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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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Detalhes bibliográficos
Publicado no:J Biomed Inform
Main Authors: Kim, Dokyoon, Li, Ruowang, Dudek, Scott M., Ritchie, Marylyn D.
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha: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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