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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Detalles Bibliográficos
Autores principales: Rangwala, Huzefa, Karypis, George
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1635067/
https://www.ncbi.nlm.nih.gov/pubmed/17042943
http://dx.doi.org/10.1186/1471-2105-7-455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1635067/
https://www.ncbi.nlm.nih.gov/pubmed/17042943
http://dx.doi.org/10.1186/1471-2105-7-455

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