DataLD-class

DataLD

S4 class for storing DataLD 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

DataLD-class function

The following slots are defined for <a rd-options="" href="/link/DataLD?package=mAPKL&version=1.2.0" data-mini-rdoc="mAPKL::DataLD">DataLD</a> objects:
    <dl>
        <dt><code>trainObj</code>:</dt><dd>An eSet class object of a training set</dd> <dt><code>valObj</code>:</dt><dd>An eSet class object of a validation set</dd> </dl> 

DataLD-class: Class "DataLD"

Description

Arguments

Slots