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A time course-dependent metastatic gene expression signature predicts outcome in human metastatic melanomas
BACKGROUND: The prognosis of patients with metastatic melanomas is extremely heterogeneous. Therefore, identifying high-risk subgroups by using innovative prediction models would help to improve selection of appropriate management options. METHODS: In this study, two datasets (GSE7929 and GSE7956) o...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4149277/ https://ncbi.nlm.nih.gov/pubmed/25116415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13000-014-0155-2 |
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