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ConsensusClustering  

Consensus Clustering
View on CRAN: Click here


Download and install ConsensusClustering package within the R console
Install from CRAN:
install.packages("ConsensusClustering")

Install from Github:
library("remotes")
install_github("cran/ConsensusClustering")

Install by package version:
library("remotes")
install_version("ConsensusClustering", "1.5.0")



Attach the package and use:
library("ConsensusClustering")
Maintained by
Behnam Yousefi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-05
Latest Update: 2024-03-05
Description:
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) .
How to cite:
Behnam Yousefi (2024). ConsensusClustering: Consensus Clustering. R package version 1.5.0, https://cran.r-project.org/web/packages/ConsensusClustering. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.2.0 (2024-03-05 12:20)
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Complete documentation for ConsensusClustering
Functions, R codes and Examples using the ConsensusClustering R package
Full ConsensusClustering package functions and examples
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