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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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Библиографические подробности
Главные авторы: Chen, Rongyi, Zhang, Guoxue, Zhou, Ying, Li, Nan, Lin, Jiaxi
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2014
Предметы:
Online-ссылка: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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