Biclustering Bioinformatics Data Sets: A Possibilistic Approach
The analysis of genomic data from DNA microarray can produce a valuable information on the biological relevance of genes and correlations among them. In the last few years some biclustering techniques have been proposed and applied to this analysis.
The proposed Possibilistic Biclustering algorithm finds one bicluster at a time, assigning a membership to the bicluster for each gene and for each condition. Some results on oligonucleotide microarray data sets will be presented and compared with those obtained using other biclustering methods.