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Integrated Transcriptomics and Machine Learning Unveil Diagnostic Signatures and Eosinophil-Related Immune Dysregulation in Keloid

2026-04-23

Abstract excerpt

<title>Abstract</title> <p>Objective This study aimed to identify diagnostic biomarkers and elucidate their roles in keloid pathogenesis through integrated bioinformatics and experimental validation. Methods Transcriptomic data (GSE44270) were analyzed to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) identified key modules. Candidate genes were screened by...

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Literature Corpus work
e596996a-a0a9-5ffc-907c-2eccf1ab811d
DOI
10.21203/rs.3.rs-9099664/v1
Open publication

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Integrated Transcriptomics and Machine Learning Unveil Diagnostic Signatures and Eosinophil-Related Immune Dysregulation in KeloidDOI 10.21203/rs.3.rs-9099664/v1
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