DamageDetective: Detecting Damaged Cells in Single-Cell RNA Sequencing Data
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.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.4.0) |
| Imports: |
cowplot, dplyr, ggplot2, ggpubr, Matrix, patchwork, scales, RcppHNSW, rlang, tidyr, withr |
| Suggests: |
Seurat, knitr, rmarkdown, spelling |
| Published: |
2025-04-03 |
| DOI: |
10.32614/CRAN.package.DamageDetective |
| Author: |
Alicen Henning 
[aut, cre, cph] |
| Maintainer: |
Alicen Henning <alicen.jhb at gmail.com> |
| BugReports: |
https://github.com/alicenjoyhenning/DamageDetective/issues |
| License: |
AGPL (≥ 3) |
| URL: |
https://alicenjoyhenning.github.io/DamageDetective/,
https://github.com/alicenjoyhenning/DamageDetective |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
NEWS |
| CRAN checks: |
DamageDetective results |
Documentation:
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