Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning

BACKGROUND: Glycolysis-related genes as prognostic markers in malignant pleural mesothelioma (MPM) is still unclear. We hope to explore the relationship between glycolytic pathway genes and MPM prognosis by constructing prognostic risk models through bioinformatics and machine learning. METHODS: The...

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Detalles Bibliográficos
Autores principales: Xiao, Yingqi, Huang, Wei, Zhang, Li, Wang, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744783/
https://www.ncbi.nlm.nih.gov/pubmed/36523602
http://dx.doi.org/10.3389/fendo.2022.1056152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744783/
https://www.ncbi.nlm.nih.gov/pubmed/36523602
http://dx.doi.org/10.3389/fendo.2022.1056152

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