Classify-class

Classify

S4 class for storing Classify analysis results

classes

We propose a hybrid FS method (mAP-KL), which combines multiple hypothesis testing and affinity propagation (AP)-clustering algorithm along with the Krzanowski & Lai cluster quality index, to select a small yet informative subset of genes.

Argiris Sakellariou

mAPKL

A Hybrid Feature Selection method for gene expression data

Classify-class function

The following slots are defined for <a rd-options="" href="/link/Classify?package=mAPKL&version=1.2.0" data-mini-rdoc="mAPKL::Classify">Classify</a> objects:
<dl>
    <dt><code>classL</code>:</dt><dd>Number of samples in the data set</dd> <dt><code>valClassL</code>:</dt><dd>Subset of samples used for leveraged clustering</dd> <dt><code>predLbls</code>:</dt><dd>Vector containing indices of exemplars</dd> <dt><code>AUC</code>:</dt><dd>The Area Under the ROC curve as a degree of samples
    discrimination</dd> <dt><code>Accuracy</code>:</dt><dd>The classification accuracy</dd> <dt><code>MCC</code>:</dt><dd>The MCC classification meassure</dd> <dt><code>Specificity</code>:</dt><dd>The degree of true negative's identification</dd> <dt><code>Sensitivity</code>:</dt><dd>The degree of true positive's identification</dd> </dl> 

Classify-class: Class "Classify"

Description

Arguments

Slots