Figure 1
From: Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression
The modular analysis pipeline. Diagram shows identification of candidate disease-associated genes as potential module biomarker based on integrative analysis of the reconstructed human prostate cancer protein-protein interaction network (HPC-PPIN) and the different phases of gene expression profiles of prostate cancer. The threshold for greedy algorithm via Cytoscape jActiveModules (jAM) plugin for the most significant core sub-networks analysis in each gene expression profile was set to three iterations and top ten ranks.