Update Dataset_Overview.csv
Browse files- Dataset_Overview.csv +21 -21
Dataset_Overview.csv
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Metric,Prostate_Cancer,Non_Cancerous
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Dataset_Type,Tumor samples,Benign samples
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Total_Cells,30932,12205
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Total_Genes,846,779
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Number_of_Samples,7,7
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Number_of_Clusters,14,14
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Seurat_Version,5.1.0,5.1.0
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Normalization_Method,LogNormalize + SCTransform,LogNormalize + SCTransform
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Integration_Method,Canonical Correlation Analysis,Canonical Correlation Analysis
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Dimensionality_Reduction,PCA + UMAP,PCA + UMAP
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Clustering_Resolution,0.5,0.5
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Variable_Features_Count,2000 (VST method),2000 (VST method)
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PCA_Dimensions_Used,
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UMAP_Metric,Cosine,Cosine
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Quality_Control_Applied,Yes (multi-step),Yes (multi-step)
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Cell_Cycle_Regression,Yes (S.Score + G2M.Score),Yes (S.Score + G2M.Score)
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Doublet_Removal,Yes (scDblFinder),Yes (scDblFinder)
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Batch_Correction,Yes (SCTransform integration),Yes (SCTransform integration)
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Min_Features_Per_Cell,>500,>500
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Ribosomal_Filter_Percentile,90th percentile,90th percentile
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Mitochondrial_Filter_Percentile,90th percentile,90th percentile
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Metric,Prostate_Cancer,Non_Cancerous,Allen_MTG,GBM_Malignant
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Dataset_Type,Tumor samples,Benign samples,Adult cortex (neurotypical),Adult malignant GBM (SS2)
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Total_Cells,30932,12205,13616,4916
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Total_Genes,846,779,50281 (1328 integrated),23686
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Number_of_Samples,7,7,8,20
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Number_of_Clusters,14,14,17,4 (AC; MES; NPC; OPC)
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Seurat_Version,5.1.0,5.1.0,5.3.0,5.3.0
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Normalization_Method,LogNormalize + SCTransform,LogNormalize + SCTransform,LogNormalize + SCTransform,LogNormalize (pre-clustering)
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Integration_Method,Canonical Correlation Analysis,Canonical Correlation Analysis,Canonical Correlation Analysis,N/A (published annotations used)
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Dimensionality_Reduction,PCA + UMAP,PCA + UMAP,PCA + UMAP,N/A
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Clustering_Resolution,0.5,0.5,0.5,N/A
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Variable_Features_Count,2000 (VST method),2000 (VST method),1328 (integration features),2000 (VST method)
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PCA_Dimensions_Used,1:15,1:15,1:8,N/A
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UMAP_Metric,Cosine,Cosine,Cosine,N/A
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Quality_Control_Applied,Yes (multi-step),Yes (multi-step),Yes (multi-step),Yes (Neftel et al. pipeline)
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Cell_Cycle_Regression,Yes (S.Score + G2M.Score),Yes (S.Score + G2M.Score),Yes (S.Score + G2M.Score),Scored only (G1S + G2M)
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Doublet_Removal,Yes (scDblFinder),Yes (scDblFinder),Yes (scDblFinder),N/A (published data)
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Batch_Correction,Yes (SCTransform integration),Yes (SCTransform integration),Yes (SCTransform integration),N/A
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Min_Features_Per_Cell,>500,>500,>500,N/A (Neftel QC)
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Ribosomal_Filter_Percentile,90th percentile,90th percentile,90th percentile,N/A
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Mitochondrial_Filter_Percentile,90th percentile,90th percentile,90th percentile,N/A
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