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ClustAll

ClustAll: Data driven strategy to robustly identify stratification of patients within complex diseases

Bioconductor version: 3.24 · Package version: 1.9.0

Data driven strategy to find hidden groups of patients with complex diseases using clinical data. ClustAll facilitates the unsupervised identification of multiple robust stratifications. ClustAll, is able to overcome the most common limitations found when dealing with clinical data (missing values, correlated data, mixed data types).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ClustAll")

Details

MaintainerAsier Ortega-Legarreta <aortegal@navarra.es>
AuthorAsier Ortega-Legarreta [aut, cre] (ORCID: <https://orcid.org/0009-0000-3563-5362>), Sara Palomino-Echeverria [aut]
LicenseGPL-2
Downloads rank330
Source branchdevel
biocViewsClustering, DimensionReduction, PrincipalComponent, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageClustAll_1.9.0.tar.gz
Windows binary (x86_64)ClustAll_1.9.0.zip
macOS binary (arm64)ClustAll_1.9.0.tgz
macOS binary (x86_64)ClustAll_1.9.0.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: FactoMineR, bigstatsr, clValid, doSNOW, parallel, foreach, dplyr, fpc, mice, modeest, flock, networkD3, methods, ComplexHeatmap, cluster, RColorBrewer, circlize, grDevices, ggplot2, grid, stats, utils, pbapply

Suggests: RUnit, knitr, BiocGenerics, rmarkdown, BiocStyle, roxygen2