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Updated: Jun 7, 2025

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MuSE:基于多功能融合的深度学习模型,用于超级增强器预测.

Wenying He1, Haolu Zhou2, Yun Zuo3

  • 1School of Artificial Intelligence, Hebei University of Technology, Tianjin 300400, China; Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin 300130, China.

Computational biology and chemistry
|November 19, 2024
PubMed
概括

本研究介绍了MuSE,这是一种深度学习模型,用于使用多功能融合识别超级增强器 (SE). MuSE通过整合各种DNA序列特征来提高SE预测的准确性,改进了现有的方法.

关键词:
卷积神经网络是一种卷积神经网络.在DNA2Vec.多功能融合融合多功能融合这是一个超级增强器.

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