Provides a robust approach for omics data integration and disease subtyping. PINSPlus is fast and supports the analysis of large datasets with hundreds of thousands of samples and features. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust against noise and data perturbation (Nguyen et.al. (2019) <doi:10.1093/bioinformatics/bty1049>, Nguyen et.al. (2017)<doi:10.1101/gr.215129.116>).
| Version: | 2.0.5 |
| Depends: | R (≥ 2.10) |
| Imports: | foreach, entropy , doParallel, matrixStats, Rcpp, RcppParallel, FNN, cluster, irlba, mclust |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel |
| Suggests: | knitr, rmarkdown, survival, markdown |
| Published: | 2020-08-06 |
| Author: | Hung Nguyen, Bang Tran, Duc Tran and Tin Nguyen |
| Maintainer: | Hung Nguyen <hungnp at nevada.unr.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| NeedsCompilation: | yes |
| Citation: | PINSPlus citation info |
| CRAN checks: | PINSPlus results |
| Reference manual: | PINSPlus.pdf |
| Vignettes: |
PINSPlus |
| Package source: | PINSPlus_2.0.5.tar.gz |
| Windows binaries: | r-devel: PINSPlus_2.0.4.zip, r-release: PINSPlus_2.0.4.zip, r-oldrel: PINSPlus_2.0.4.zip |
| macOS binaries: | r-release: PINSPlus_2.0.4.tgz, r-oldrel: PINSPlus_2.0.4.tgz |
| Old sources: | PINSPlus archive |
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