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

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

Summary: 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 lip...

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Bibliographic Details
Main Authors: Juntuo Zhou, Nan Ji, Guangxi Wang, Yang Zhang, Huajie Song, Yuyao Yuan, Chunyuan Yang, Yan Jin, Zhe Zhang, Liwei Zhang, Yuxin Yin
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:EBioMedicine
Subjects:
Malignant brain gliomas
Machine learning
SVM
Plasma biomarker
Lipidomics
Online Access:http://www.sciencedirect.com/science/article/pii/S235239642200278X

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http://www.sciencedirect.com/science/article/pii/S235239642200278X

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