Establishment of a novel glycolysis-immune-related diagnosis gene signature for endometriosis by machine learning

PURPOSE: The objective of this study was to investigate the key glycolysis-related genes linked to immune cell infiltration in endometriosis and to develop a new endometriosis (EMS) predictive model. METHODS: A training set and a test set were created from the Gene Expression Omnibus (GEO) public da...

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Detalles Bibliográficos
Autores principales: Chen, Qizhen, Jiao, Yufan, Yin, Zhe, Fu, Xiayan, Guo, Shana, Zhou, Yuhua, Wang, Yanqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Reproductive Physiology and Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239430/
https://www.ncbi.nlm.nih.gov/pubmed/36930359
http://dx.doi.org/10.1007/s10815-023-02769-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239430/
https://www.ncbi.nlm.nih.gov/pubmed/36930359
http://dx.doi.org/10.1007/s10815-023-02769-0

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