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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....
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| 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 |