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.


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Reference manual

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install.packages("PINSPlus")

1.0.3 by Hung Nguyen, a month ago


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


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