Encoding: UTF-8
Package: PINSPlus
Type: Package
Title: Clustering Algorithm for Data Integration and Disease Subtyping
Version: 2.0.1
Date: 2020-03-30
Author: Bang Tran, Duc Tran, Hung Nguyen and Tin Nguyen
Maintainer: Hung Nguyen <hungnp@nevada.unr.edu>
Description: 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 (Hung Nguyen (2018) <doi:10.1093/bioinformatics/bty1049>, Tin Nguyen (2017) <doi:10.1101/gr.215129.116>). 'PINSPlus' is fast and it supports parallel computing on Windows, Linux, and Mac OS.
License: LGPL
Depends: R (>= 2.10)
Imports: foreach, entropy , doParallel, matrixStats, RcppParallel, FNN,
        cluster
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, survival
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-02 21:06:41 UTC; bya
Repository: CRAN
Date/Publication: 2020-04-02 21:30:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 06:07:15 UTC; windows
Archs: i386, x64
