中文摘要：

micr0RNA（miRNA）是一类内源性非编码小RNA，主要通过降解靶基因或抑制靶基因的翻译而调控表达。由于其作用机制复杂，目前尚未发现高效而低成本的靶标定位方法。近年来，基于碱基互补配对原理的计算机预测法被广为应用，但此方法假阳性高，不同算法所得结果差异大，会误导和干扰下游的功能学实验。因此，有研究者提出结合样本配对mRNA表达量来进一步定位靶基因，明确miRNA—mRNA相互作用方式，这种联合分析的方法受到了普遍认可。本文回顾了近年来基于miRNA—mRNA配对表达谱进行联合分析的方法学进展，并简要分析各类方法的应用范围和优缺点，为后续研究者选择方法提供参考。

英文摘要：

microRNAs（miRNAs） are endogenous non-coding small RNAs that interact with their mRNAs by degrading or inhibiting translation of the targets, Up to date, there is still no low-cost and effective miRNA target screening method because the regulatory mechanisms are complex. In recent years, some investigators built several computational methods based on sequence complementarity of the miRNA and the mRNAs. However, the results are various out of different algorithms and have huge rate of false positives, which caused great troubles in down- stream experiments. Therefore, methods of using the expression values of miRNAs and mRNAs to refine the re- suits has been proposed, which have shown to effectively identifying the most prominent interactions. Here, we summarized these methods that combining both miRNA expression values and mRNA expression values and to predict miRNA targets, outlined the advantages and disadvantages of different methods, and provided directions for fu-ture investigation.