An in silico approach to the identification of diagnostic and prognostic markers in low-grade gliomas

Low-grade gliomas (LGG) are central nervous system Grade I tumors, and as they progress they are becoming one of the deadliest brain tumors. There is still great need for timely and accurate diagnosis and prognosis of LGG. Herein, we aimed to identify diagnostic and prognostic biomarkers associated...

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Bibliographic Details
Main Authors: Melih Özbek, Halil Ibrahim Toy, Yavuz Oktay, Gökhan Karakülah, Aslı Suner, Athanasia Pavlopoulou
Format: Article
Language:English
Published: PeerJ Inc. 2023-03-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/15096.pdf