Clustering Algorithm for Data Integration and Disease Subtyping
Overview
Provides a robust approach for omics data integration and disease subtyping. PINSPlus is fast and supports the analysis of large datasets with hundreds of thousands of samples and features. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust against noise and data perturbation (Nguyen et al. (2019) <DOI: 10.1093/bioinformatics/bty1049>, Nguyen et al. (2017)<DOI: 10.1101/gr.215129.116>, Nguyen et al. (2021)<DOI: 10.3389/fonc.2021.725133>).
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 0%2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing PINSPlus adds 11 packages (7 with compiled code, 7.4 MB of source tarballs). Heaviest: mclust 2.7 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Maintainer since 2.0.7 (2024), previously Hung Nguyen (1.0.0 to 2.0.6)
Pick two releases to compare their code metrics.
- 2.0.10Latest
- RR 4.6.0 released · 2026-04-24
- 2.0.92025-07-29 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.72024-04-05 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.0.62021-12-14 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.0.52020-08-06 · diff ↗
- 2.0.42020-05-31 · diff ↗
- 2.0.32020-05-28 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 2.0.22020-04-13 · diff ↗
- 2.0.12020-04-02 · diff ↗
Package metadata
- First published
- 2018-03-16
- Total releases
- 14 / 8 yrs
- License
- LGPL · relicensed from GPL in 1.0.1
- Minimum R
- ≥ 2.10
- Bundled data
- 594 KB / 3 files
- Download size
- 744 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("PINSPlus")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.