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基因组分析和基于机器学习的特征选择策略揭示了Nakaseomyces glabratus中潜在的耐药性决定因素

Qiqi Wang1, Runhong Chen2, Xin Cao2

  • 1Department of Dermatology and Venerology, Peking University First Hospital, National Clinical Research Center for Skin and Immune Diseases, Research Center for Medical Mycology, Peking University, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, People's Republic of China.

Emerging microbes & infections
|November 27, 2025
PubMed
概括

在Nakaseomyces glabratus中发现了与侵袭性 кандидоз抗真菌耐药性相关的基因组特征. 机器学习和全基因组分析确定了PDR1突变,有助于预测和对抗耐药性真菌感染.

关键词:
纳卡西奥密切斯 (Nakaseomyces glabratus) 是一个白色的植物.抗真菌耐药性的抗真菌耐药性基因组分析 基因组分析基因组签名 基因组签名机器学习是机器学习.电阻的决定因素

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