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SparseDC

0.1.17Package record

Implementation of SparseDC Algorithm

0packages depend
5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Jun LiCRAN 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
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.17
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13
Examples that run
100%6 run in a plain check
Exported functions with examples
60%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%
Vignettes (1)

Downloads

5K
CRAN downloads in the past year
Rank #14,075 · ~14/day · ~416/mo
Daily download trend is not available in this view yet.
28630 days
83790 days
5K1 year
Compare downloads with other packages →
Also on134 r2u6 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing SparseDC adds no packages beyond those that come with R.

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.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.5 (2017)
Releases (4)

Pick two releases to compare their code metrics.

  • 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
    record
    2018-01-04 · current release · diff ↗
  • 0.1.14
    record
    2017-10-19 · diff ↗
  • 0.1.12
    record
    2017-09-17 · diff ↗
  • 0.1.5
    record
    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

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 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 SparseDC version 0.1.17 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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