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Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph

机译:二分图中大规模miRNA-lncRNA相互作用网络的新型链接预测

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摘要

BackgroundCurrent knowledge and data on miRNA-lncRNA interactions is still limited and little effort has been made to predict target lncRNAs of miRNAs. Accumulating evidences suggest that the interaction patterns between lncRNAs and miRNAs are closely related to relative expression level, forming a titration mechanism. It could provide an effective approach for characteristic feature extraction. In addition, using the coding non-coding co-expression network and sequence data could also help to measure the similarities among miRNAs and lncRNAs. By mathematically analyzing these types of similarities, we come up with two findings that (i) lncRNAs/miRNAs tend to collaboratively interact with miRNAs/lncRNAs of similar expression profiles, and vice versa, and (ii) those miRNAs interacting with a cluster of common target genes tend to jointly target at the common lncRNAs.
机译:背景技术关于miRNA-lncRNA相互作用的当前知识和数据仍然有限,并且很少做出努力来预测miRNA的靶lncRNA。越来越多的证据表明,lncRNA和miRNA之间的相互作用模式与相对表达水平密切相关,形成了一种滴定机制。它可以为特征特征提取提供有效的方法。此外,使用编码非编码共表达网络和序列数据还可以帮助测量miRNA和lncRNA之间的相似性。通过数学分析这些相似性类型,我们得出两个发现:(i)lncRNA / miRNA倾向于与相似表达谱的miRNA / lncRNA协同相互作用,反之亦然;(ii)这些miRNA与常见的簇相互作用靶基因倾向于共同靶向常见的lncRNA。

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