【DoubletFinder】predicts doublets in single-cell RNA sequencing data

remotes::install_github('chris-mcginnis-ucsf/DoubletFinder')

DF共分成四步：

需要输入的参数：

（1）seu ~ fully processed seurat object (i.e., after NormalizeData, FindVariableGenes, ScaleData, RunPCA, and RunTSNE have all been run)

（2）PCs ~ The number of statistically-significant principal components, specified as a range (e.g., PCs = 1:10)

（3）pN ~ This defines the number of generated artificial doublets, expressed as a proportion of the merged real-artificial data. Default is set to 25%

（4）pK ~ This defines the PC neighborhood size used to compute pANN, expressed as a proportion of the merge

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