fsPropd

Specifies the <code>ExprsArray</code> object to undergo feature selection.

object

A numeric scalar or character vector. A numeric scalar indicates
the number of top features that should undergo feature selection. A character vector
indicates specifically which features by name should undergo feature selection.
Set <code>top = 0</code> to include all features. A numeric vector can also be used
to indicate specific features by location, similar to a character vector.

<code>fsPropd</code> selects features using the <code>propd</code> function
 from the <code>propr</code> package.

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

fsPropd: Select Features by Differential Proportionality Analysis

Description

Usage

Arguments

Value