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Pathway analysis using random forests with bivariate node-split for survival outcomes
Motivation: There is great interest in pathway-based methods for genomics data analysis in the research community. Although machine learning methods, such as random forests, have been developed to correlate survival outcomes with a set of genes, no study has assessed the abilities of these methods i...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2804301/ https://ncbi.nlm.nih.gov/pubmed/19933158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp640 |
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