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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...

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Detalhes bibliográficos
Main Authors: Guan, Yuanfang, Myers, Chad L, Hess, David C, Barutcuoglu, Zafer, Caudy, Amy A, Troyanskaya, Olga G
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2008
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2447537/
https://ncbi.nlm.nih.gov/pubmed/18613947
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2008-9-s1-s3
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