Package: PINSPlus 2.0.7
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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:2b48b77780. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 02 2024 |
Exports:PerturbationClusteringSubtypingOmicsData
Dependencies:clustercodetoolsdoParallelentropyFNNforeachimputeirlbaiteratorslatticeMatrixmatrixStatsmclustRcppRcppArmadilloRcppParallel
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Perturbation Clustering for data INtegration and disease Subtyping | PINSPlus-package PINSPlus |
Acute myelogenous leukemia dataset | AML2004 |
Kidney renal clear cell carcinoma dataset | KIRC |
Perturbation clustering | PerturbationClustering |
Subtyping multi-omics data | SubtypingOmicsData |