Cite
Identification and Analysis of a Four-Gene Set for Diagnosing SFTS Virus Infection Based on Machine Learning Methods and Its Association with Immune Cell Infiltration
MLA
Tao Huang, et al. “Identification and Analysis of a Four-Gene Set for Diagnosing SFTS Virus Infection Based on Machine Learning Methods and Its Association with Immune Cell Infiltration.” Viruses, vol. 15, no. 10, Oct. 2023, p. 2126. EBSCOhost, https://doi.org/10.3390/v15102126.
APA
Tao Huang, Xueqi Wang, Yuqian Mi, Tiezhu Liu, Yang Li, Ruixue Zhang, Zhen Qian, Yanhan Wen, Boyang Li, Lina Sun, Wei Wu, Jiandong Li, Shiwen Wang, & Mifang Liang. (2023). Identification and Analysis of a Four-Gene Set for Diagnosing SFTS Virus Infection Based on Machine Learning Methods and Its Association with Immune Cell Infiltration. Viruses, 15(10), 2126. https://doi.org/10.3390/v15102126
Chicago
Tao Huang, Xueqi Wang, Yuqian Mi, Tiezhu Liu, Yang Li, Ruixue Zhang, Zhen Qian, et al. 2023. “Identification and Analysis of a Four-Gene Set for Diagnosing SFTS Virus Infection Based on Machine Learning Methods and Its Association with Immune Cell Infiltration.” Viruses 15 (10): 2126. doi:10.3390/v15102126.