Metabolic detection of malignant brain gliomas through plasma lipidomic analysis and support vector machine-based machine learning

BACKGROUND: Most malignant brain gliomas (MBGs) are associated with dismal outcomes, mainly due to their late diagnosis. Current diagnostic methods for MBGs are based on imaging and histological examination, which limits their early detection. Here, we aimed to identify reliable plasma lipid biomark...

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Detalles Bibliográficos
Autores principales: Zhou, Juntuo, Ji, Nan, Wang, Guangxi, Zhang, Yang, Song, Huajie, Yuan, Yuyao, Yang, Chunyuan, Jin, Yan, Zhang, Zhe, Zhang, Liwei, Yin, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189781/
https://www.ncbi.nlm.nih.gov/pubmed/35687958
http://dx.doi.org/10.1016/j.ebiom.2022.104097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189781/
https://www.ncbi.nlm.nih.gov/pubmed/35687958
http://dx.doi.org/10.1016/j.ebiom.2022.104097

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