Abstract
Gene network is a network that denotes each gene as node and connects pairs of genes by edges. It composes of a large amount of gene cluster, and therefore they contain complex connected elements, which are often difficult to interpret and grasp.This report presents a technique for visualizing hierarchical gene network data, constructed by clustering and networking techniques. The technique assumes that each gene has multiple expression rate values, and they are clustered and networked according to the correlation of the expression rate values. We visualize the data by using the enhanced "HeiankyoView", which has been originally presented as a large-scale hierarchical data visualization technique. Our technique makes easier to analyze specific genes and discover genes which has interesting features.
