Bladder Cancer Specific Pathway Interaction Networks

摘要: With the development of high-throughput technologies, monitoring biological systems comprehensively has became feasible and affordable. However, transition from highthroughput data to underlying biology various phenotypes remains challenging. Pathway analysis identifies processes that are associated with a particular phenotype, which provides insights into mechanisms. Therefore, pathway popular tool for analyzing data. Most existing methods based on simple assumption pathways act in isolation whereas they cooperate each other complex manner. In this study, we focus interactions bladder cancer risk. We identify disease-specific pathway-pathway SNP-SNP gene-gene coexpression relationships. By structure interaction networks, highlight “central” should be further studied.