runCxdsBcdsHybrid: Find doublets/multiplets using cxds_bcds_hybrid.

In singleCellTK: Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data

Description

A wrapper function for cxds_bcds_hybrid. Annotate doublets/multiplets using a binary classification approach to discriminate artificial doublets from original data. Generate a doublet score for each cell. Infer doublets if estNdbl is TRUE.

Usage

runCxdsBcdsHybrid(
  inSCE,
  sample = NULL,
  seed = 12345,
  nTop = 500,
  cxdsArgs = list(),
  bcdsArgs = list(),
  verb = FALSE,
  estNdbl = FALSE,
  force = FALSE,
  useAssay = "counts"
)

Arguments

inSCE	A SingleCellExperiment object. Needs counts in assays slot.
sample	Character vector. Indicates which sample each cell belongs to. cxds_bcds_hybrid will be run on cells from each sample separately. If NULL, then all cells will be processed together. Default NULL.
seed	Seed for the random number generator. Default 12345.
nTop	The number of top varialbe genes to consider. Used in both csds and bcds. Default 500.
cxdsArgs	See cxds_bcds_hybrid for more information. Default NULL.
bcdsArgs	See cxds_bcds_hybrid for more information. Default NULL.
verb	See cxds_bcds_hybrid for more information. Default FALSE.
estNdbl	See cxds_bcds_hybrid for more information. Default FALSE.
force	See cxds_bcds_hybrid for more information. Default FALSE.
useAssay	A string specifying which assay in the SCE to use.

Value

A SingleCellExperiment object with cxds_bcds_hybrid output appended to the colData slot. The columns include hybrid_score and optionally hybrid_call. Please refer to the documentation of cxds_bcds_hybrid for details.

Examples

data(scExample, package = "singleCellTK")
sce <- subsetSCECols(sce, colData = "type != 'EmptyDroplet'")
sce <- runCxdsBcdsHybrid(sce)

singleCellTK documentation built on Nov. 8, 2020, 5:21 p.m.