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PINSPlus
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", "2.0.7")
Attach the package and use:
library("PINSPlus")
Maintained by
Van-Dung Pham
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-16
Latest Update: 2021-12-14
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 2.0.7, https://cran.r-project.org/web/packages/PINSPlus
Previous versions and publish date:
Other packages that cited PINSPlus R package
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Other R packages that PINSPlus depends,
imports, suggests or enhances
Functions, R codes and Examples using
the PINSPlus R package
Some associated functions: AML2004 . KIRC . PINSPlus-package . PerturbationClustering . SubtypingOmicsData .
Some associated R codes: RcppExports.R . clustering-algorithm-wrappers.R . perturb-functions.R . perturbation-clustering-helpers.R . perturbation-clustering.R . rpca.R . stopping-criteria-handlers.R . subtyping-omics-data-helpers.R . subtyping-omics-data.R . Full PINSPlus package functions and examples
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