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Knockoff boosted tree for model-free variable selection
MOTIVATION: The recently proposed knockoff filter is a general framework for controlling the false discovery rate (FDR) when performing variable selection. This powerful new approach generates a ‘knockoff’ of each variable tested for exact FDR control. Imitation variables that mimic the correlation...
Gorde:
| Argitaratua izan da: | Bioinformatics |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Oxford University Press
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8128453/ https://ncbi.nlm.nih.gov/pubmed/32966559 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa770 |
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