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Identifying the Interaction Between Tuberculosis and SARS-CoV-2 Infections via Bioinformatics Analysis and Machine Learning.
Huang, Ze-Min; Kang, Jia-Qi; Chen, Pei-Zhen; Deng, Lin-Fen; Li, Jia-Xin; He, Ying-Xin; Liang, Jie; Huang, Nan; Luo, Tian-Ye; Lan, Qi-Wen; Chen, Hao-Kai; Guo, Xu-Guang.
Afiliación
  • Huang ZM; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Kang JQ; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
  • Chen PZ; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Deng LF; Department of Clinical Medicine, The First Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
  • Li JX; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • He YX; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
  • Liang J; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Huang N; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
  • Luo TY; Department of Clinical Medicine, The First Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
  • Lan QW; Clinical Laboratory Medicine, Guangzhou Medical University, Guangzhou, 510006, China.
  • Chen HK; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Guo XG; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
Biochem Genet ; 2023 Nov 22.
Article en En | MEDLINE | ID: mdl-37991568

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Biochem Genet Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Biochem Genet Año: 2023 Tipo del documento: Article País de afiliación: China