Consequently, several new methods have been proposed. For example, PeC considers both the edge clustering coefficient and gene expression data (Li et al., 2012), Co-Expression Weighted by Clustering coefficient (CoEWC) (Zhang et al., 2013) integrates clustering coefficient and gene expression data, and another integrated approach proposed by Luo and Ma (2013) combines edge clustering coefficient with complex centrality.