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An Evolutionary and Visual Framework for Clustering of DNA Microarray Data

Authors
  • Castellanos-Garzón, José A.
  • Díaz, Fernando
Type
Published Article
Journal
Journal of Integrative Bioinformatics
Publisher
IMBio e.V.
Publication Date
Dec 01, 2013
Volume
10
Issue
3
Pages
51–65
Identifiers
DOI: 10.2390/biecoll-jib-2013-232
Source
De Gruyter
License
Green

Abstract

This paper presents a case study to show the competence of our evolutionary and visual framework for cluster analysis of DNA microarray data. The proposed framework joins a genetic algorithm for hierarchical clustering with a set of visual components of cluster tasks given by a tool. The cluster visualization tool allows us to display different views of clustering results as a means of cluster visual validation. The results of the genetic algorithm for clustering have shown that it can find better solutions than the other methods for the selected data set. Thus, this shows the reliability of the proposed framework.

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