PINSPlus
2.0.9Clustering 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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
Code & Tests
People & History
13 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.0.9Latest
- 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 ↗
- 2.0.02019-06-04 · diff ↗
Package metadata
- First published
- 2018-03-16
- Total releases
- 13 / 8 yrs
- License
- LGPL
- Minimum R
- ≥ 2.10
- Bundled data
- 594 KB / 3 files
- Download size
- 743 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("PINSPlus")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.
From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.