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

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2022-04-29

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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