app_heatmap

Generate a <code>shiny</code> interactive heatmap that allows for on demand
 filtering, ordering and faceting by variables of interest.

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 

app_heatmap function

<dl><dt>tomic</dt>
<dd>Either a <code>tidy_omic</code> or <code>triple_omic</code> object</dd></dl>

Arguments

Interactive Heatmap — app_heatmap

<dl>

<dt>tomic</dt>
<dd>Either a <code>tidy_omic</code> or <code>triple_omic</code> object</dd>

</dl>

app_heatmap: Interactive Heatmap

Description

Usage

Value

Arguments

Examples