A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients
Aim: The aim of this study was to investigate the prognostic relevance of disulfidptosis-related genes in glioblastoma using bioinformatic analysis in The Cancer Genome Atlas Program-Glioblastoma (TCGA-GBM) database and develop a gene signature model for predicting patient prognosis. Methods: We con...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Future Science OA |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|