MicroRNA (miRNA) sponges’ regulatory mechanisms play an important role in developing human cancer. Herein, we develop a new method to explore potential miRNA sponge interactions (EPMSIs) for breast cancer. Based on some known interactions, and a matching gene expression profile, EPMSIs explored other potential miRNA sponge interactions for breast cancer. Every interaction is inferred with a value representing interaction intensity. Then, we apply a clustering algorithm called BCPlaid to potential interactions. Ten modules are identified; nine of them are closely associated with biological enrichments. When we employ a classification algorithm to separate normal and tumor samples in each module, each module demonstrates powerful classification performance. Furthermore, EPMSI illustrates a new method to explore the miRNA sponge regulatory network for breast cancer by applying its superior performance.

中文翻译：

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基于一些已知相互作用探索乳腺癌潜在的microRNA海绵相互作用

MicroRNA (miRNA) 海绵的调控机制在人类癌症的发展中发挥着重要作用。在此，我们开发了一种新方法来探索乳腺癌的潜在 miRNA 海绵相互作用 (EPMSI)。基于一些已知的相互作用和匹配的基因表达谱，EPMSIs 探索了乳腺癌的其他潜在 miRNA 海绵相互作用。每个交互都用一个表示交互强度的值来推断。然后，我们将一种称为 BCPlaid 的聚类算法应用于潜在的交互。确定了十个模块；其中九个与生物富集密切相关。当我们采用分类算法将每个模块中的正常样本和肿瘤样本分开时，每个模块都表现出强大的分类性能。此外，