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Predicting gene function in a hierarchical context with an ensemble of classifiers
BACKGROUND: The wide availability of genome-scale data for several organisms has stimulated interest in computational approaches to gene function prediction. Diverse machine learning methods have been applied to unicellular organisms with some success, but few have been extensively tested on higher...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447537/ https://www.ncbi.nlm.nih.gov/pubmed/18613947 http://dx.doi.org/10.1186/gb-2008-9-s1-s3 |