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...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Taylor & Francis Group
2024-12-01
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| Sarja: | Future Science OA |
| Aiheet: | |
| Linkit: | https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136 |
| Tagit: |
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