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SparseDC

0.1.17

Implementation of SparseDC Algorithm

0packages depend
5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jun LiFirst published 2017-05-024 releasesCRAN page ↗

Implements the algorithm described in Barron, M., Zhang, S. and Li, J. 2017, "A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data", Nucleic Acids Research, gkx1113, doi:10.1093/nar/gkx1113. This algorithm clusters samples from two different populations, links the clusters across the conditions and identifies marker genes for these changes. The package was designed for scRNA-Seq data but is also applicable to many other data types, just replace cells with samples and genes with variables. The package also contains functions for estimating the parameters for SparseDC as outlined in the paper. We recommend that users further select their marker genes using the magnitude of the cluster centers.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
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

5K
CRAN downloads in the past year
Rank #10,752 · ~14/day · ~420/mo
Daily download trend is not available in this view yet.
23730 days
91090 days
5K1 year
Compare downloads with other packages →
Also on200 r2u29 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
Imports (1)
stats
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
  • 0.1.17Latest
    2018-01-04 · current release · diff ↗
  • 0.1.14
    2017-10-19 · diff ↗
  • 0.1.12
    2017-09-17 · diff ↗
  • 0.1.5
    2017-05-02
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-05-02
Total releases
4 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1.0
Bundled data
4.3 MB / 4 files
Download size
4.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SparseDC")
Li, J., & Barron, M. (2018). SparseDC: Implementation of SparseDC Algorithm (Version 0.1.17) [Computer software]. https://doi.org/10.32614/CRAN.package.SparseDC

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 SparseDC version 0.1.17 [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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