Identifying microRNAs that are associated with different diseases as biomarkers is a problem of great medical significance. Existing computational methods for uncovering such microRNA-diseases associations (MDAs) are mostly developed under the assumption that similar microRNAs tend to associate with similar diseases. Since such an assumption is not always valid, these methods may not always be applicable to all kinds of MDAs. Considering that the relationship between long noncoding RNA (lncRNA) and different diseases and the co-regulation relationships between the biological functions of lncRNA and microRNA have been established, we propose here a multiview multitask method to make use of the known lncRNA–microRNA interaction to predict MDAs on a large scale. The investigation is performed in the absence of complete information of microRNAs and any similarity measurement for it and to the best knowledge, the work represents the first ever attempt to discover MDAs based on lncRNA–microRNA interactions.

中文翻译：

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通过多视图多任务学习从 lncRNA-microRNA 相互作用预测 microRNA-疾病关联。

识别与不同疾病相关的 microRNA 作为生物标志物是一个具有重要医学意义的问题。现有的用于揭示此类 microRNA 与疾病关联 (MDA) 的计算方法主要是在类似 microRNA 倾向于与类似疾病相关的假设下开发的。由于这样的假设并不总是有效，这些方法可能并不总是适用于所有类型的 MDA。考虑到长链非编码 RNA (lncRNA) 与不同疾病之间的关系以及 lncRNA 和 microRNA 的生物学功能之间的共调节关系已经建立，我们在这里提出了一种多视角多任务方法，利用已知的 lncRNA-microRNA 相互作用来大规模预测 MDA。