Identification of key genes associated with survival of glioblastoma multiforme using integrated analysis of TCGA datasets
Background and Objective: Glioblastoma (GBM) is the most aggressive type of brain tumor. In spite of having various treatment options, GBM patients usually have a poor prognosis. Genetic markers play a vital role in the progression of the disease. Identification of these novel molecular biomarkers i...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2022-01-01
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| Sarja: | Computer Methods and Programs in Biomedicine Update |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S2666990022000039 |
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