“…The conventional clustering methods such as hierarchical clustering [139], k-means algorithm [141], self-organizing map [334], principal component analysis [223], graph theoretical approaches [30,36,135,310,372,373,381,384], modelbased clustering [66,103,114,145,222,224,341,352,371,382,383], densitybased approaches [156], fuzzy clustering algorithms [50, 83,113], and rough-fuzzy clustering algorithms [212,213] group coexpressed genes from microarray data. Different supervised gene clustering algorithms are also developed in [84,136,204,205] to find coregulated gene clusters by incorporating the information of sample categories in gene clustering process.…”