plot_detection_outcome: plot_detection_outcome

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

plot_detection_outcome

Description

Function to generate a plot showing the distribution of quality control metrics across altered data.

Usage

plot_detection_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 visualizes the distribution of features and proportions of mitochondrial and ribosomal genes for altered cells, coloring the points by their damage levels. It helps in assessing how well the damage detection process has classified cells based on their quality control metrics.

Value

A ggplot2 object representing the scatter plot of quality control metrics.

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