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Analysis of Biclustering Algorithm using Synthetic Data
International Journal of Computational Intelligence and Informatics
Biclustering technique is an alternate approach for standard clustering methods, which helps to identify the local structures from the gene expression data. These local structures provide information about main biological functions that linked with the physiological states. Biclustering method clusters the rows and column concurrently. Most of the biclustering algorithm works based on the various scores like mean square residue, variance, co-variance etc. For calculating these scores many offatcat:5hshax7fmnaapdvfgbkenzmlxa