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PINSPlus  

Clustering Algorithm for Data Integration and Disease Subtyping
View on CRAN: Click here


Download and install PINSPlus package within the R console
Install from CRAN:
install.packages("PINSPlus")

Install from Github:
library("remotes")
install_github("cran/PINSPlus")

Install by package version:
library("remotes")
install_version("PINSPlus", "2.0.10")



Attach the package and use:
library("PINSPlus")
Maintained by
Van-Dung Pham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-16
Latest Update: 2025-07-29
Description:
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) , Nguyen et al. (2017), Nguyen et al. (2021)).
How to cite:
Van-Dung Pham (2018). PINSPlus: Clustering Algorithm for Data Integration and Disease Subtyping. R package version 2.0.10, https://cran.r-project.org/web/packages/PINSPlus. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-09-02 07:21), 1.0.0 (2018-03-16 10:39), 1.0.1 (2018-05-03 12:55), 1.0.2 (2018-07-17 00:40), 1.0.3 (2019-01-07 20:00), 2.0.0 (2019-06-04 17:00), 2.0.1 (2020-04-02 23:30), 2.0.2 (2020-04-13 08:50), 2.0.3 (2020-05-28 10:10), 2.0.4 (2020-05-31 03:30), 2.0.5 (2020-08-06 23:20), 2.0.6 (2021-12-14 20:40), 2.0.7 (2024-04-05 16:53), 2.0.9 (2025-07-29 18:40)
Other packages that cited PINSPlus R package
View PINSPlus citation profile
Other R packages that PINSPlus depends, imports, suggests or enhances
Complete documentation for PINSPlus
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