Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis

OBJECTIVE: To screen for potential endoplasmic reticulum stress- (ERS-) related biomarkers of periodontitis using machine learning methods and explore their relationship with immune cells. METHODS: Three datasets of periodontitis (GSE10334, GES16134, and GES23586) were obtained from the Gene Express...

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Detalles Bibliográficos
Autores principales: Zhang, Qingyu, Jiao, Yuheng, Ma, Ning, Zhang, Li, Song, Yuqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444421/
https://www.ncbi.nlm.nih.gov/pubmed/36072904
http://dx.doi.org/10.1155/2022/8611755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444421/
https://www.ncbi.nlm.nih.gov/pubmed/36072904
http://dx.doi.org/10.1155/2022/8611755

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