In terms of publication, the research team of the key laboratory has published multiple papers with impact factors exceeding 10, as well as some top scientific research papers, including multiple ESI high citation papers (top 1%). We have world-class research teams in some related fields and have achieved significant accomplishments in the past few years.

The laboratory has performed excellently in high impact scientific research, especially in the field of RNA modification - an important cornerstone of metabolic syndrome research. It has published numerous articles in well-known journals and deepened our understanding of RNA modification and its role in cellular processes and diseases.

在出版方面,重点实验室的研究团队发表了多篇影响因子超过10的论文,以及一些顶级科学研究论文,包括多篇ESI高引用率论文(前1%)。我们在一些相关研究领域拥有世界级的研究团队,并在过去几年中取得了重大成就。

       实验室在高影响力科研方面表现优异,尤其是在RNA修饰领域——代谢综合征研究的重要基石。它发表了大量的文章于知名期刊,并加深了我们对RNA修饰及其在细胞过程和疾病中作用的理解。

Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications

解决了同时预测和解释多种RNA修饰的挑战。通过利用深度学习技术,介绍了一个名为MultiRM的模型,能够从原始RNA序列预测十二种类型的RNA修饰。该模型成功实现了最先进的预测准确性。

ConsRM: an integrated construction and analysis platform of disease-related RNA modifications

开发了一个新颖的评分系统ConsRM,用于量化单个m6A位点的保守性,揭示高度保守的m6A位点更可能具有功能性重要性并与疾病机制相关。这种方法为研究及潜在治疗靶标的m6A位点优先排序提供了宝贵资源。

Deciphering RNA N6-methyladenosine modification by machine learning based on sequence and structure features

探索了使用考虑RNA的序列和结构特征的机器学习方法对m6A修饰位点进行预测建模。这种建模方法对于推进我们理解涉及RNA修饰的复杂调控网络至关重要。

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