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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Biomed Inform
Egile Nagusiak: Kim, Dokyoon, Li, Ruowang, Dudek, Scott M., Ritchie, Marylyn D.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2015
Gaiak:
Sarrera elektronikoa: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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