View of quality control (QC) indicators

We calculated the corresponding QC metrics and customized the parameters simultaneously. QC has two main parameters: (I) the number of the unique characteristics measured in each cell (the unique feature represents the number of genes detected in a cell, can be adjusted according to the quality of the data); (II) the proportion of mitochondrial genes detected in each cell, compared with the nuclear genome, theoretically mitochondrial genome only a small part. So cells with excessive expression of mitochondrial genes are filtered out. We then visualized the QC metrics by VlnPlot function and calculated QC correlation using the FeatureScatter function in R.