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ccRemover

1.0.4

Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data

0packages depend
3.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jun LiFirst published 2017-05-184 releasesCRAN page ↗

Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) doi:10.1038/srep33892. Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.

Install

Health

CRAN checks
13OK
Slowest check: 6.8 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
0%

Downloads

3.5K
CRAN downloads in the past year
Rank #16,057 · ~10/day · ~291/mo
Daily download trend is not available in this view yet.
19330 days
67790 days
3.5K1 year
Compare downloads with other packages →
Also on391 r2u33 autocran1.4K conda_forge

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10.0
Imports (2)
statsutils
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.4Latest
    2017-08-19 · current release · diff ↗
  • 1.0.3
    2017-08-13 · diff ↗
  • 1.0.2
    2017-07-26 · diff ↗
  • 1.0.1
    2017-05-18
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-05-18
Total releases
4 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10.0
Bundled data
1.6 MB / 5 files
Download size
1.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ccRemover")
Li, J., & Barron, M. (2017). ccRemover: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.ccRemover

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ccRemover version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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