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Updated: Jan 16, 2026

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
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微生物组-转录组-组织学三位一体增强了多种癌症的生存风险分层

Binsheng He1, Yanyu Ma2, Kun Wang3

  • 1First Clinical College, Changsha Medical University, Changsha 410219, PR China; Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Changsha 410219, PR China.

Computational biology and chemistry
|October 3, 2025
PubMed
概括

这项研究介绍了HMTsurv,这是用于癌症存活率预测的多式联络深度学习模型. 通过整合组织病理学,转录学和微生物组数据,它可以提高多种癌症的预后准确性.

关键词:
癌症预后 癌症预后微生物组是一个微生物组.多式联络融合多式联络融合病理图像 病理图像 病理图像转录组 转录组就是一个转录组.

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