Gene Expression Data Clustering

Abstract

Gene expression analysis is becoming very important in order to understand complex living organisms. Rather than analyzing genes individually, there is more powerful approach, microarray technology to analyze the genes expression in high throughput. This new approach brings new analyses problems that make the interpretation difficult. To understand the correlated gene expression analysis easier some clustering methods are applied to the gene expression analysis. In this paper, different approach is represented to start to cluster with using some computational strategies.