/mouse_brain_2d_zstep10_0’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/starmap/mouse_brain_2d_zstep15_0’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/stereoseq/drosophila_embryo_e10’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/stereoseq/drosophila_embryo_e5_6’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/stereoseq/drosophila_embryo_e7’ %missing	0.1250000	pct_missing <= .1	✗
task spatially variable genes	Raw results	Dataset ‘zenodo_spatial/stereoseq/drosophila_embryo_e9_1’ %missing	0.1250000	pct_missing <= .1	✗
task predict modality	Raw results	Method ‘knnr_py’ %missing	0.1250000	pct_missing <= .1	✗
task predict modality	Raw results	Method ‘lm’ %missing	0.1250000	pct_missing <= .1	✗
task batch integration	Scaling	Worst score scalex hvg_overlap	-1.2449000	worst_score >= -1	✗
task spatial simulators	Scaling	Worst score srtsim ks_statistic_transition_scalef	-1.2426000	worst_score >= -1	✗
task spatial simulators	Scaling	Best score scdesign3_poisson ks_statistic_enrichment_scalef	2.4207000	best_score <= 2	✗
task spatial simulators	Scaling	Best score srtsim ks_statistic_enrichment_scalef	2.4083000	best_score <= 2	✗
task spatially variable genes	Raw results	Method ‘somde’ %missing	0.1200000	pct_missing <= .1	✗
task spatial simulators	Scaling	Best score sparsim ks_statistic_transition_scalef	2.3964000	best_score <= 2	✗
task batch integration	Raw results	Method ‘embed_cell_types’ %missing	0.1153846	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘embed_cell_types_jittered’ %missing	0.1153846	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘no_integration’ %missing	0.1153846	pct_missing <= .1	✗
task batch integration	Raw results	Method ‘no_integration_batch’ %missing	0.1153846	pct_missing <= .1	✗
task spatial simulators	Scaling	Worst score srtsim ks_statistic_morans_I	-1.1172000	worst_score >= -1	✗
task spatial simulators	Scaling	Worst score sparsim svg_precision	-1.0787000	worst_score >= -1	✗
task spatial simulators	Scaling	Best score splatter ks_statistic_central_score_scalef	2.1239000	best_score <= 2	✗
task spatial simulators	Scaling	Best score symsim ks_statistic_central_score_scalef	2.1239000	best_score <= 2	✗
task spatial simulators	Scaling	Best score sparsim ks_statistic_central_score_scalef	2.0261000	best_score <= 2	✗