Bioinformatic analysis constructs an optimal prognostic index for survival-related variables (OPISV) based on whole-genome expression data in Glioblastoma

OPISV is feasible for predicting patient survival, as it may serve as a potential mechanism underlying the involvement of GABAergic synapses in the progression of GBM.

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Publication Details

Journal
International Journal of Biological Macromolecules
Published
2024-11-04
DOI
https://doi.org/10.1016/j.ijbiomac.2024.137184
Citations
5
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.19
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article

Bioinformatic analysis constructs an optimal prognostic index for survival-related variables (OPISV) based on whole-genome expression data in Glioblastoma

Yueyang Liang, Lin Yang, Meilan Chen, Jianlin Pan et al.
5 citations
International Journal of Biological Macromolecules
Glioma Diagnosis and Treatment
2.19
article

Bioinformatic analysis constructs an optimal prognostic index for survival-related variables (OPISV) based on whole-genome expression data in Glioblastoma

Yueyang Liang, Lin Yang, Meilan Chen, Jianlin Pan, Chun Hu, Dejun Yan
article en
5 citations

Abstract

OPISV is feasible for predicting patient survival, as it may serve as a potential mechanism underlying the involvement of GABAergic synapses in the progression of GBM.

International Journal of Biological MacromoleculesVol. 282(Pt 5)
South China Normal University (CN), Panyu District Central Hospital (CN), Guangdong Provincial People's Hospital (CN), Guangdong 999 Brain Hospital (CN), Guangzhou Medical University (CN)
Zero hunger
Openalex Percentile: Top 12%
Glioma Diagnosis and Treatment
2.19
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Bioinformatic analysis constructs an optimal prognostic index for survival-related variables (OPISV) based on whole-genome expression data in Glioblastoma — Yueyang Liang, Lin Yang, et al. · International Journal of Biological Macromolecules (2024) | TGRS Research Map | TGRS