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Bayesian ensemble methods for survival prediction in gene expression data

Motivation: We propose a Bayesian ensemble method for survival prediction in high-dimensional gene expression data. We specify a fully Bayesian hierarchical approach based on an ensemble ‘sum-of-trees’ model and illustrate our method using three popular survival models. Our non-parametric method inc...

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Bibliografiska uppgifter
Huvudupphovsmän: Bonato, Vinicius, Baladandayuthapani, Veerabhadran, Broom, Bradley M., Sulman, Erik P., Aldape, Kenneth D., Do, Kim-Anh
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2011
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3031034/
https://ncbi.nlm.nih.gov/pubmed/21148161
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq660
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