An evolutionary and visual framework for clustering of DNA microarray data.
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.
University of Valladolid, Department of Computer Science, Plaza Alto de los Leones, 1 - 40005 Segovia (Spain).
José A
JA
Castellanos-Garzón
Fernando
F
Díaz
D000465:Algorithms; D016000:Cluster Analysis; D019143:Evolution, Molecular; D009154:Mutation; D020411:Oligonucleotide Array Sequence Analysis