featureSelectionOptions-class

getOptionValues,featureSelectionOptions-method

This virtual class has two descendants: geneSubsets and thresholds.
As a virtual class, you can't create an object of class featureSelectionOptions.

classes

Microarray Classification is designed for both biologists and statisticians.
It offers the ability to train a classifier on a labelled microarray dataset and to then use
that classifier to predict the class of new observations. A range of modern classifiers are available, including
support vector machines (SVMs), nearest shrunken centroids (NSCs)... Advanced methods are provided to estimate
the predictive error rate and to report the  subset of genes which appear essential in discriminating between classes.

Camille Maumet

Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

featureSelectionOptions-class function

<dl>
    <dt><code>optionValues</code>:</dt><dd><code>numeric</code> (vector). Value of the possible options</dd> <dt><code>noOfOptions</code>:</dt><dd><code>numeric</code>. Total number of options</dd> </dl> 

Slots

<dl>
    <dt><code>getOptionValues(featureSelectionOptions)</code></dt><dd>
    Retreive the value of options (slot optionValues)</dd> <dt><code>getNoOfOptions(featureSelectionOptions)</code></dt><dd>Retreive
    the number of options (slot featureSelectionOptions)</dd> </dl> 

Methods

This virtual class has two descendants: geneSubsets and thresholds.
As a virtual class, you can't create an object of class featureSelectionOptions.

featureSelectionOptions-class: "featureSelectionOptions": A virtual class to store the options of a feature selection

Description

Arguments

Slots

Methods

See Also