ArticleFrontiers in genetics2025
Identification of four key genes related to the diagnosis of chronic obstructive pulmonary disease using bioinformatics analysis.
Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Breathing insights: Biomarkers as tools for chronic obstructive pulmonary disease assessment - A systematic review.Indian journal of pharmacology · 2026Pooled it
- Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning.Frontiers in medicine · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
Introduction: Chronic obstructive pulmonary disease (COPD) is projected to become the third leading cause of death worldwide. Despite extensive research over the past few decades, effective treatments remain elusive, making disease prevention and control a global challenge. Methods: This study aimed to identify diagnostic key genes for COPD. We utilized the Gene Expression Omnibus database to obtain gene expression data specific to COPD. Differentially expressed genes (DEGs) were identified and analyzed through Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis. Integrated weighted gene co-expression network analysis was employed to examine related gene modules. To pinpoint key genes, we used SVM-RFE, RF, and LASSO. Results: A total of 1782 DEGs were discovered, many of which were enriched in various biological pathways and activities. Four key genes- Discussion: Our findings suggest that
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