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Differential expression of microRNAs as predictors of glioblastoma phenotypes
BACKGROUND: Glioblastoma is the most aggressive primary central nervous tumor and carries a very poor prognosis. Invasion precludes effective treatment and virtually assures tumor recurrence. In the current study, we applied analytical and bioinformatics approaches to identify a set of microRNAs (mi...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3901345/ https://ncbi.nlm.nih.gov/pubmed/24438171 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-21 |
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