plot_unaltered_counts

Function to generate a scatter plot of quality control metrics for unaltered
data.

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_unaltered_counts function

<dl><dt>qc_summary</dt>
<dd>A data frame containing the quality control summary for
cells.</dd>
<dt>reference</dt>
<dd>A reference data point used for comparison in the plot.</dd></dl>

Arguments

plot_unaltered_counts — plot_unaltered_counts

<dl>

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


<dt>reference</dt>
<dd>A reference data point used for comparison in the plot.</dd>

</dl>

plot_unaltered_counts: plot_unaltered_counts

Description

Usage

Value

Arguments

Details