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2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology
In a gene expression data matrix a bicluster is a sub-matrix of genes and conditions that exhibits a high correlation of expression activity across both rows and columns. The premise behind biclustering is that even related genes may only be expressed in a synchronized fashion over certain conditions. Conventional clustering groups over all features and may not capture these local relationships. Biclustering has the potential to retrieve these local signals and also to model overlapping groupsdoi:10.1109/cibcb.2006.330995 fatcat:3nidgcvumfaqvg7uflsup3tx6u