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Updated: May 17, 2025

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基于scRNA-seq数据集群的多视图对比学习的脱GNN

Xiaoyan Yu1, Yixuan Ren2, Min Xia2

  • 1School of Computer Science and Technology, Beijing Institute of Technology, Zhongguancun South Street, Haidian, Beijing, 100081, China.

Briefings in bioinformatics
|May 14, 2025
PubMed
概括

我们介绍了scDeGNN,这是一种用于单细胞RNA测序 (scRNA-seq) 数据聚类的新方法. 这种方法提高了图形神经网络的效率,并通过解特征表示学习来提高细胞聚类的准确性.

关键词:
这些是GNNs,GNNs.集群集成是指集群集成.相反的学习学习学习.脱的 脱的多视图多视图可以使用.在 scRNA-seq 数据中.

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