Identification of potential biomarkers and mechanisms for keloid disorder based on comprehensive bioinformatics analysis and machine learning algorithms

Abstract Background Keloid disorder (KD) encompasses a spectrum of fibroproliferative dermal conditions, the pathogenesis remains complex and incompletely understood. This study sought to identify biomarkers and potential therapeutic targets for KD through an integrative bioinformatics approach and...

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Bibliographic Details
Main Authors: Bowen Zheng, Jianxiong Qiao, Xiaoping Yu, Hanghang Zhou, Anqi Wang, Xuanfen Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12920-025-02174-9
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