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

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

Severe Fever with thrombocytopenia syndrome (SFTS) is a highly fatal viral infectious disease that poses a significant threat to public health. Currently, the phase and pathogenesis of SFTS are not well understood, and there are no specific vaccines or effective treatment available. Therefore, it is...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Viruses
Subjects:
SFTS
SFTS acute phase
machine learning
LASSO–Cox
immune cells infiltration
Online Access:https://www.mdpi.com/1999-4915/15/10/2126

Internet

https://www.mdpi.com/1999-4915/15/10/2126

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