Cargando…
Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases in reproductive-aged women, and it affects numerous women worldwide. This study aimed to identify potential diagnostic markers and explore the infiltration of immune cells in PCOS, contributing to the development of potent...
Autores principales: | Yao, Xinrui, Wang, Xiuxia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471256/ https://www.ncbi.nlm.nih.gov/pubmed/36118901 http://dx.doi.org/10.3389/fgene.2022.937309 |
Ejemplares similares
-
Identification of immune cell infiltration and effective biomarkers of polycystic ovary syndrome by bioinformatics analysis
por: Gao, Mengge, et al.
Publicado: (2023) -
Bioinformatic analysis and machine learning to identify the diagnostic biomarkers and immune infiltration in adenomyosis
por: Liu, Dan, et al.
Publicado: (2023) -
Elevated Serum Mannose Levels as a Marker of Polycystic Ovary Syndrome
por: Feng, Di, et al.
Publicado: (2019) -
Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome
por: Na, Zhijing, et al.
Publicado: (2022) -
Identification of effective diagnostic biomarker and immune cell infiltration characteristics in acute liver failure by integrating bioinformatics analysis and machine-learning strategies
por: Yuan, Mengqin, et al.
Publicado: (2022)