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Sequential feature selection and inference using multi-variate random forests
MOTIVATION: Random forest (RF) has become a widely popular prediction generating mechanism. Its strength lies in its flexibility, interpretability and ability to handle large number of features, typically larger than the sample size. However, this methodology is of limited use if one wishes to ident...
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| Published in: | Bioinformatics |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6075534/ https://ncbi.nlm.nih.gov/pubmed/29267851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx784 |
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