Demultiplex samples based on classification method from MULTI-seq (McGinnis et al., bioRxiv 2018)
Identify singlets, doublets and negative cells from multiplexing experiments. Annotate singlets by tags.
MULTIseqDemux( object, assay = "HTO", quantile = 0.7, autoThresh = FALSE, maxiter = 5, qrange = seq(from = 0.1, to = 0.9, by = 0.05), verbose = TRUE )
object |
Seurat object. Assumes that the specified assay data has been added |
assay |
Name of the multiplexing assay (HTO by default) |
quantile |
The quantile to use for classification |
autoThresh |
Whether to perform automated threshold finding to define the best quantile. Default is FALSE |
maxiter |
Maximum number of iterations if autoThresh = TRUE. Default is 5 |
qrange |
A range of possible quantile values to try if autoThresh = TRUE |
verbose |
Prints the output |
A Seurat object with demultiplexing results stored at object$MULTI_ID
## Not run: object <- MULTIseqDemux(object) ## End(Not run)
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