Abstract: To integrate information of several weighted genes associated networks (WGAN), this paper proposes a network data integration method based on information entropy. This method uses information entropy to depict uncertain degree of gene-gene links, and thus realizes the integration of four existing human weighted genes associated network to construct a larger WGAN network which includes richer biology information. This new WGAN network contains more edges than each of the original network, and the edge weights have higher biological relevance than in the original networks. It also exhibits more satisfactory performance in disease genes prediction.