STRING PPI network edges dataset.

<div><p>This study was designed to identify immune-related biomarkers associated with allergic rhinitis (AR) and construct a robust a diagnostic model. Two datasets (GSE5010 and GSE50223) were downloaded from the NCBI GEO database, containing 38 and 84 blood CD4 + T cell samples, respect...

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Bibliographic Details
Main Author:	MaoMeng Wang (22177417) (author)
Other Authors:	Shuang Wang (46453) (author), XinHua Lin (22177420) (author), XiaoJing Lv (22177423) (author), XueXia Liu (13114949) (author), Hua Zhang (12549) (author)
Published:	2025
Subjects:	Biochemistry Medicine Cell Biology Genetics Molecular Biology Immunology Biological Sciences not elsewhere classified support vector machine subsequently developed utilizing revealing significant differences potential clinical applications least absolute shrinkage eliminate batch effects 7 ), followed surrogate variable analysis demonstrating diagnostic efficiencies advancing novel diagnostic ncbi geo database differentially expressed genes related biomarkers associated disease risk scores distinguishing ar patients weighted gene co including &# 8220 highlight key genes ar mouse model expression network analysis diagnostic model gene co &# 8220 key genes expression network subsequent analysis string database selected genes relevant genes three disease related pathways related modules identify disease expression levels diagnosing ar xlink "> version 3 version 1 validation sets two datasets successfully established selection operator r package qpcr experiments linear models healthy controls eight types control groups cell samples assessed using
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STRING PPI network edges dataset.

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