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

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:
Keloid disorder
Biomarker
Molecular mechanisms
Bioinformatics
Online Access:https://doi.org/10.1186/s12920-025-02174-9
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