Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification

Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification

<b>Background:</b> Keratoconus (KTCN) is a multifactorial disease characterized by progressive corneal degeneration. Recent studies suggest that a gene expression analysis of corneas may uncover potential novel biomarkers involved in corneal matrix remodeling. However, identifying reliab...

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Bibliographic Details
Main Authors: Shao-Hsuan Chang, Lung-Kun Yeh, Kuo-Hsuan Hung, Yen-Jung Chiu, Chia-Hsun Hsieh, Chung-Pei Ma
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomedicines
Subjects:
keratoconus
machine learning
inflammation
transcriptome
biomarkers
Online Access:https://www.mdpi.com/2227-9059/13/5/1032
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