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. 'PINSPlus' is fast and it supports parallel computing on Windows, Linux, and Mac OS.

Author: Bang Tran, Duc Tran, Hung Nguyen and Tin Nguyen
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.
Imports: foreach, entropy , doParallel, matrixStats, RcppParallel, FNN,

Author: Hung Nguyen, Bang Tran, Duc Tran and Tin Nguyen
Description: 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
Imports: foreach, entropy , doParallel, matrixStats, Rcpp,
RcppParallel, FNN, cluster, irlba, mclust

Description: 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>).