plot_qc_metrics: Plot QC metrics

In OliverDietrich/SeuratHelper: Helper functions to assist scRNA-seq data analysis from a Seurat object

Plot QC metrics

Description

Plot QC metrics

Usage

plot_qc_metrics(
  object,
  x = "libsize",
  metrics = c("ngenes", "percent.mt", "percent.rp"),
  split_by = NULL,
  split_by_max = 5,
  color_by = NULL,
  pt.bin = TRUE,
  nbins = 100,
  pt.size = 0.5,
  theme.size = 15
)

Arguments

object	SeuratObject
x	Metadata slot for x-axis (default: libsize)
metrics	Metadata slots for y-axis
split_by	Metadat slot to split plot vertically
split_by_max	Maximum number of allowed categories for 'split_by'
color_by	Metadata slot to color points by
pt.bin	Boolean, bin points to handle overplotting (uses bin2d)
nbins	Number of bins used in bin2d
pt.size	Point size
theme.size	Theme size

Value

plot

OliverDietrich/SeuratHelper documentation built on Jan. 20, 2024, 2:57 a.m.