Paper Info
Title
An Evolutionary And Visual Framework For Clustering Of Dna Microarray Data
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.
Year
DOI
Venue
2013
10.2390/biecoll-jib-2013-232
JOURNAL OF INTEGRATIVE BIOINFORMATICS
Field
DocType
Volume
Data mining,Dna microarray data,Computer science,Bioinformatics,Cluster analysis
Journal
10
Issue
ISSN
Citations 
3
1613-4516
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
José A. Castellanos-Garzon100.34
Fernando DíAz2302.53