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 (2019) , Nguyen (2017)).


Reference manual

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2.0.5 by Hung Nguyen, a year ago

Browse source code at

Authors: Hung Nguyen , Bang Tran , Duc Tran and Tin Nguyen

Documentation:   PDF Manual  

LGPL license

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

Suggests knitr, rmarkdown, survival, markdown

Linking to Rcpp, RcppArmadillo, RcppParallel

See at CRAN