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Updated: May 31, 2026

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
Gene co-expression network and functional module analysis of ovarian cancer
Shengjun Hong1, Hua Dong, Li Jin
1MOE Key Laboratory of Contemporary Anthropology and State Key, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. shengjun.hong2008@gmail.com
Abstract:
We constructed gene co-expression networks and identified the ovarian cancer-related genes by network structure analysis in two independent ovarian cancer studies. To study the properties of networks, modules were identified and their functions and roles were investigated. Our results showed that the inferred networks were structurally conservative and the identified modules were highly overlapped between two data sets. We discovered 42 common hub genes and four common conserved modules, which were enriched with the genes in four cancer-related pathways in two independent studies. In addition, we detected two ovarian cancer susceptibility genes: CCEN2 and BRIC5.
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