MicroRNA (miRNA) is a small non-coding molecule that is involved in gene regulation and RNA silencing by complementary on their targets. Experimental methods for target prediction can be time-consuming and expensive. Thus, the application of the computational approach is implicated to enlighten these complications with experimental studies. However, there is still a need for an optimized approach in miRNA biology. Therefore, machine learning (ML) would initiate a new era of research in miRNA biology towards potential diseases biomarker. In this article, we described the application of ML approaches in miRNA discovery and target prediction with functions and future prospective. The implementation of a new era of computational methodologies in this direction would initiate further advanced levels of discoveries in miRNA.

中文翻译：

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机器学习在miRNA发现和目标预测中的应用

MicroRNA (miRNA) 是一种非编码小分子，通过与其靶标互补参与基因调控和 RNA 沉默。目标预测的实验方法可能既耗时又昂贵。因此，计算方法的应用涉及通过实验研究来启发这些并发症。然而，仍然需要一种优化的 miRNA 生物学方法。因此，机器学习 (ML) 将开启 miRNA 生物学研究潜在疾病生物标志物的新时代。在本文中，我们描述了 ML 方法在 miRNA 发现和目标预测中的应用，并具有功能和未来前景。在这个方向上实施计算方法的新时代将启动更高级的 miRNA 发现。