cluster_network

This function generates a network graph for a specific cluster based on the provided distance matrix.
The opacity and length of the edges correspond to the given distance_metric (eg, kappa) score similarity 
between terms, which is based on shared gene content.

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.

Junguk Hur

richCluster

Fast, Robust Clustering Algorithms for Gene Enrichment Data

Sarah Hong

Jane Kim

cluster_network function

<dl><dt>final_clusters</dt>
<dd>A dataframe containing the final cluster data.</dd>
<dt>distance_matrix</dt>
<dd>A matrix representing the distances between terms.</dd>
<dt>cluster_number</dt>
<dd>An integer specifying the cluster number to visualize.</dd>
<dt>merged_df</dt>
<dd>A dataframe with all terms used to map term indices to names.</dd></dl>

Arguments

Create a Network Graph for a Specific Cluster — cluster_network

<dl>

<dt>final_clusters</dt>
<dd>A dataframe containing the final cluster data.</dd>


<dt>distance_matrix</dt>
<dd>A matrix representing the distances between terms.</dd>


<dt>cluster_number</dt>
<dd>An integer specifying the cluster number to visualize.</dd>


<dt>merged_df</dt>
<dd>A dataframe with all terms used to map term indices to names.</dd>

</dl>

cluster_network: Create a Network Graph for a Specific Cluster

Description

Usage

Value

Arguments