single cell doublet scoring: In-silico doublet annotation for single cell RNA sequencing data
scds is an R package for computational doublet annotation of single cell RNA sequencing data. It interfaces with the S4 SingleCellExperiment class (see here), so it should easily integrate into many R/Bioconductor scRNA-seq analysis workflows.
You can install scds using Bioconductor (Devel Release 3.10) as follows:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scds", version = "3.10")Or directly from github using devtools:
devtools::install_github('kostkalab/scds',ref="master")In the following sce is a SingleCellExperiment holding at least raw counts in an assay called counts.
#- Annotate doublet using co-expression based doublet scoring:
sce = cxds(sce)
#- Annotate doublet using binary classification based doublet scoring:
sce = bcds(sce)
#- Combine both annotations into a hybrid annotation
sce = cxds_bcds_hybrid(sce)
#- Doublet scores are now available via colData:
CD = colData(sce)
head(cbind(CD$cxds_score,CD$bcds_score, CD$hybrid_score))
rm(CD)