Clustering Algorithm for Data Integration and Disease Subtyping

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)).


Reference manual

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install.packages("PINSPlus")

2.0.10 by Van-Dung Pham, 2 months ago


Browse source code at https://github.com/cran/PINSPlus


Authors: Hung Nguyen [aut] , Bang Tran [aut] , Duc Tran [aut] , Tin Nguyen [aut] , Van-Dung Pham [cre]


Documentation:   PDF Manual  


LGPL license


Imports foreach, entropy, doParallel, matrixStats, Rcpp, RcppParallel, FNN, cluster, irlba, mclust, impute

Suggests knitr, rmarkdown, survival, markdown

Linking to Rcpp, RcppArmadillo, RcppParallel


Imported by scISR.


See at CRAN