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yaConsensus
View on CRAN: Click
here
Download and install yaConsensus package within the R console
Install from CRAN:
install.packages("yaConsensus")
Install from Github:
library("remotes")
install_github("cran/yaConsensus") Install by package version:
library("remotes")
install_version("yaConsensus", "1.1") Attach the package and use:
library("yaConsensus")
Maintained by
Stefano Maria Pagnotta
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-01
Latest Update: 2025-04-02
Description:
Procedures to perform consensus clustering starting from a dissimilarity matrix or a data matrix. It's allowed to select if the subsampling has to be by samples or features. In case of computational heavy load, the procedures can run in parallel.
How to cite:
Stefano Maria Pagnotta (2021). yaConsensus: Consensus Clustering of Omic Data. R package version 1.1, https://cran.r-project.org/web/packages/yaConsensus. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2021-07-01 09:40)
Other packages that cited yaConsensus R package
View yaConsensus citation profile
Other R packages that yaConsensus depends,
imports, suggests or enhances
Complete documentation for yaConsensus
Functions, R codes and Examples using
the yaConsensus R package
Some associated functions: consensus.diss . plot.yaConsensus . yaConsensus .
Some associated R codes: cal_entropy.R . ccolors.R . consensus.byFeature.R . consensus.bySample.R . consensus.diss.R . get_cluster_accuracy.R . get_cluster_purity.R . get_consensus_dissimilarity.R . get_metrics.R . match_colors.R . plot.yaConsensus.R . print.yaConsensus.R . print.yaConsensus_plot.R . summary.yaConsensus.R . summary.yaConsensus_plot.R . yaConsensus.R . Full yaConsensus package functions and examples
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