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Decentralized Learning Framework of Meta-Survival Analysis for Developing Robust Prognostic Signatures
PURPOSE: A significant hurdle in developing reliable gene expression–based prognostic models has been the limited sample size, which can cause overfitting and false discovery. Combining data from multiple studies can enhance statistical power and reduce spurious findings, but how to address the biol...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Society of Clinical Oncology
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873986/ https://www.ncbi.nlm.nih.gov/pubmed/30657395 http://dx.doi.org/10.1200/CCI.17.00077 |