mAPKLRes-class

mAPKLRes

S4 class for storing mAPKL 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

mAPKLRes-class function

The following slots are defined for <a rd-options="" href="/link/mAPKLRes?package=mAPKL&version=1.2.0" data-mini-rdoc="mAPKL::mAPKLRes">mAPKLRes</a> objects:
<dl>
    <dt><code>rankedIntens</code>:</dt><dd>The top N ranked genes along with their
    intensity values</dd> <dt><code>exemplTrain</code>:</dt><dd>An eSet class object formed with the exemplars
    of the training set</dd> <dt><code>exemplTest</code>:</dt><dd>An eSet class object formed with the exemplars
    of the validation set if not NULL</dd> <dt><code>statistic</code>:</dt><dd>A list with the overall results of the "mt.maxT"
    analysis</dd> <dt><code>adjp</code>:</dt><dd>The adjusted p-values according to the statistical
    analysis</dd> <dt><code>pVal</code>:</dt><dd>The raw p-values according to the statistical analysis</dd> <dt><code>fc</code>:</dt><dd>The Fold Change of the exemplars</dd> <dt><code>exemplars</code>:</dt><dd>The selected "significant" probe ids/genes</dd> <dt><code>clusters</code>:</dt><dd>The probe ids/genes per cluster</dd> </dl> 

mAPKLRes-class: Class "mAPKLRes"

Description

Arguments

Slots