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在单细胞水平上通过机器学习方法识别SARS-CoV-2感染的鼻组织

YuSheng Bao1, QingLan Ma1, Lei Chen2

  • 1School of Life Sciences, Shanghai University, Shanghai 200444, China.

Molecular immunology
|December 19, 2024
PubMed
概括

这项研究揭示了感染SARS-CoV-2的单细胞中独特的基因表达特征. 机器学习识别了FKBP4和IFITM1等关键标志物,改善了对COVID-19细胞反应的理解.

关键词:
机器学习 机器学习鼻鼻的情况这就是SARS-CoV-2病毒.单细胞机是一种单细胞机.

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