Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps

Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps

Abstract Chronic rhinosinusitis with nasal polyps (CRSwNP) is a prevalent inflammatory disease where immunomodulation plays a pivotal role. However, immuno-transcriptomic characteristics and its clinical relevance remains largely known. We analyzed transcriptome data of 48 patients with CRSwNP and 3...

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Bibliographic Details
Main Authors: Zhaonan Xu, Qing Hao, Bingrui Yan, Qiuying Li, Xuan Kan, Qin Wu, Hongtian Yi, Xianji Shen, Lingmei Qu, Peng Wang, Yanan Sun
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Chronic rhinosinusitis with nasal polyps
Differential immune-related genes
Bioinformatics
Machine learning
Immune infiltration
Online Access:https://doi.org/10.1038/s41598-025-02508-8
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https://doi.org/10.1038/s41598-025-02508-8

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