@ARTICLE{Santamaria2008b,
  author = {Rodrigo Santamar\'ia and Roberto Ther\'on and Luis Quintales},
  title = {A visual analytics approach for understanding biclustering results
	from microarray data},
  journal = {BMC Bioinformatics},
  year = {2008},
  volume = {9},
  number = {247},
  abstract = { Background
	
	
	Microarray analysis is an important area of bioinformatics. In the
	last few years, biclustering has become one of the most popular
	methods for classifying data from microarrays. Although biclustering
	can be used in any kind of classification problem, nowadays it is
	mostly used for microarray data classification. A large number of
	biclustering algorithms have been developed over the years, however
	little effort has been devoted to the representation of the results.
	
	Results
	
	
	We present an interactive framework that helps to infer differences
	or similarities between biclustering results, to unravel trends
	and to highlight robust groupings of genes and conditions. These
	linked representations of biclusters can complement biological analysis
	and reduce the time spent by specialists on interpreting the results.
	Within the framework, besides other standard representations, a
	visualization technique is presented which is based on a force-directed
	graph where biclusters are represented as flexible overlapped groups
	of genes and conditions. This microarray analysis framework (BicOverlapper),
	is available at http://vis.usal.es/bicoverlapper
	
	Conclusions
	
	
	The main visualization technique, tested with different biclustering
	results on a real dataset, allows researchers to extract interesting
	features of the biclustering results, especially the highlighting
	of overlapping zones that usually represent robust groups of genes
	and/or conditions. The visual analytics methodology will permit
	biology experts to study biclustering results without inspecting
	an overwhelming number of biclusters individually.},
  doi = {10.1186/1471-2105-9-247},
  url = {http://www.biomedcentral.com/1471-2105/9/247}
}