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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 |
| Author: | Behnam Yousefi [aut, cre, cph] |
| Maintainer: | Behnam Yousefi <yousefi.bme at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | ConsensusClustering results |
| Reference manual: | ConsensusClustering.pdf |
| 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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