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Updated: Jan 10, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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癌症预后的机器学习框架:通过ARIMA-CNN整合时间和免疫基因动态

Rui-Bin Lin1, Linlin Zhou2,3, Yu-Chun Lin4

  • 1Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.

Biomedicines
|November 27, 2025
PubMed
概括

这项研究引入了一种新的ARIMA-CNN模型来分析瘤免疫微环境在肝癌中的基因表达,揭示了改善生存预测和精确免疫治疗的关键免疫细胞特征.

关键词:
在阿里马,阿里马就是阿里马.CCL5 CCL5 CCL5 CCL5 CCL5 CCL5 CCL5 CCL5 CCL5 CCL5 CCL5 CCL5考克斯模型 考克斯模型肝细胞癌是肝细胞癌.卡普兰梅尔和瘤免疫微环境卷积神经网络是一种卷积神经网络.生存分析,生存分析.

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