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Updated: Jan 18, 2026

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整合使用基于关联的图表注意力网络的多组学数据,用于低级质瘤的亚型分类

Eman Mohammed Hamid1, Murtada K Elbashir2, Nosiba Yousif Ahmed1

  • 1Department of Computer Science, Faculty of Mathematical and Computer Science, University of Gezira, Wad Madani, Sudan.

Discover oncology
|January 16, 2026
PubMed
概括

深度学习模型BioGAT-LGG使用多omics数据准确地分类低级质瘤 (LGG) 亚型. 它确定了针对个性化癌症治疗和决策的新型生物标志物.

关键词:
生物标记物识别方法癌症亚型分类 癌症亚型分类基于相关性的图表.在GATv2中,GATv2是什么?基因本体学是基因的本体学.在KEGG的路径中.在LGGLGGLGGLGGLGGLGGLGGLGGLGGL多个omics数据数据的数据.

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