SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition

BACKGROUND: Predicting a protein's structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing new representations for protein sequences, called string kernels, for use with support vector machine (SVM) classifiers....

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Detalles Bibliográficos
Autores principales: Melvin, Iain, Ie, Eugene, Kuang, Rui, Weston, Jason, Stafford, William Noble, Leslie, Christina
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892081/
https://www.ncbi.nlm.nih.gov/pubmed/17570145
http://dx.doi.org/10.1186/1471-2105-8-S4-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892081/
https://www.ncbi.nlm.nih.gov/pubmed/17570145
http://dx.doi.org/10.1186/1471-2105-8-S4-S2

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