Constructing a Glioblastoma Prognostic Model Related to Fatty Acid Metabolism Using Machine Learning and Identifying F13A1 as a Potential Target

Constructing a Glioblastoma Prognostic Model Related to Fatty Acid Metabolism Using Machine Learning and Identifying F13A1 as a Potential Target

<b>Background:</b> Increased fatty acid metabolism (FAM) is an important marker of tumor metabolism. However, the characterization and function of FAM-related genes in glioblastoma (GBM) have not been fully explored. <b>Method:</b> In the TCGA-GBM cohort, FAM-related genes we...

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Bibliographic Details
Main Authors: Yushu Liu, Hui Deng, Ping Song, Mengxian Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomedicines
Subjects:
glioblastoma
fatty acid metabolism
F13A1
machine learning
prognosis
immune
Online Access:https://www.mdpi.com/2227-9059/13/2/256
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