Fast, Robust Clustering Algorithms for Gene Enrichment Data
Cluster-level Bar Plot of Enrichment Significance
Create a Correlation Heatmap for a Specific Cluster
Cluster-level Dot Plot of Enrichment Significance
Create a Heatmap of Clustered Enrichment Results
Create a Network Graph for a Specific Cluster
Cluster Terms from Enrichment Results
Compare Network Graphs using Plotly
Cluster Terms using DAVID's method
Export Cluster Result as Dataframe
Filter Clusters by Number of Terms
Format Column Names for Merging
Create a Network Graph for the Entire Distance Matrix
Load all R scripts in subdirectories
Merge List of Enrichment Results
Plot Network Graph for a Cluster
richCluster: clustering and visualization utilities
Run clustering in C++ backend
Term-level Bar Plot for a Specific Cluster
Term-level Dot Plot for a Specific Cluster
Generate a Heatmap of Enrichment Results for Specific Clusters and Ter...
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.