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一个基于深度学习的框架,通过整合多omics和临床数据来预测结肠癌中与生存相关的群体

Siamak Salimy1, Hossein Lanjanian2, Karim Abbasi3

  • 1Laboratory of System Biology and Bioinformatics (LBB), Department of Bioinformatics, University of Tehran, Kish International Campus, Kish, Iran.

Heliyon
|July 17, 2023
PubMed
概括

这项研究引入了一种机器学习方法,用于整合多omics数据,用于结肠癌患者的预后. 超参数优化的自编码方法有效地识别了生存子组和相关基因.

关键词:
结肠直肠癌是一种癌症.数据整合数据集成深度的自动编码器.基因表达 基因表达 基因表达多个omics数据数据的数据.精准医学是一门精准的医学.

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