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Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach
MOTIVATION: Biomarker discovery methods are essential to identify a minimal subset of features (e.g., serum markers in predictive medicine) that are relevant to develop prediction models with high accuracy. By now, there exist diverse feature selection methods, which either are embedded, combined, o...
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| Publicat a: | BioData Min |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5116216/ https://ncbi.nlm.nih.gov/pubmed/27891179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-016-0114-4 |
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