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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Impact Journals
2023
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| Materias: | |
| 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 |