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Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests
MOTIVATION: Classification of individuals into disease or clinical categories from high-dimensional biological data with low prediction error is an important challenge of statistical learning in bioinformatics. Feature selection can improve classification accuracy but must be incorporated carefully...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870708/ https://ncbi.nlm.nih.gov/pubmed/28472232 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx298 |
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