Abstract: Microarray technologies are emerging as a promising tool for genomic studies. Today the challenge is how to analyze the resulting amounts of data. For this purpose clustering technologies have been applied to this field, but fuzy clustering technology analysis has not been used for microarray gene expression data. in this paper the fuzzy c-mean(FCM) clustering method is used to analyze such data in order to detect differentially expressed genes. Our results indicate that fuzzy clustering can be a useful tool to exploit the differential gene expression for microarray data.

Key words: microarray gene expression data, fuzzy c-mean(FCM) clustering, differential gene expression