This is the development version of ClustAll; for the stable release version, see ClustAll.
ClustAll: Data driven strategy to robustly identify stratification of patients within complex diseasesBioconductor version: Development (3.22)
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).
Author: Asier Ortega-Legarreta [aut, cre] ORCID: 0009-0000-3563-5362 , Sara Palomino-Echeverria [aut]
Maintainer: Asier Ortega-Legarreta <aortegal at navarra.es>
Citation (from within R, entercitation("ClustAll")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ClustAll")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ClustAll")
Details biocViews Clustering, DimensionReduction, PrincipalComponent, Software, StatisticalMethod Version 1.5.0 In Bioconductor since BioC 3.19 (R-4.4) (1 year) License GPL-2 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 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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