The Identification and Clinical Value Evaluation of CYCS Related to Asthma through Bioinformatics Analysis and Functional Experiments

BACKGROUND: Asthma is one of the most common respiratory diseases and one of the largest burdens of health care resources across the world. This study is aimed at using bioinformatics methods to find effective clinical indicators for asthma and conducting experimental validation. METHODS: We downloa...

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Detalles Bibliográficos
Autores principales: Li, Yan, Li, Li, Zhao, Hua, Gao, Xiwen, Li, Shanqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121352/
https://www.ncbi.nlm.nih.gov/pubmed/37091894
http://dx.doi.org/10.1155/2023/5746940

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121352/
https://www.ncbi.nlm.nih.gov/pubmed/37091894
http://dx.doi.org/10.1155/2023/5746940

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