svmPRAT: SVM-based Protein Residue Annotation Toolkit

BACKGROUND: Over the last decade several prediction methods have been developed for determining the structural and functional properties of individual protein residues using sequence and sequence-derived information. Most of these methods are based on support vector machines as they provide accurate...

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Detalles Bibliográficos
Autores principales: Rangwala, Huzefa, Kauffman, Christopher, Karypis, George
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805646/
https://www.ncbi.nlm.nih.gov/pubmed/20028521
http://dx.doi.org/10.1186/1471-2105-10-439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805646/
https://www.ncbi.nlm.nih.gov/pubmed/20028521
http://dx.doi.org/10.1186/1471-2105-10-439

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