PINSPlus: Clustering Algorithm for Data Integration and Disease Subtyping

Provides a robust approach for omics data integration and disease subtyping. It is an improved implementation of PINS - Perturbation clustering for data INtegration and disease Subtyping (Nguyen T, Tagett R, Diaz D, Draghici S, Genome Research, 2017, <doi:10.1101/gr.215129.116>). '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.

Version: 1.0.1
Depends: R (≥ 2.10), cluster, entropy, parallel, pbmcapply, doParallel
Imports: foreach
Suggests: knitr, rmarkdown, survival
Published: 2018-05-03
Author: Hung Nguyen, Sangam Shrestha and Tin Nguyen
Maintainer: Hung Nguyen <hungnp at nevada.unr.edu>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL]
NeedsCompilation: no
CRAN checks: PINSPlus results

Downloads:

Reference manual: PINSPlus.pdf
Vignettes: PINSPlus
Package source: PINSPlus_1.0.1.tar.gz
Windows binaries: r-devel: PINSPlus_1.0.1.zip, r-release: PINSPlus_1.0.1.zip, r-oldrel: PINSPlus_1.0.1.zip
OS X binaries: r-release: PINSPlus_1.0.1.tgz, r-oldrel: PINSPlus_1.0.1.tgz
Old sources: PINSPlus archive

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