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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 |
| Author: |
Junguk Hur  [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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=richCluster
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.