R: Fast, Robust Clustering Algorithms for Gene Enrichment Data

# Fast, Robust Clustering Algorithms for Gene Enrichment Data

## Documentation for package ‘richCluster’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

cluster | Cluster Terms from Enrichment Results
cluster_bar | Cluster-level Bar Plot of Enrichment Significance
cluster_correlation_hmap | Create a Correlation Heatmap for a Specific Cluster
cluster_dot | Cluster-level Dot Plot of Enrichment Significance
cluster_hmap | Create a Heatmap of Clustered Enrichment Results
cluster_network | Create a Network Graph for a Specific Cluster
compare_network_graphs_plotly | Compare Network Graphs using Plotly
david_cluster | Cluster Terms using DAVID's method
export_df | Export Cluster Result as Dataframe
filter_clusters | Filter Clusters by Number of Terms
format_colnames | Format Column Names for Merging
full_network | Create a Network Graph for the Entire Distance Matrix
merge_enrichment_results | Merge List of Enrichment Results
plot_network_graph | Plot Network Graph for a Cluster
runRichCluster | Run clustering in C++ backend
term_bar | Term-level Bar Plot for a Specific Cluster
term_dot | Term-level Dot Plot for a Specific Cluster
term_hmap | Generate a Heatmap of Enrichment Results for Specific Clusters and Terms