modFilter

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

object

A numeric scalar. The value below which to assign this value.

threshold

A numeric scalar. The value above which to assign this value.

maximum

A numeric scalar. The <code>max - min</code> range above which to
include the feature. Inclusive with <code>beta2</code>.

beta1

A numeric scalar. The <code>max / min</code> ratio above which to
include the feature. Inclusive with <code>beta1</code>.

beta2

<code>modFilter</code> imposes a hard filter for (gene expression) feature data.

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.

modFilter: Hard Filter Data

Description

Usage

Arguments

Value

Details