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Discovering combinatorial interactions in survival data
Motivation: Although several methods exist to relate high-dimensional gene expression data to various clinical phenotypes, finding combinations of features in such input remains a challenge, particularly when fitting complex statistical models such as those used for survival studies. Results: Our pr...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3834797/ https://ncbi.nlm.nih.gov/pubmed/24037215 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt532 |
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