Machine learning links different gene patterns of viral infection to immunosuppression and immune-related biomarkers in severe burns

Machine learning links different gene patterns of viral infection to immunosuppression and immune-related biomarkers in severe burns

IntroductionViral infection, typically disregarded, has a significant role in burns. However, there is still a lack of biomarkers and immunotherapy targets related to viral infections in burns.MethodsVirus-related genes (VRGs) that were extracted from Gene Oncology (GO) database were included as hal...

Full description

Bibliographic Details
Main Authors: Peng Wang, Zexin Zhang, Rongjie Lin, Jiali Lin, Jiaming Liu, Xiaoqian Zhou, Liyuan Jiang, Yu Wang, Xudong Deng, Haijing Lai, Hou’an Xiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Immunology
Subjects:
burn
immunosuppression
machine learning
prognostic model
virus infection
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.1054407/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.1054407/full

Similar Items