Bioinformatics analysis identifies a key gene HLA_DPA1 in severe influenza-associated immune infiltration.

ABSTRACT:

Background

Severe influenza is a serious global health issue that leads to prolonged hospitalization and mortality on a significant scale. The pathogenesis of this infectious disease is poorly understood. Therefore, this study aimed to identify the key genes associated with severe influenza patients necessitating invasive mechanical ventilation.

Methods

The current study utilized two publicly accessible gene expression profiles (GSE111368 and GSE21802) from the Gene Expression Omnibus database. The research focused on identifying the genes exhibiting differential expression between severe and non-severe influenza patients. We employed three machine learning algorithms, namely the Least Absolute Shrinkage and Selection Operator regression model, Random Forest, and Support Vec

SUBMITTER: Chen L 

PROVIDER: S-EPMC10918912 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature