Cargando…
Identifying Obstructive Sleep Apnea Syndrome-Associated Genes and Pathways through Weighted Gene Coexpression Network Analysis
BACKGROUND: Obstructive sleep apnea syndrome (OSAS) is the most common type of sleep apnea disorder. The disease seriously affects the patient's respiratory system. At present, the prognosis of the disease is poor and there is a lack of effective treatments. Therefore, it is urgent to explore i...
Autores principales: | Li, Yan, Li, Li, Zhao, Hua, Gao, Xiwen, Li, Shanqun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817882/ https://www.ncbi.nlm.nih.gov/pubmed/35132330 http://dx.doi.org/10.1155/2022/3993509 |
Ejemplares similares
-
Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus
por: Feng, Tianyu, et al.
Publicado: (2019) -
Effects of CPAP on the transcriptional signatures in patients with obstructive sleep apnea via coexpression network analysis
por: Peng, Juxiang, et al.
Publicado: (2019) -
Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis
por: Zhang, Hongliang, et al.
Publicado: (2022) -
Identifying Tumorigenesis and Prognosis-Related Genes of Lung Adenocarcinoma: Based on Weighted Gene Coexpression Network Analysis
por: Yi, Ming, et al.
Publicado: (2020) -
Weighted Gene Coexpression Network Analysis Identifies Key Genes and Pathways Associated with Idiopathic Pulmonary Fibrosis
por: Wang, Zheng, et al.
Publicado: (2019)