arrayMulti

datasets

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

arrayMulti function

<p>An object of class <code>ExprsMulti</code> of length 1.</p>

Format

Sample ExprsMulti Data — arrayMulti

Sample ExprsMulti Data

arrayMulti: Sample ExprsMulti Data

Description

Usage

Arguments

Format