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Updated: Feb 4, 2026

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多omics机器学习识别了诊断基因特征,并功能性地支持PRKACB参与巨细胞在败血症中的炎症反应

Lvying Yang1, Sisi Teng2, Zengwen Ma3

  • 1Department of Respiratory and Critical Care Medicine, The First Veterans Hospital of Sichuan Province, Chengdu, Sichuan, China.

Frontiers in immunology
|February 2, 2026
PubMed
概括

研究人员使用多omics分析确定了用于败血症诊断的新型基因特征. PRKACB成为一个关键的髓状基因,影响毒症患者的炎症和巨细胞活力.

关键词:
这就是PRKACB.生物标志物 生物标志物机器学习算法机器学习算法这是一种血症.一个单细胞RNA测序.

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