plot_simulation_outcome: plot_simulation_outcome

In DamageDetective: Detecting Damaged Cells in Single-Cell RNA Sequencing Data

plot_simulation_outcome

Description

Function to generate quality control plots for altered and unaltered counts.

Usage

plot_simulation_outcome(
  qc_summary,
  target_damage = c(0.1, 0.8),
  palette = c("grey", "#7023FD", "#E60006")
)

Arguments

qc_summary	A data frame containing the quality control summary for cells.
target_damage	Numeric vector specifying the target damage levels for color scaling.
palette	A character vector specifying the color gradient used for coloring the damage levels.

Details

This function generates a combined plot showing the distributions of various quality control metrics (such as mitochondrial and ribosomal proportions) before and after damage simulation. It compares unaltered counts against altered counts for a more comprehensive assessment.

Value

A ggplot2 object representing the combined plot of altered and unaltered counts.

DamageDetective documentation built on April 4, 2025, 2:39 a.m.