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ClustAll

This is the released version of ClustAll; for the devel version, see ClustAll.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19

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


Bioconductor version: Release (3.23)

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 iD ORCID: 0009-0000-3563-5362 , Sara Palomino-Echeverria [aut]

Maintainer: Asier Ortega-Legarreta <aortegal at navarra.es>

Citation (from within R, enter citation("ClustAll")):

Asier Ortega-Legarreta, Sara Palomino-Echeverria. ClustAll: ClustAll: Data driven strategy to robustly identify stratification of patients within complex diseases. doi:10.18129/B9.bioc.ClustAll, R package version 1.8.0, https://bioconductor.org/packages/ClustAll.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("ClustAll")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ClustAll")
ClustALL User's Guide HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Clustering, DimensionReduction, PrincipalComponent, Software, StatisticalMethod
Version1.8.0
In Bioconductor sinceBioC 3.19 (R-4.4) (2.5 years)
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
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Suggests RUnit, knitr, BiocGenerics, rmarkdown, BiocStyle, roxygen2
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ClustAll_1.8.0.tar.gz
Windows Binary (x86_64) ClustAll_1.8.0.zip
macOS Binary (big-sur-x86_64) ClustAll_1.8.0.tgz
macOS Binary (sonoma-arm64) ClustAll_1.8.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ClustAll
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ClustAll
Package Short Url https://bioconductor.org/packages/ClustAll/
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