Robust Supervised Hierarchical Identification of Single Cells
Overview
Identifying cell types based on expression profiles is a pillar of single cell analysis. 'scROSHI' identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Michael Prummer, Anne Bertolini, Lars Bosshard, Florian Barkmann, Josephine Yates, Valentina Boeva, The Tumor Profiler Consortium , Daniel Stekhoven, Franziska Singer, scROSHI: robust supervised hierarchical identification of single cells, NAR Genomics and Bioinformatics, Volume 5, Issue 2, June 2023, lqad058, doi:10.1093/nargab/lqad058.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-10
Show 4 earlier changesHide 4 earlier changes
- ERROR12 OK, 1 ERROR2026-05-03
- OK14 OK2026-04-10
- ERROR13 OK, 1 ERROR2026-04-09
- OK14 OK2026-03-10
Documentation
- Help pages
- 9includes a package overview page
- Examples that run
- 50%3 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 83%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing scROSHI adds 11 packages (9 with compiled code, 19 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB. 4 more not on CRAN are not measured.
Code & Tests
Datasets
People & History
Previously maintained by Lars Bosshard (1.0.0.0).
Pick two releases to compare their code metrics.
- 1.0.0.1Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.0.02023-01-10
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-01-10
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6
- Bundled data
- 668 KB / 3 files
- Download size
- 682 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("scROSHI")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.