Evolutionary correlation triclustering for 3d gene expression data

Abstract

Triclustering method is seen as an issue of an optimization problem to discover correlated triclusters with high MCV and high volume. To optimize the tricluster, the Genetic Algorithm (GA) is used. This work dealt with the mining of optimal shifting and scaling patterns from 3D microarray data in the form tricluster. Optimal Tricluster is the tricluster that satisfies the specified objective function. To test the performance, an empirical study of the triclustering algorithm will be attempted at the yeast cell cycle.