Identification of novel prognostic targets in glioblastoma using bioinformatics analysis

Identification of novel prognostic targets in glioblastoma using bioinformatics analysis

Abstract Background Glioblastoma (GBM) is the most malignant grade of glioma. Highly aggressive characteristics of GBM and poor prognosis cause GBM-related deaths. The potential prognostic biomarkers remain to be demonstrated. This research builds up predictive gene targets of expression alterations...

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Bibliographic Details
Main Authors: Xiaofeng Yin, Quansheng Wu, Zheng Hao, Laizhao Chen
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BioMedical Engineering OnLine
Subjects:
Glioblastoma multiform
Bioinformatics analysis
Prognosis
Biomarker
Online Access:https://doi.org/10.1186/s12938-022-00995-8

Internet

https://doi.org/10.1186/s12938-022-00995-8

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