Article
Identification of breast cancer risk modules via an integrated strategy.
Aging - 20 Dec 2019
Li Wan, Deng Gui, Zhang Ji, Hu Erqiang, He Yuehan, Lv Junjie, Sun Xilin, Wang Kai, Chen Lina
Abstract excerpt
Breast cancer is one of the most common malignant cancers among females worldwide. This complex disease is not caused by a single gene, but resulted from multi-gene interactions, which could be represented by biological networks. Network modules are composed of genes with significant similarities in terms of expression, function and disease association. Therefore, the identification of disease risk modules could...
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