This function performs doublet-calling using the doubletdetection(python) package on a Seurat object.
Usage
db_DoubletDetection(srt, assay = "RNA", db_rate = ncol(srt)/1000 * 0.01, ...)Arguments
- srt
A Seurat object.
- assay
The name of the assay to be used for doublet-calling. Default is
"RNA".- db_rate
The expected doublet rate. Default is calculated as
ncol(srt) / 1000 * 0.01.- ...
Additional arguments to be passed to doubletdetection.BoostClassifier.
Examples
if (FALSE) { # \dontrun{
data(pancreas_sub)
pancreas_sub <- standard_scop(pancreas_sub)
pancreas_sub <- db_DoubletDetection(pancreas_sub)
CellDimPlot(
pancreas_sub,
reduction = "umap",
group.by = "db.DoubletDetection_class"
)
FeatureDimPlot(
pancreas_sub,
reduction = "umap",
features = "db.DoubletDetection_score"
)
} # }