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Predicting the Survival Time for Bladder Cancer Using an Additive Hazards Model in Microarray Data
BACKGROUND: One substantial part of microarray studies is to predict patients’ survival based on their gene expression profile. Variable selection techniques are powerful tools to handle high dimensionality in analysis of microarray data. However, these techniques have not been investigated in compe...
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| Veröffentlicht in: | Iran J Public Health |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Tehran University of Medical Sciences
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4841879/ https://ncbi.nlm.nih.gov/pubmed/27114989 |
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