| Metric,Prostate_Cancer,Non_Cancerous | |
| Dataset_Type,Tumor samples,Benign samples | |
| Total_Cells,30932,12205 | |
| Total_Genes,846,779 | |
| Number_of_Samples,7,7 | |
| Number_of_Clusters,14,14 | |
| Seurat_Version,5.1.0,5.1.0 | |
| Normalization_Method,LogNormalize + SCTransform,LogNormalize + SCTransform | |
| Integration_Method,Canonical Correlation Analysis,Canonical Correlation Analysis | |
| Dimensionality_Reduction,PCA + UMAP,PCA + UMAP | |
| Clustering_Resolution,0.5,0.5 | |
| Variable_Features_Count,2000 (VST method),2000 (VST method) | |
| PCA_Dimensions_Used,01:15,01:15 | |
| UMAP_Metric,Cosine,Cosine | |
| Quality_Control_Applied,Yes (multi-step),Yes (multi-step) | |
| Cell_Cycle_Regression,Yes (S.Score + G2M.Score),Yes (S.Score + G2M.Score) | |
| Doublet_Removal,Yes (scDblFinder),Yes (scDblFinder) | |
| Batch_Correction,Yes (SCTransform integration),Yes (SCTransform integration) | |
| Min_Features_Per_Cell,>500,>500 | |
| Ribosomal_Filter_Percentile,90th percentile,90th percentile | |
| Mitochondrial_Filter_Percentile,90th percentile,90th percentile | |