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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901345/ https://www.ncbi.nlm.nih.gov/pubmed/24438171 http://dx.doi.org/10.1186/1471-2105-15-21 |