modSample

An <code>ExprsArray</code> object to undergo pre-processing.

object

A numeric scalar. The number of randomly sampled features
to include in the pre-processed <code>ExprsArray</code> object.

size

<code>modSample</code> samples features from a data set randomly without
 replacement. When <code>size = 0</code>, this is equivalent to
 <code>fsSample, top = 0</code>, but much quicker.

Supervised machine learning has an increasingly important role in data
analysis. This package introduces a framework for rapidly building and deploying
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, as well as regression, with minimal
programming experience necessary.

Thomas Quinn

modSample: Sample Features from Data

Description

Usage

Arguments

Value