Clustering Algorithm for Data Integration and Disease Subtyping

Provides a robust approach for omics data integration and disease subtyping. 'PINSPlus' supports both single and multiple data types. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust to noise and data perturbation. 'PINSPlus' is fast and it supports parallel computing on Windows, Linux, and Mac OS.


Reference manual

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1.0.3 by Hung Nguyen, a month ago

Browse source code at

Authors: Hung Nguyen , Sangam Shrestha and Tin Nguyen

Documentation:   PDF Manual  

LGPL license

Imports foreach

Depends on cluster, entropy, parallel, pbmcapply, doParallel

Suggests knitr, rmarkdown, survival

See at CRAN