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Random KNN feature selection - a fast and stable alternative to Random Forests
BACKGROUND: Successfully modeling high-dimensional data involving thousands of variables is challenging. This is especially true for gene expression profiling experiments, given the large number of genes involved and the small number of samples available. Random Forests (RF) is a popular and widely...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3281073/ https://ncbi.nlm.nih.gov/pubmed/22093447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-450 |
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