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An Evolutionary and Visual Framework for Clustering of DNA Microarray Data

Castellanos-Garzón, José A. ; Díaz, Fernando

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)



Abstract:
his 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.


Beteiligte Einrichtung: Technische Fakultät, Arbeitsgruppen der Informatik
DDC-Sachgruppe: Datenverarbeitung, Informatik

Zitat-Vorschlag:
Castellanos-Garzón, José A. ; Díaz, Fernando  (2013)  An Evolutionary and Visual Framework for Clustering of DNA Microarray Data. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 10(3): Special Issue: Selected extended papers of the 7th International Conference on Practical Applications of Computational Biology and Bioinformatics, Salamanca, Spain, 2013

Online-Journal: http://journal.imbio.de/article.php?aid=232
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2013/5310



 Fragen und Anregungen an: publikationsdienste.ub@uni-bielefeld.de
 Letzte Änderung: 15.2.2011
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