test_counts

A sparse matrix of PBMC single-cell gene expression data for function
testing.

datasets

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

test_counts function

A sparse matrix with:<ul>
<li>32 738 rows representing genes.</li>
<li>500 columns representing single cells.</li>
<li>Stored expression values representing nonzero gene expression levels.</li>
</ul>

test_counts: Test Counts

Description

Usage

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Format

Details