NetAttr-class

NetAttr


S4 class for storing some network characteristics of the top ranked genes


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

NetAttr-class function

The following slots are defined for <a rd-options="" href="/link/NetAttr?package=mAPKL&version=1.2.0" data-mini-rdoc="mAPKL::NetAttr">NetAttr</a> objects:
    <dl>
    <dt><code>edgelist</code>:</dt><dd>The Node1 & Node2 & Weight edgelist matrix</dd> <dt><code>degree</code>:</dt><dd>The Local, Global and their Weighted values of the
    "degree" characteristic</dd> <dt><code>closeness</code>:</dt><dd>The Weighted values of the Local and Global
    "closeness" characteristic</dd> <dt><code>betweenness</code>:</dt><dd>The Weighted values of the Local and Global
    "betweenness" characteristic</dd> <dt><code>transitivity</code>:</dt><dd>The Weighted values of the Local and Global
    "transitivity" characteristic</dd> </dl> 

NetAttr-class: Class "NetAttr"

Description

Arguments

Slots