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Mapping complex traits using Random Forests
Random Forest is a prediction technique based on growing trees on bootstrap samples of data, in conjunction with a random selection of explanatory variables to define the best split at each node. In the case of a quantitative outcome, the tree predictor takes on a numerical value. We applied Random...
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| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2003
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1866502/ https://ncbi.nlm.nih.gov/pubmed/14975132 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-4-S1-S64 |
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