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Machine learning identified genetic features associated with HIV sequences in the monocytes

Xiaorong Peng Biao Zhu

中华医学杂志（英文版）2023，Vol.136Issue(24)：3002-3004,3.

中华医学杂志（英文版）2023，Vol.136Issue(24)：3002-3004,3.DOI:10.1097/CM9.0000000000002932

Machine learning identified genetic features associated with HIV sequences in the monocytes

Xiaorong Peng ¹Biao Zhu¹

作者信息

1. State Key Laboratory for Diagnosis and Treatment of Infectious Diseases,National Clinical Research Center for Infectious Diseases,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,The First Affiliated Hospital,School of Medicine,Zhejiang University,Hangzhou,Zhejiang 310003,China
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Xiaorong Peng,Biao Zhu..Machine learning identified genetic features associated with HIV sequences in the monocytes[J].中华医学杂志（英文版）,2023,136(24):3002-3004,3.

基金项目

This study was supported by grants from the National Natural Science Foundation of China(No.82202522)and the Independent Task of State Key Laboratory for Diagnosis and Treatment of Infectious Diseases(No.2019ZZ18). （No.82202522）

中华医学杂志（英文版）

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