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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...
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| Publicado no: | JCO Clin Cancer Inform |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Clinical Oncology
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6873986/ https://ncbi.nlm.nih.gov/pubmed/30657395 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.17.00077 |
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