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Building multiclass classifiers for remote homology detection and fold recognition

BACKGROUND: Protein remote homology detection and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines are currently one of the most effective methods for solving these problems. These methods are primarily used to solve bina...

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Detalhes bibliográficos
Main Authors: Rangwala, Huzefa, Karypis, George
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2006
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1635067/
https://ncbi.nlm.nih.gov/pubmed/17042943
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-455
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