Implementation of SparseDC Algorithm
Overview
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
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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%
- sparseDC HTML
Downloads
Dependencies
Installing SparseDC adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.1.17Latest
- 0.1.142017-10-19 · diff ↗
- 0.1.122017-09-17 · diff ↗
- 0.1.52017-05-02
- RR 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
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