HGPEC

Finding gene-disease and disease-disease associations are important issues in the biomedical area and many prioritization methods have been proposed for this goal. Among these, approaches based on heterogeneous network of genes and phenotypes were considered state-of-the-art ones, which can use for diseases with/without known molecular basis. Here, we develop a Cytoscape plugin, namely HGPEC, based on a ran-dom walk with restart algorithm on a heterogeneous network of genes and phenotypes. This plugin can prioritize candidate genes and phenotypes by employing a heterogeneous net-work consisting a network of genes/proteins and a phenotype similarity network. Based on the rankings, novel putative gene-disease and disease-disease associations can be identified. These associations can be supported with network-based visualization and evidences and annotations from biomedical data