Universität Bielefeld Electronic Collections animiertes Foto Universität Bielefeld

Access to the Document



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)


Download file

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.


Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
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



 Questions or comments: publikationsdienste.ub@uni-bielefeld.de
 Latest update: 15 Feb 2011
 Legal Notice
OPUS-Logo     OAI compliant      BU Logo
OAI-Logo