modSubset

pipeSubset

An <code>ExprsArray</code> or <code>ExprsPipeline</code> object to subset.

object

A numeric or character index. The column that contains group annotations.

colBy

A character vector. Specifies which annotations in <code>colBy</code>
to include in the subset.

include


<code>modSubset</code> function provides a tidy wrapper for the <code>ExprsArray</code>
 <code>subset</code> method. <code>pipeSubset</code> provides a tidy wrapper for the
 <code>ExprsPipeline</code> <code>subset</code> method.


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

modSubset function

<ul>
<li> <code>pipeSubset</code>: The <code>ExprsPipeline</code> analogue of <code>modSubset</code>.
</li>
</ul>

modSubset: Tidy Subset Wrapper

Description

Usage

Arguments

Value

Functions