ClussCluster
0.1.0Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data
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Overview
About
Implements a new method 'ClussCluster' descried in Ge Jiang and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished). Simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, 'ClussCluster' incorporates a Lasso-type regularization penalty term to the objective function of K- means so that cell-type-specific signature genes can be identified while clustering the cells.
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3NOTE10OK
Failing flavors
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 2.1 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMEYes · 65 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 50%
- References docs
- 13%
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Dependencies
Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10.0
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests
People & History
People (3)
Maintainer (1)
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Authors (1)
Author
Contributors (1)
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Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2019-07-02
- Total releases
- 1 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10.0
- Bundled data
- 115 KB / 2 files
- Download size
- 175 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet