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richCluster (version 1.0.2)

Fast, Robust Clustering Algorithms for Gene Enrichment Data

Description

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.

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Version

Install

install.packages('richCluster')

Version

1.0.2

License

GPL-3

Issues

0

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Maintainer

Junguk Hur

Last Published

December 18th, 2025

Functions in richCluster (1.0.2)

plot_network_graph

Plot Network Graph for a Cluster
richCluster-package

richCluster: clustering and visualization utilities
cluster_correlation_hmap

Create a Correlation Heatmap for a Specific Cluster
cluster

Cluster Terms from Enrichment Results
compare_network_graphs_plotly

Compare Network Graphs using Plotly
cluster_hmap

Create a Heatmap of Clustered Enrichment Results
cluster_dot

Cluster-level Dot Plot of Enrichment Significance
cluster_network

Create a Network Graph for a Specific Cluster
david_cluster

Cluster Terms using DAVID's method
full_network

Create a Network Graph for the Entire Distance Matrix
format_colnames

Format Column Names for Merging
export_df

Export Cluster Result as Dataframe
term_hmap

Generate a Heatmap of Enrichment Results for Specific Clusters and Terms
term_dot

Term-level Dot Plot for a Specific Cluster
filter_clusters

Filter Clusters by Number of Terms
runRichCluster

Run clustering in C++ backend
term_bar

Term-level Bar Plot for a Specific Cluster
cluster_bar

Cluster-level Bar Plot of Enrichment Significance
load_all

Load all R scripts in subdirectories
merge_enrichment_results

Merge List of Enrichment Results