Section: New Results

An Hybrid Multiobjective Method to solve Biclustering of Microarray Data

Participants : L. Jourdan, K. Seridia, E.-G. Talbi.

In this work, we propose an a multi-objective genetic algorithm (NSGA-II) with a heuristic to solve the biclutering problem of micro-array data. Due to the huge size of the datasets, we propose a new representation based on a string of integers and the associated operators. Experimental results on real data set show that our approach can find significant biclusters of high quality.