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Block Forests: random forests for blocks of clinical and omics covariate data
Abstract Background In the last years more and more multi-omics data are becoming available, that is, data featuring measurements of several types of omics data for each patient. Using multi-omics data as covariate data in outcome prediction is both promising and challenging due to the complex struc...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMC
2019-06-01
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| Collection: | BMC Bioinformatics |
| Sujets: | |
| Accès en ligne: | http://link.springer.com/article/10.1186/s12859-019-2942-y |
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