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Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer
2016
Computational and Mathematical Methods in Medicine
Purpose. The objective of our study was to predicate candidate genes in cervical cancer (CC) using a network-based strategy and to understand the pathogenic process of CC.Methods. A pathogenic network of CC was extracted based on known pathogenic genes (seed genes) and differentially expressed genes (DEGs) between CC and normal controls. Subsequently, cluster analysis was performed to identify the subnetworks in the pathogenic network using ClusterONE. Each gene in the pathogenic network was
doi:10.1155/2016/3186051
pmid:27034707
pmcid:PMC4789371
fatcat:xrtl2m5h65bnvn2pwdbqssuu6a