split

The <code>exprso</code> package includes these split modules:
- <code><a rd-options="" href="/link/splitSample?package=exprso&version=0.2.0" data-mini-rdoc="exprso::splitSample">splitSample</a></code>
- <code><a rd-options="" href="/link/splitStratify?package=exprso&version=0.2.0" data-mini-rdoc="exprso::splitStratify">splitStratify</a></code>

Supervised machine learning has an increasingly important role in data
analysis. This package introduces a framework for rapidly implementing supervised
machine learning in a high-throughput manner. 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

split function

The <code>exprso</code> package includes these split modules:
- <code><a rd-options='' href='splitSample'>splitSample</a></code>
- <code><a rd-options='' href='splitStratify'>splitStratify</a></code>

split: Split Data

Description

Arguments