PINSPlus: 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.

Version: 1.0.2
Depends: R (≥ 2.10), cluster, entropy, parallel, pbmcapply, doParallel
Imports: foreach
Suggests: knitr, rmarkdown, survival
Published: 2018-07-16
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_1.0.2.tar.gz
Windows binaries: r-devel: PINSPlus_1.0.2.zip, r-release: PINSPlus_1.0.2.zip, r-oldrel: PINSPlus_1.0.2.zip
OS X binaries: r-release: PINSPlus_1.0.2.tgz, r-oldrel: PINSPlus_1.0.2.tgz
Old sources: PINSPlus archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PINSPlus to link to this page.