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BERT-siRNA:基于BERT预训练的可解释模型的siRNA目标预测.

Jiayu Xu1, Nan Xu2, Weixin Xie1

  • 1Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.

Gene
|March 2, 2024
PubMed
概括

我们开发了BERT-siRNA,这是一种用于预测小干扰RNA (siRNA) 基因淘汰效率的新型计算方法. 该模型的性能优于现有方法,为RNA干扰研究提供了更高的准确性和可解释性.

关键词:
贝尔特 (BERT) 公司可解释的深度学习这就是SARS-CoV-2病毒.siRNA预测的预测

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siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...
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