Publications by Nasir Mahmood Abbasi
SS_Robj_CellLines_PBMC_Merged_without_Correction_L1_Merged_first_HPC_PC-1:50-4
SS_Robj_CellLines_PBMC_Merged_without_Correction_L1_Merged_first_HPC_PC-1:50-4 SS_Robj_CellLines_PBMC_Merged_without_Correction_L1_Merged_first_HPC_PC-1:50-4 1. load libraries 2. Load Seurat Object 3. QC 4. Normalize data 5. Perform PCA Perform PCA TEST 6. Clustering 7. Azimuth Annotation 8. Cell type ...
1090 sym Python (22328 sym/121 pcs) 22 img
L1_Merged_first_HPC_PC-1:50-5
L1_Merged_first_HPC_PC-1:50-5 L1_Merged_first_HPC_PC-1:50-5 1. load libraries 2. Load Seurat Object 3. QC Assign Cell-Cycle Scores 4. Normalize data 5. Perform PCA Perform PCA TEST 6. Clustering 7. Azimuth Annotation 8. Cell type annotation using ProjectTils clusTree Azimuth Visualization 10...
1058 sym Python (22998 sym/126 pcs) 23 img
UMAP of T cells without other PBMC cells using clusters and PC-1:50-2
SS_Robj_CellLines_PBMC_Merged_without_Correction_L1_Merged_first_HPC_PC-1:50 SS_Robj_CellLines_PBMC_Merged_without_Correction_L1_Merged_first_HPC_PC-1:50 1. load libraries 2. Load Seurat Object 3. QC 4. Normalize data 5. Perform PCA Perform PCA TEST 6. Clustering 7. Azimuth Annotation 8. Cell type a...
1189 sym Python (25757 sym/142 pcs) 22 img
Just T cells Analysis_PC-1:50
UMAP of T cells without other PBMC cells using clusters and PC-1:50 UMAP of T cells without other PBMC cells using clusters and PC-1:50 1. load libraries 2. Load Seurat Object 3. Azimuth Annotation 4. QC Assign Cell-Cycle Scores 5. Normalize data 6. Perform PCA 7. Perform PCA TEST 8. Clustering 9....
1130 sym Python (27164 sym/105 pcs) 28 img
L3_Notebook
1. load libraries 2. Load Seurat Object #Load Seurat Object L2 load("../Documents/1-SS-STeps/4-Analysis_and_Robj_Marie/analyse juillet 2023/ObjetsR/L2.Robj") L2 An object of class Seurat 36629 features across 5935 samples within 2 assays Active assay: RNA (36601 features, 0 variable features) 2 layers present: counts, data 1 other assay pres...
20077 sym R (88520 sym/117 pcs) 43 img
L4_notebook
1. load libraries 2. Load Seurat Object #Load Seurat Object L4 load("../Documents/1-SS-STeps/4-Analysis_and_Robj_Marie/analyse juillet 2023/ObjetsR/L4_B.Robj") L4 <- L4_B L4 An object of class Seurat 36629 features across 6150 samples within 2 assays Active assay: RNA (36601 features, 0 variable features) 2 layers present: counts, data 1 oth...
20112 sym R (91079 sym/128 pcs) 43 img
L4
Cell Line L4 Analysis Cell Line L4 Analysis 1. load libraries 2. Load Seurat Object 3. QC 4. Normalize data 5. Perform PCA 6. Clustering 7. Azimuth Annotation 8. Cell type annotation using ProjectTils 9.Cell type annotation using SingleR 10. clusTree 11.Save the Seurat object as an Robj file ...
1102 sym Python (26967 sym/173 pcs) 43 img
L5
Cell Line L5 Analysis Cell Line L5 Analysis 1. load libraries 2. Load Seurat Object 3. QC 4. Normalize data 5. Perform PCA 6. Clustering 7. Azimuth Annotation 8. Cell type annotation using ProjectTils 9.Cell type annotation using SingleR 10. clusTree 11.Save the Seurat object as an Robj file ...
1105 sym Python (27675 sym/176 pcs) 43 img
L3
Cell Line L3 Analysis Cell Line L3 Analysis 1. load libraries 2. Load Seurat Object 3. QC 4. Normalize data 5. Perform PCA 6. Clustering 7. Azimuth Annotation 8. Cell type annotation using ProjectTils 9.Cell type annotation using SingleR 10. clusTree 11.Save the Seurat object as an Robj file ...
1103 sym Python (27551 sym/174 pcs) 43 img
L6
Cell Line L6 Analysis Cell Line L6 Analysis 1. load libraries 2. Load Seurat Object 3. QC 4. Normalize data 5. Perform PCA 6. Clustering 7. Azimuth Annotation 8. Cell type annotation using ProjectTils 9.Cell type annotation using SingleR 10. clusTree 11.Save the Seurat object as an Robj file ...
1101 sym Python (27070 sym/172 pcs) 43 img