modHistory

modHistory,ExprsArray-method

An <code>ExprsArray</code> object. The validation set that should undergo
feature selection and dimension reduction.

object

An <code>ExprsArray</code> or <code>ExprsModel</code> object. The object with
feature selection history used as a template for the validation set.

reference


Duplicates the feature selection history of a reference <code>ExprsArray</code>
 object. Called directly by <code>predict.ExprsMachine</code> and indirectly by
 <code>predict.ExprsModule</code>. Ensures that the validation set has undergone
 the same steps of feature selection and dimension reduction as the
 training set.


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

modHistory function

<ul>
<li> <code>ExprsArray</code>: Method to duplicate <code>ExprsArray</code> feature selection history.
</li>
</ul>

modHistory: Duplicate Feature Selection History

Description

Usage

Arguments

Value

Methods (by class)

See Also