sort_triple_hclust

Sort a <code>triple_omic</code> object using hierarchical clustering

Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.

Sean Hackett

romic

R for High-Dimensional Omic Data

Calico Life Sciences LLC 

sort_triple_hclust function

<dl><dt>triple_omic</dt>
<dd>an object of class triple_omic produced by
<code>create_triple_omic</code></dd>
<dt>sort_table</dt>
<dd>samples or features</dd>
<dt>value_var</dt>
<dd>An abundance value to use with <code>hclust</code></dd></dl>

Arguments

Sort Triple Hclust — sort_triple_hclust

<dl>

<dt>triple_omic</dt>
<dd>an object of class triple_omic produced by
<code>create_triple_omic</code></dd>


<dt>sort_table</dt>
<dd>samples or features</dd>


<dt>value_var</dt>
<dd>An abundance value to use with <code>hclust</code></dd>

</dl>

sort_triple_hclust: Sort Triple Hclust

Description

Usage

Value

Arguments