View source: R/DownstreamAnalysisFunctions.R
scoreDoublets | R Documentation |
scoreDoublets()
generates an l-by-l matrix for how often each label is
confused for each other label at a given threshold, optinally normalized for total
counts of cells for each label (default FALSE)
scoreDoublets(cellWalk, plot = FALSE, embedding = "tSNE")
cellWalk |
a cellWalk object |
plot |
boolean, optionally plot doublet scores in embedding space |
embedding |
method with which to embed data, either "tSNE" or "UMAP" |
cellWalk object with vector of doublet scores stored in "doubletScore"
data("SampleCellWalkRData")
cellWalk <- scoreDoublets(SampleCellWalkRData$cellWalk)
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