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LSTM4piRNA:在大型基因组数据库中使用基于深度学习的LSTM网络有效检测piRNA

Chun-Chi Chen¹, Yi-Ming Chan², Hyundoo Jeong³

¹Department of Electrical Engineering, National Chiayi University, Chiayi 600, Taiwan.

International journal of molecular sciences

|November 14, 2023

概括

我们开发了LSTM4piRNA,这是一种深度学习工具,可以在大型基因组数据集中有效识别piRNA (Piwi交互RNA). 这种方法准确地检测出这些关键的基因调节分子,性能优于现有的方法.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
分子生物学分子生物学

背景情况:

皮维相互作用RNAs (piRNAs) 是小型非编码RNAs,对基因调节至关重要.
piRNAs涉及病毒防御和人类癌症,引发了人们对其识别的兴趣.
目前的piRNA检测方法在序列多样性和大数据集方面扎.

研究的目的:

开发一种有效的计算方法,用于在大型基因组数据库中识别piRNA.
克服依赖于手动功能的现有piRNA检测算法的局限性.

主要方法:

提出了LSTM4piRNA,这是一种使用紧的长短期记忆 (LSTM) 网络的深度学习方法.
该方法自动学习序列依赖性,并结合规范化以最大限度地减少概括错误.
使用来自piRBase数据库的piRNA来评估性能.

主要成果:

LSTM4piRNA在从广泛的数据集中预测piRNA方面表现出高效率.
深度学习模型有效地捕获了复杂的RNA序列依赖性.
性能评估证实LSTM4piRNA的性能优于当前先进的piRNA检测方法.

结论:

在大规模的基因组分析中,LSTM4piRNA为piRNA识别提供了强大而高效的解决方案.
该方法自动学习特征的能力使其优于手动方法.
由于其精度和可扩展性,LSTM4piRNA非常适合临床应用.

关键词:

这是LSTM的LSTM.皮维交互RNA (piRNA) 是一种与皮维交互的RNA.预测RNARNA的预测机器学习是机器学习.

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相关概念视频

piRNA - Piwi-interacting RNAs

piRNA - Piwi-interacting RNAs

PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...