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: | 2.0.0 |
| Depends: | R (≥ 2.10), cluster, entropy, parallel, pbmcapply, doParallel |
| Imports: | foreach |
| Suggests: | knitr, rmarkdown, survival |
| Published: | 2019-06-04 |
| 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 |
| Citation: | PINSPlus citation info |
| CRAN checks: | PINSPlus results |
| Reference manual: | PINSPlus.pdf |
| Vignettes: |
PINSPlus |
| Package source: | PINSPlus_2.0.0.tar.gz |
| Windows binaries: | r-devel: PINSPlus_2.0.0.zip, r-devel-gcc8: PINSPlus_2.0.0.zip, r-release: PINSPlus_2.0.0.zip, r-oldrel: PINSPlus_2.0.0.zip |
| OS X binaries: | r-release: PINSPlus_2.0.0.tgz, r-oldrel: PINSPlus_2.0.0.tgz |
| Old sources: | PINSPlus archive |
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