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ABSTRACT: Background
Allergic diseases are systemic chronic inflammatory diseases associated with multiorgan damage and complex pathogenesis. Several studies have revealed the association of gene expression abnormalities with the development of allergic diseases, but the biomedical field still lacks a public platform for comprehensive analysis and visualization of transcriptomic data of allergic diseases.Objective
The aim of the study is to provide a comprehensive web tool for multiple analysis in allergic diseases.Methods
We retrieved and downloaded human and mouse gene expression profile data associated with allergic diseases from the Gene Expression Omnibus (GEO) database and standardized the data uniformly. We used gene sets obtained from the MSigDB database for pathway e
SUBMITTER: Zhou S
PROVIDER: S-EPMC11475762 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature