A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Overview
An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) doi:10.3390/ijms22031399. This package implements extensions of the work published by Ghannoum et. al. (2019) doi:10.1101/700989.
- Delinted package
- Removed dependency on
philentropyandorg.Hs.eg.db(issue #44, #45)
From NEWS.md in the release
Install
Health
ERRORpackage dependenciesr-oldrel-macos-arm64, r-oldrel-macos-x86_64
Package required but not available: ‘TSCAN’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘DISCBIO.Rd’ \arguments should not be documented without \usage.
- ERROR9 OK, 2 NOTE, 2 ERRORNow
- ERROR9 OK, 5 ERROR2026-03-10
Documentation
- Help pages
- 51
- Examples that run
- 89%8 run in a plain check · 1 hold no code
- Exported functions with examples
- 19%
- Documented parameters
- 100%
- Return-value docs
- 94%
- Help pages citing references
- 2%
Downloads
Repository
- PRs merged (all time)
- 94%
- Median days to close, 50 most recently updated closed issues
- 7
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
8 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/ocbe-uio/discbio on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Show all practicesHide 1 practice
Dependencies
Installing DIscBIO adds 46 packages (23 with compiled code, 42 MB of source tarballs). Heaviest: RWekajars 9.6 MB, ggplot2 6.0 MB, igraph 4.8 MB. 3 more not on CRAN are not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.2.3Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.22023-11-06 · diff ↗
- 1.2.12023-10-09 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.2.02021-04-28 · diff ↗
- 1.1.02020-11-13 · diff ↗
- 1.0.12020-10-06 · diff ↗
- 1.0.02020-08-26
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-08-26
- Total releases
- 7 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 1.6 MB / 3 files
- Download size
- 1.1 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DIscBIO")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 v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.