使,omics.

Mengke Guo1, Xiucai Ye1, Dong Huang1

  • 1Department of Computer Science, University of Tsukuba, Tsukuba 3058577, Japan.

Methods (San Diego, Calif.)
|November 22, 2024
PubMed
概括

这项研究引入了一种新的多omics癌症亚型框架,使用收缩自编码器和Cox回归来整合各种omics数据. 该方法通过提取强大的特征并结合生存信息来改善癌症患者的分层,以更好地诊断和预后.

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