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Dysregulated Alanine as a Potential Predictive Marker of Glioma—An Insight from Untargeted HRMAS-NMR and Machine Learning Data

Metabolic alterations play a crucial role in glioma development and progression and can be detected even before the appearance of the fatal phenotype. We have compared the circulating metabolic fingerprints of glioma patients versus healthy controls, for the first time, in a quest to identify a pane...

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Detalles Bibliográficos
Autores principales:	Firdous, Safia, Abid, Rizwan, Nawaz, Zubair, Bukhari, Faisal, Anwer, Ammar, Cheng, Leo L., Sadaf, Saima
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402070/ https://www.ncbi.nlm.nih.gov/pubmed/34436448 http://dx.doi.org/10.3390/metabo11080507

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