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- W3032246930 abstract "ObjectiveTo explore the modularized molecular coordination mechanisms of ovarian cancer by analyzing the whole genome expression network.MethodsFirst, We extracted the list of differentially expressed genes by using the adjusted t-test and fold change, and defined the 2313 differentially expressed genes as the initial seed genes. Second, we used PPI knowledge as a guide to expand these genes into a network(s). Third, we used the Newman’s spectrum algorithm to decompose the primary network into the most compacted modules(sub-network) with high modularity.ResultsTotally, we identified 32 functional modules and 201 hub genes for ovarian cancer. Interestingly, we also found that these modules are involved in known cancer pathways (e.g. PI3K-Akt signaling pathway, P53 signaling pathway), and related to some unknown molecular pathways (e.g. Melanogenesis pathway, RAS signaling pathway).ConclusionThis article identifies multiple ovarian cancer gene function modules, which can provide clues for the molecular pathogenesis of ovarian cancer.Key words: Ovarian cancer; Gene chip; Functional modules; Network analysis" @default.
- W3032246930 created "2020-06-05" @default.
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- W3032246930 date "2018-12-15" @default.
- W3032246930 modified "2023-09-28" @default.
- W3032246930 title "Identification of functional modules in ovarian cancer based on Newman spectrum algorithm" @default.
- W3032246930 doi "https://doi.org/10.3760/cma.j.issn.1673-4386.2018.06.002" @default.
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