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Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer
Evaluation of survival models to predict cancer patient prognosis is one of the most important areas of emphasis in cancer research. A binary classification approach has difficulty directly predicting survival due to the characteristics of censored observations and the fact that the predictive power...
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| Gepubliceerd in: | J Biomed Inform |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2015
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4550096/ https://ncbi.nlm.nih.gov/pubmed/26048077 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.05.019 |
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