cellxgene-census

예상 결과:

• B cell: 45,230 cells across 3 datasets
• T cell: 67,890 cells across 5 datasets
• Macrophage: 23,450 cells across 4 datasets
• Dendritic cell: 12,100 cells across 2 datasets
• NK cell: 18,760 cells across 3 datasets

예상 결과:

• Use get_anndata with obs_value_filter for disease and cell type
• Filter by feature_name using var_value_filter for gene selection
• Include is_primary_data == True to avoid duplicate cells
• Retrieve cell_type, tissue_general, and donor_id metadata columns

예상 결과:

• Load data with get_anndata using appropriate filters
• Apply scanpy normalization: sc.pp.normalize_total
• Run log transformation: sc.pp.log1p
• Compute PCA: sc.pp.pca
• Generate UMAP: sc.tl.umap and sc.pl.umap