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An eleven metabolic gene signature-based prognostic model for clear cell renal cell carcinoma
In this study, we performed bioinformatics and statistical analyses to investigate the prognostic significance of metabolic genes in clear cell renal cell carcinoma (ccRCC) using the transcriptome data of 539 ccRCC and 72 normal renal tissues from TCGA database. We identified 79 upregulated and 45 d...
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| Pubblicato in: | Aging (Albany NY) |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Impact Journals
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7746370/ https://ncbi.nlm.nih.gov/pubmed/33221754 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/aging.104088 |
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