Fig. 1

Quality control and data standardization of scRNA-seq data. (A) Quality control for each cell in scRNA seq data, displaying the number of nCount_RNA, nFeature_RNA, percent.mt, and percent.ribo. (B) Scatter plots showing the correlation between filtered data nCount_RNA and nFeature_RNA, percent. mt, percent.ribo. (C) Variance analysis to select highly variable genes in the samples (red dots represent highly variable genes, black dots represent invariant genes). (D) Fragmentation maps for principal component screening. (E) Principal component analysis and Harmonization analysis.