plot_ribosomal_penalty

Function to generate a scatter plot of the simulated data focusing on
ribosomal proportion.

internal

Detects and filters damaged cells in single-cell RNA sequencing
(scRNA-seq) data using a novel approach inspired by 'DoubletFinder'. Damage
is detected by measuring the extent to which cells deviate from
artificially damaged profiles of themselves, simulated through the
probabilistic escape of cytoplasmic RNA. As output, a damage score
ranging from 0 to 1 is given for each cell providing an intuitive scale for
filtering that is standardised across cell types, samples, and experiments.

Alicen Henning

DamageDetective

Detecting Damaged Cells in Single-Cell RNA Sequencing Data

plot_ribosomal_penalty function

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

Arguments

plot_ribosomal_penalty — plot_ribosomal_penalty

<dl>

<dt>qc_summary</dt>
<dd>A data frame containing the quality control summary for
cells.</dd>


<dt>palette</dt>
<dd>A character vector specifying the color gradient used for
coloring the damage levels.</dd>


<dt>target_damage</dt>
<dd>Numeric vector specifying the target damage levels for
color scaling.</dd>

</dl>

plot_ribosomal_penalty: plot_ribosomal_penalty

Description

Usage

Value

Arguments

Details