Differential Co-expression Analysis of Breast Cancer Based on a Meta-module Recovery Method

The problem of potential biomarkers in breast cancer is investigated in this paper. A meta-module recovery method is proposed to explore potential biomarkers. Firstly, meta-modules are constructed using Differential Correlation in Expression for meta-module Recovery (DICER) method. Then, enrichment analysis is performed on these modules. Enrichment analysis shows that the genes in the module are mainly involved in some biological processes and pathways. Finally, a protein-protein interaction (PPI) network of related genes is established and 10 key genes in this network are identified. Survival analysis shows that there are obvious links between 5 genes and the prognosis of patients.