Analysis of Biclustering Algorithm using Synthetic Data

S Guru, T Marimuthu, R Lawrance
2015 International Journal of Computational Intelligence and Informatics   unpublished
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 of
more » ... algorithms follow Cheng and Church algorithm. In this work, we review the Cheng and Church algorithm and demonstrate the working procedure of the same. We have formed the synthetic data for showing the results of Cheng and Church algorithm. The results of this work clearly derived the constant and additive bicluster patterns.