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Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting
Unraveling interactions among variables such as genetic, clinical, demographic and environmental factors is essential to understand the development of common and complex diseases. To increase the power to detect such variables interactions associated with clinical time-to-events outcomes, we borrowe...
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| Publicado no: | Stat Appl Genet Mol Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5844232/ https://ncbi.nlm.nih.gov/pubmed/29453930 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/sagmb-2017-0038 |
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