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用机器学习方法识别基因表达生物标志物,预测潜伏结核病感染

Youssra Boumait1, Boutaina Ettetuani2, Manal Chrairi1

  • 1Biology Molecular Unit, Life and Health Sciences Laboratory, Faculty of Medicine and Pharmacy, Abdelmalek Essaâdi University, Tangier 93000, Morocco.

Genes
|June 26, 2025
PubMed
概括

这项研究使用生物信息学和机器学习确定了潜在结核病感染 (LTBi) 的新型基因表达生物标志物. CCL2和CXCL10显示出改善LTBi检测的希望.

关键词:
生物信息学是一种生物信息学.生物标志物 生物标志物基因表达的基因表达方式潜伏的结核病感染.机器学习是机器学习.文字转录 字体转录 字体转录

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