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 |
| 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_1.0.0.tgz |
| Old sources: | PINSPlus archive |
Please use the canonical form https://CRAN.R-project.org/package=PINSPlus to link to this page.