richCluster: Fast, Robust Clustering Algorithms for Gene Enrichment Data

Fast 'C++' agglomerative hierarchical clustering algorithm packaged into easily callable R functions, designed to help cluster biological terms based on how similar of genes are expressed in their activation.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: dplyr, fields, heatmaply, igraph, iheatmapr, magrittr, networkD3, plotly, Rcpp (≥ 1.0.14), stats, tidyr, viridis
LinkingTo: Rcpp
Suggests: devtools, knitr, rmarkdown, roxygen2, testthat
Published: 2025-12-18
DOI: 10.32614/CRAN.package.richCluster (may not be active yet)
Author: Junguk Hur ORCID iD [aut, cre], Sarah Hong [aut], Jane Kim [aut]
Maintainer: Junguk Hur <hurlabshared at gmail.com>
BugReports: https://github.com/hurlab/richCluster/issues
License: GPL-3
URL: https://github.com/hurlab/richCluster
NeedsCompilation: yes
CRAN checks: richCluster results

Documentation:

Reference manual: richCluster.html , richCluster.pdf
Vignettes: Workflow: richCluster Example (source, R code)

Downloads:

Package source: richCluster_1.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): richCluster_1.0.2.tgz, r-oldrel (x86_64): richCluster_1.0.2.tgz

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