ExprsEnsemble-class

getFeatures,ExprsEnsemble-method

show,ExprsEnsemble-method

An <code>ExprsArray</code>, <code>ExprsModel</code>, <code>ExprsPipeline</code>,
or <code>ExprsEnsemble</code> object.

object

A numeric scalar. The i-th model from which to retrieve features.
If missing, <code>getFeatures</code> will tabulate features across all models.

index

An S4 class to store multiple classification models

Supervised machine learning has an increasingly important role in biological
studies. However, the sheer complexity of classification pipelines poses a significant
barrier to the expert biologist unfamiliar with machine learning. Moreover,
many biologists lack the time or technical skills necessary to establish their own
pipelines. This package introduces a framework for the rapid implementation of
high-throughput supervised machine learning built with the biologist user in mind.
Written by biologists, for biologists, this package provides a user-friendly interface
that empowers investigators to execute state-of-the-art binary and multi-class
classification, including deep learning, with minimal programming
experience necessary.

Thomas Quinn

exprso

Rapid Implementation of Machine Learning Algorithms for Genomic
Data

Daniel Tylee

ExprsEnsemble-class function

<ul>
<li><code>show</code>: Method to show <code>ExprsEnsemble</code> object.</li>
<li><code>getFeatures</code>: Method to return features within an <code>ExprsEnsemble</code> model.</li>
</ul>

Methods (by generic)

<dl class="dl-horizontal">
<dt><code>machs</code></dt><dd>Typically a list. Stores the classification models
referenced in <code>summary</code> slot.</dd>
</dl>

ExprsEnsemble-class: An S4 class to store multiple classification models

Description

Usage

Arguments

Methods (by generic)

Slots

See Also