Identification of key circadian rhythm genes in skin aging based on bioinformatics and machine learning

Skin aging is often accompanied by disruption of circadian rhythm and abnormal expression of circadian rhythm-related genes. In this study, we downloaded skin aging expression datasets from the GEO database and utilized bioinformatics and machine learning methods to explore circadian rhythm genes an...

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Detalles Bibliográficos
Autores principales: Xiao, Xiao, Feng, Hao, Liao, Yangying, Tang, Hua, Li, Lan, Li, Ke, Hu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637791/
https://www.ncbi.nlm.nih.gov/pubmed/37905958
http://dx.doi.org/10.18632/aging.205155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637791/
https://www.ncbi.nlm.nih.gov/pubmed/37905958
http://dx.doi.org/10.18632/aging.205155

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