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Updated: Jan 28, 2026

Synthesis and Characterization of Functionalized Metal-organic Frameworks
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FSFT6mA:一种特征合成微调框架,用于DNA 6mA位点预测

Hong-Jin Yu1, Ying Zhang2, Dong-Jun Yu3

  • 1School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China.

Frontiers in genetics
|January 27, 2026
PubMed
概括

FSFT6mA是一种新的深度学习框架,通过使用生成对抗网络 (GAN) 合成特征来增强DNA N6-甲基亚丁 (6mA) 位点预测. 这种方法比现有的表观遗传修饰分析方法提高了准确性.

关键词:
DNA 6mA 的预测.深度学习是一种深度学习.生成性的对抗性网络.序列特征 序列特征 的特征.合成特征 合成特征

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