Fast, Robust Clustering Algorithms for Gene Enrichment Data


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Documentation for package ‘richCluster’ version 1.0.2

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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