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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
to link to this page.
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.
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