ConsensusClustering: Consensus Clustering

Clustering, or cluster analysis, is a widely used technique in bioinformatics to identify groups of similar biological data points. Consensus clustering is an extension to clustering algorithms that aims to construct a robust result from those clustering features that are invariant under different sources of variation. For the reference, please cite the following paper: Yousefi, Melograna, et. al., (2023) <doi:10.3389/fmicb.2023.1170391>.

Version: 1.2.0
Imports: assertthat, dplyr, igraph, cluster, mvtnorm, utils, graphics, stats
Published: 2024-03-05
DOI: NA
Author: Behnam Yousefi [aut, cre, cph]
Maintainer: Behnam Yousefi <yousefi.bme at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: ConsensusClustering results

Documentation:

Reference manual: ConsensusClustering.pdf

Downloads:

Package source: ConsensusClustering_1.2.0.tar.gz
Windows binaries: r-devel: ConsensusClustering_1.2.0.zip, r-release: ConsensusClustering_1.2.0.zip, r-oldrel: ConsensusClustering_1.2.0.zip
macOS binaries: r-release (arm64): ConsensusClustering_1.2.0.tgz, r-oldrel (arm64): ConsensusClustering_1.2.0.tgz, r-release (x86_64): ConsensusClustering_1.2.0.tgz, r-oldrel (x86_64): ConsensusClustering_1.2.0.tgz

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