Do a visual analytics approach for understanding biclustering results from microarray data?
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.
Given our infrastructure, we are well positioned to further develop and standardise appropriate medical specialty psychiatric diagnosis. This is more fruitful than ongoing criticism of DSM.