Package: PINSPlus 2.0.7

Van-Dung Pham

PINSPlus: Clustering Algorithm for Data Integration and Disease Subtyping

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>).

Authors:Hung Nguyen, Bang Tran, Duc Tran and Tin Nguyen

PINSPlus_2.0.7.tar.gz
PINSPlus_2.0.7.tar.gz(r-4.5-noble)PINSPlus_2.0.7.tar.gz(r-4.4-noble)
PINSPlus_2.0.7.tgz(r-4.4-emscripten)PINSPlus_2.0.7.tgz(r-4.3-emscripten)
PINSPlus.pdf |PINSPlus.html
PINSPlus/json (API)

# Install 'PINSPlus' in R:
install.packages('PINSPlus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • AML2004 - Acute myelogenous leukemia dataset
  • KIRC - Kidney renal clear cell carcinoma dataset

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

3.42 score 1 packages 29 scripts 388 downloads 3 mentions 2 exports 16 dependencies

Last updated 8 months agofrom:2b48b77780. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linux-x86_64NOTEDec 02 2024

Exports:PerturbationClusteringSubtypingOmicsData

Dependencies:clustercodetoolsdoParallelentropyFNNforeachimputeirlbaiteratorslatticeMatrixmatrixStatsmclustRcppRcppArmadilloRcppParallel

PINSPlus: Clustering Algorithm for Data Integration and Disease Subtyping

Rendered fromPINSPlus.Rmdusingknitr::knitron Dec 02 2024.

Last update: 2021-12-14
Started: 2018-03-16