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Block Forests: random forests for blocks of clinical and omics covariate data
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 structure of...
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| Gepubliceerd in: | BMC Bioinformatics |
|---|---|
| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6598279/ https://ncbi.nlm.nih.gov/pubmed/31248362 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2942-y |
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