GAN

Taslim Murad1, Sarwan Ali1, Murray Patterson1

  • 1Department of Computer Science, Georgia State University, Atlanta, GA 30302, USA.

Biology
|June 28, 2023
PubMed
概括

生成对抗性网络 (GAN) 通过创建合成数据来解决生物序列分析中的数据不平衡,从而提高机器学习模型的性能. 这种新的方法提高了鉴定病毒特征和制定预防策略的分类准确性.

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