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Discrete mixture modeling to address genetic heterogeneity in time-to-event regression
Motivation: Time-to-event regression models are a critical tool for associating survival time outcomes with molecular data. Despite mounting evidence that genetic subgroups of the same clinical disease exist, little attention has been given to exploring how this heterogeneity affects time-to-event m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058947/ https://www.ncbi.nlm.nih.gov/pubmed/24532723 http://dx.doi.org/10.1093/bioinformatics/btu065 |