cluster_correlation_hmap

This function generates a correlation heatmap for a specific cluster based on the provided distance matrix.

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_correlation_hmap 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 Correlation Heatmap for a Specific Cluster — cluster_correlation_hmap

<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_correlation_hmap: Create a Correlation Heatmap for a Specific Cluster

Description

Usage

Value

Arguments