getFeatures

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

object

See <code><a rd-options="" href="/link/ExprsPipeline-class?package=exprso&version=0.1.8" data-mini-rdoc="exprso::ExprsPipeline-class">ExprsPipeline-class</a></code> or
<code><a rd-options="" href="/link/ExprsEnsemble-class?package=exprso&version=0.1.8" data-mini-rdoc="exprso::ExprsEnsemble-class">ExprsEnsemble-class</a></code>.

See the respective S4 class for method details.

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

getFeatures function

See <code><a rd-options='' href='ExprsPipeline-class'>ExprsPipeline-class</a></code> or
<code><a rd-options='' href='ExprsEnsemble-class'>ExprsEnsemble-class</a></code>.

getFeatures: Retrieve Feature Set

Description

Usage

Arguments

See Also