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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Detalles Bibliográficos
Autores principales: Chen, Rongyi, Zhang, Guoxue, Zhou, Ying, Li, Nan, Lin, Jiaxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149277/
https://www.ncbi.nlm.nih.gov/pubmed/25116415
http://dx.doi.org/10.1186/s13000-014-0155-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149277/
https://www.ncbi.nlm.nih.gov/pubmed/25116415
http://dx.doi.org/10.1186/s13000-014-0155-2

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