相关实验视频

Updated: Jan 13, 2026

RNA Secondary Structure Prediction Using High-throughput SHAPE

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

纠正:DeepRNAac4C:一种混合深度学习框架,用于RNA N4-乙基丁基因位点预测

Guohua Huang^1,2, Runjuan Xiao^1,2, Chunying Peng¹

¹Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China.

Frontiers in genetics

|October 29, 2025

概括

这项研究纠正了上一篇文章DOI. 修正后的DOI为10.3389/fgene.2025.1622899,确保准确引用和检索研究结果.

科学领域:

遗传学和基因组学遗传学和基因组学
科学出版科研出版

背景情况:

确保科学文献的准确性对于研究完整性至关重要.
适当的引用有助于检索和验证已发表的研究.

研究的目的:

为现有文章的数字物体标识符 (DOI) 提供更正.
确保研究人员能够准确地访问和引用预期的出版物.

主要方法:

在原始出版物中错误的DOI的识别.
对于该物品,发放一个更正的DOI.

主要成果:

该产品的正确DOI现在已经确定为10.3389/fgene.2025.1622899.
此更正纠正了文章访问和引用的潜在问题.

结论:

准确的DOI对于科学研究的可发现性和可靠性至关重要.
这次纠正符合科学沟通和数据完整性的标准.

关键词:

这是一个巨大的BIGRU.这就是为什么BiLSTM.在RNA中,N4-乙基胺是N4-乙基胺.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.

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