Table 3.

Analysis of the seven scRNA-seq datasets in R Seurat- workflow.

Dataset	GSE131907	GSE136246	GSE148071	GSE153935	KU_loom	GSE127465	GSE119911
Step 1: QC	nFeature_RNA > 200 & < 3000; Percent_mt <20
	Step 2: Normalization
	Step 3: Identification of variable features
	Step 4: Scaling the data
	Step 5: PCA dimensional reduction
Step 6: Determine no. of PCs	20	20	20	20	20	20	20
	Step 7: Cell clustering
	Step 8: UMAP plotting
Step 9: Cell type annotation	Annotation provided	Annotation provided	Own annotation	Own annotation	Own annotation	Annotation provided	Own annotation