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>, Nguyen et al. (2021)<doi:10.3389/fonc.2021.725133>).
Version: 2.0.7 Depends: R (≥ 2.10) Imports: foreach, entropy , doParallel, matrixStats, Rcpp, RcppParallel, FNN, cluster, irlba, mclust, impute LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: knitr, rmarkdown, survival, markdown Published: 2024-04-05 DOI: 10.32614/CRAN.package.PINSPlus Author: Hung Nguyen, Bang Tran, Duc Tran and Tin Nguyen Maintainer: Van-Dung Pham <dvp0001 at auburn.edu> License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] NeedsCompilation: yes Citation: PINSPlus citation info In views: Omics CRAN checks: PINSPlus results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=PINSPlus to link to this page.
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