Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning

Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning

BackgroundPterygium is a complex ocular surface disease characterized by the abnormal proliferation and growth of conjunctival and fibrovascular tissues at the corneal-scleral margin. Understanding the underlying molecular mechanisms of pterygium is crucial for developing effective diagnostic and th...

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Bibliographic Details
Main Authors: Li-Wei Zhang, Ji Yang, Hua-Wei Jiang, Xiu-Qiang Yang, Ya-Nan Chen, Wei-Dang Ying, Ying-Liang Deng, Min-hui Zhang, Hai Liu, Hong-Lei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Molecular Biosciences
Subjects:
pterygium
RNA sequencing
bioinformatics
WCGNA
machine learning
immuno-infiltration
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2024.1524517/full
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https://www.frontiersin.org/articles/10.3389/fmolb.2024.1524517/full

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