Long noncoding RNAs (lncRNAs) are noncoding RNAs with a length greater than 200 nucleotides. Studies have shown that they play an important role in many life activities. Dozens of lncRNAs have been characterized to some extent, and they are reported to be related to the development of diseases in a variety of cells. However, the biological functions of most lncRNAs are currently still unclear. Therefore, accurately identifying and predicting lncRNAs would be helpful for research on their biological functions. Due to the disadvantages of high cost and high resource-intensiveness of experimental methods, scientists have developed numerous computational methods to identify and predict lncRNAs in recent years. In this paper, we systematically summarize the machine learning-based lncRNAs prediction tools from several perspectives, and discuss the challenges and prospects for the future work.

中文翻译：

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用机器学习方法识别长链非编码 RNA：综述

长链非编码 RNA (lncRNA) 是长度大于 200 个核苷酸的非编码 RNA。研究表明，它们在许多生活活动中发挥着重要作用。数十种 lncRNA 已在一定程度上得到了表征，据报道它们与多种细胞中疾病的发展有关。然而，目前大多数 lncRNA 的生物学功能仍不清楚。因此，准确识别和预测lncRNA将有助于对其生物学功能的研究。由于实验方法成本高、资源密集度高等缺点，近年来科学家们开发了多种计算方法来识别和预测lncRNA。在本文中，我们从几个方面系统地总结了基于机器学习的 lncRNAs 预测工具，