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GANSamples-ac4C:通过生成对抗网络和转移学习来增强ac4C站点预测

Fei Li1, Jiale Zhang2, Kewei Li1

  • 1Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, and College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China.

Analytical biochemistry
|March 2, 2024
PubMed
概括

本研究介绍了GANSamples-ac4C,这是一种使用生成对抗网络 (GAN) 创建合成RNA序列以改善N4-乙基 (ac4C) 修饰位预测的新框架,解决了RNA研究中的数据稀缺问题.

关键词:
数据稀缺性 数据稀缺性生成性对抗性网络 (GAN) 是一种对抗性网络.N4-乙化丁 (ac4C) 是一种预测N4-乙乙胺的预测合成RNA序列中的合成RNA序列.转移学习转移学习

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