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scROSHI

1.0.0.1Package record

Robust Supervised Hierarchical Identification of Single Cells

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 1.0.0.1
READMEYes · 275 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

2.7K
CRAN downloads in the past year
Rank #7,800 · ~7/day · ~227/mo
Daily download trend is not available in this view yet.
37130 days
1.1K90 days
2.7K1 year
Compare downloads with other packages →
Also on70 r2u204 bioconda

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.6
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0.1 (2026) · added in 1.0.0.1

Previously maintained by Lars Bosshard (1.0.0.0).

Releases (2)

Pick two releases to compare their code metrics.

  • 1.0.0.1Latest
    record
    2026-09-09 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0.0
    record
    2023-01-10
  • R
    R 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")
Burri, D., Bosshard, L., & Prummer, M. (2026). scROSHI: Robust Supervised Hierarchical Identification of Single Cells (Version 1.0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scROSHI version 1.0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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