CallCellRangerV2: CellRanger_v2 method used to recognize cell-containing...

In zh542370159/dropSplit: Automatically identify cell-containing and empty droplets for droplet-based scRNAseq data using dropSplit

CellRanger_v2 method used to recognize cell-containing droplets.

Description

CellRanger_v2 method used to recognize cell-containing droplets.

Usage

CallCellRangerV2(
  counts,
  recovered_cells = 3000,
  recovered_cells_quantile = 0.99,
  Cell_min_nCount = 500
)

Arguments

counts	A matrix object or a dgCMatrix object which columns represent features and rows represent droplets.
recovered_cells	Expected number of recovered cells. Default is 3000.
recovered_cells_quantile	Quantile of the top recovered_cells barcodes by total UMI counts. Default is 0.99.
Cell_min_nCount	Minimum nCount for 'Cell' droplets. Default is 500.

Value

A DataFrame containing the classification column named 'CellRangerV2Class'.

Examples

counts <- simSimpleCounts()
result <- CallCellRangerV2(counts)
head(result)

zh542370159/dropSplit documentation built on June 19, 2022, 2:49 p.m.